---
title: "TCGA: papers using this data, journals and trends"
description: "From Nov 2023 to Oct 2026, 151 archived papers mentioned TCGA in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jan 2025 (11)."
url: https://scholar4ai.com/datasets/tcga
markdown_url: https://scholar4ai.com/datasets/tcga.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 151 archived papers mentioned TCGA in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jan 2025 (11). (as of 2026-11-05)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-05T06:02:37+09:00
window: 2026-10-07 to 2026-11-05
source: OpenAlex (CC0)
---

# TCGA

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/6.md)

Clinical records, medical images and physiological signals used in medical machine learning.

- data category: Medical and clinical datasets
- 0 papers in the last 7 days
- Names searched for: The Cancer Genome Atlas, TCGA

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Medical and clinical datasets datasets: https://scholar4ai.com/datasets/medical-and-clinical-datasets.md



## Key findings

- From Nov 2023 to Oct 2026, 151 archived papers mentioned TCGA in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jan 2025 (11).
- TCGA was mentioned in 2 papers in the last 30 days (2026-10-07 to 2026-11-05), ranking #127 of the 246 datasets mentioned.
- By journal category: Operations Research (1) and AI (1).
- Most of them appeared in Methodology And Computing In Applied Probability (1) and Pattern Recognition (1).
- From 2017 to 2026 (so far), TCGA was mentioned in 180 papers in the tracked journals, most of them in AI (147), statistics (25) and operations research (6).
- 59 of them were published in 2025, against 1 in 2017.
- Since 2023, the institutions with the most of these papers were Chinese Academy of Sciences (6), Tsinghua University (4) and Central South University (3).
- The journals publishing most of them were Artificial Intelligence Review (20), Pattern Recognition (12) and Medical Image Analysis (12).
- The most-cited of them is “Medical Image Segmentation Review: The Success of U-Net” (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024), with 1,065 citations.
- Papers use TCGA most often with BraTS (27), ImageNet (26) and Kaggle (17); it has 18 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.

## Mentions over 36 months

*Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)*

| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---:|---:|---:|---:|
|  | 52 | 53 | 46 | 151 |

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [AI](https://scholar4ai.com/categories/ai.md) | 0 | 0 | 3 | 3 | 5 | 8 | 11 | 45 | 47 | 25 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 6 | 9 | 6 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 3 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| [Economics](https://scholar4ai.com/categories/economics.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| All categories | 1 | 1 | 3 | 3 | 6 | 9 | 13 | 51 | 59 | 34 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 20 |
| 2 | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 12 |
| 3 | [Medical Image Analysis](https://scholar4ai.com/journals/medical-image-analysis.md) | 12 |
| 4 | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 11 |
| 5 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 11 |
| 6 | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 10 |
| 7 | [Artificial Intelligence in Medicine](https://scholar4ai.com/journals/artificial-intelligence-in-medicine.md) | 8 |
| 8 | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 6 |
| 9 | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 5 |
| 10 | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 4 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 6 |
| 2 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 4 |
| 3 | [Central South University](https://scholar4ai.com/institutions/central-south-university.md) | 3 |
| 4 | [Chinese University of Hong Kong](https://scholar4ai.com/institutions/chinese-university-of-hong-kong.md) | 3 |
| 5 | [Hong Kong Polytechnic University](https://scholar4ai.com/institutions/hong-kong-polytechnic-university.md) | 3 |
| 6 | [Imperial College London](https://scholar4ai.com/institutions/imperial-college-london.md) | 3 |
| 7 | [Shanghai Jiao Tong University](https://scholar4ai.com/institutions/shanghai-jiao-tong-university.md) | 3 |
| 8 | [South China University of Technology](https://scholar4ai.com/institutions/south-china-university-of-technology.md) | 3 |
| 9 | [The University of Sydney](https://scholar4ai.com/institutions/the-university-of-sydney.md) | 3 |
| 10 | [UNSW Sydney](https://scholar4ai.com/institutions/unsw-sydney.md) | 3 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 52 |
| 2 | United States | 35 |
| 3 | United Kingdom | 18 |
| 4 | Australia | 13 |
| 5 | Germany | 11 |
| 6 | India | 11 |
| 7 | Canada | 10 |
| 8 | Spain | 9 |
| 9 | Hong Kong | 8 |
| 10 | Turkey | 8 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | TCGA | 27 |
| 2 | whole slide images | 20 |
| 3 | breast cancer | 12 |
| 4 | cancer classification | 10 |
| 5 | [explainable AI](https://scholar4ai.com/keywords/explainable-ai.md) | 10 |
| 6 | [high-dimensional data](https://scholar4ai.com/keywords/high-dimensional-data.md) | 10 |
| 7 | histopathology | 9 |
| 8 | [multimodal fusion](https://scholar4ai.com/keywords/multimodal-fusion.md) | 9 |
| 9 | survival prediction | 9 |
| 10 | cancer survival prediction | 8 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 1,065 | 40.2 | [Medical Image Segmentation Review: The Success of U-Net](https://doi.org/10.1109/tpami.2024.3435571) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2024-08-21 | Reza Azad, Ehsan Khodapanah Aghdam, Amelie Rauland et al. |
| 2 | 522 | 16.4 | [Federated learning for medical image analysis: A survey](https://doi.org/10.1016/j.patcog.2024.110424) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 2024-03-12 | Hao Guan, Pew‐Thian Yap, Andrea Bozoki et al. |
| 3 | 180 | 5.3 | [The deep learning applications in IoT-based bio- and medical informatics: a systematic literature review](https://doi.org/10.1007/s00521-023-09366-3) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 2024-01-13 | Zahra Amiri, Arash Heidari, Nima Jafari Navimipour et al. |
| 4 | 176 | 6.3 | [Deep learning for lungs cancer detection: a review](https://doi.org/10.1007/s10462-024-10807-1) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2024-07-08 | Rabia Javed, Tahir Abbas, Ali Haider Khan et al. |
| 5 | 164 | 4.5 | [BEST: a web application for comprehensive biomarker exploration on large-scale data in solid tumors](https://doi.org/10.1186/s40537-023-00844-y) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 2023-11-01 | Zaoqu Liu, Long Liu, Siyuan Weng et al. |

## Used together with

Papers use TCGA most often with BraTS (27), ImageNet (26) and Kaggle (17); it has 18 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.

*What papers use TCGA together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [BraTS](https://scholar4ai.com/datasets/brats.md) | Dataset | 27 | 26.2 |
| [ImageNet](https://scholar4ai.com/datasets/imagenet.md) | Dataset | 26 | 2.9 |
| [Kaggle](https://scholar4ai.com/datasets/kaggle.md) | Dataset | 17 | 7.8 |
| [MNIST / Fashion-MNIST](https://scholar4ai.com/datasets/mnist-fashion-mnist.md) | Dataset | 15 | 3.6 |
| [ADNI](https://scholar4ai.com/datasets/adni.md) | Dataset | 10 | 10.8 |
| [CIFAR-10 / CIFAR-100](https://scholar4ai.com/datasets/cifar-10-cifar-100.md) | Dataset | 9 | 1.7 |
| [ISIC skin lesion archive](https://scholar4ai.com/datasets/isic-skin-lesion-archive.md) | Dataset | 8 | 21.8 |
| [MIMIC](https://scholar4ai.com/datasets/mimic.md) | Dataset | 7 | 5.5 |
| [Twitter / X](https://scholar4ai.com/datasets/twitter-x.md) | Dataset | 6 | 0.4 |
| [Chest X-ray (CheXpert, ChestX-ray14)](https://scholar4ai.com/datasets/chest-x-ray-chexpert-chestx-ray14.md) | Dataset | 5 | 13.8 |
| [LIDC-IDRI](https://scholar4ai.com/datasets/lidc-idri.md) | Dataset | 5 | 20.0 |
| [UCI Machine Learning Repository](https://scholar4ai.com/datasets/uci-machine-learning-repository.md) | Dataset | 5 | 2.1 |

The whole network: https://scholar4ai.com/code/network.md

## Papers

*Papers mentioning TCGA in the last 30 days, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-12 | [A Selective Review of Statistical Significance in Cluster Analysis](https://doi.org/10.1007/s11009-026-10343-1) | [Methodology And Computing In Applied Probability](https://scholar4ai.com/journals/methodology-and-computing-in-applied-probability.md) | Yifan Dai, Hui Shen, Yufeng Liu | University of North Carolina at Chapel Hill; McGill University; University of Michigan |
| 2026-10-11 | [HGMamSurv: a hypergraph mamba network for cancer survival prediction on whole slide images](https://doi.org/10.1016/j.patcog.2026.115144) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Saisai Ding, Yihan Deng, Jiawei Sun et al. | Chinese Academy of Sciences; Suzhou Institute of Biomedical Engineering and Technology |

## Cite this page

Scholar4AI. (2026). TCGA. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/tcga

```bibtex
@misc{scholar4ai-datasets-tcga,
  author = {{Scholar4AI}},
  title = {TCGA},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/tcga}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).