---
title: "SEER cancer registry: research papers using this data"
description: "From Nov 2023 to Oct 2026, 66 archived papers mentioned SEER cancer registry in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Feb 2024 (6)."
url: https://scholar4ai.com/datasets/seer-cancer-registry
markdown_url: https://scholar4ai.com/datasets/seer-cancer-registry.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 66 archived papers mentioned SEER cancer registry in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Feb 2024 (6). (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)
---

# SEER cancer registry

[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: Surveillance, Epidemiology, and End Results, SEER database, SEER program

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, 66 archived papers mentioned SEER cancer registry in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Feb 2024 (6).
- No paper of the tracked journals mentioned SEER cancer registry in the last 30 days (2026-10-07 to 2026-11-05).
- From 2017 to 2026 (so far), SEER cancer registry was mentioned in 78 papers in the tracked journals, most of them in health economics and policy (35), statistics (19) and AI (12).
- 17 of them were published in 2025, against 0 in 2017.
- Since 2023, the institutions with the most of these papers were University of Michigan (5), Bristol-Myers Squibb (United States) (4) and Bristol-Myers Squibb (United Kingdom) (3).
- The journals publishing most of them were PharmacoEconomics (10), PharmacoEconomics - Open (8) and BMC Medical Research Methodology (7).
- The most-cited of them is “The deep learning applications in IoT-based bio- and medical informatics: a systematic literature review” (Neural Computing and Applications, 2024), with 180 citations.
- Papers use SEER cancer registry most often with Bureau of Labor Statistics (9), Global Burden of Disease (7) and American Community Survey (6); it has 8 partners in the code and data network, in the group around World Development…, Eurostat, International Energy….

## 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 |
|---|---:|---:|---:|---:|
|  | 31 | 17 | 18 | 66 |

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [Health Economics and Policy](https://scholar4ai.com/categories/health-economics-and-policy.md) | 0 | 0 | 2 | 0 | 0 | 0 | 2 | 16 | 7 | 8 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 0 | 1 | 0 | 2 | 0 | 1 | 5 | 3 | 4 | 3 |
| [AI](https://scholar4ai.com/categories/ai.md) | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 4 | 3 | 2 |
| [Economics](https://scholar4ai.com/categories/economics.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 1 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 |
| [Tourism and Hospitality](https://scholar4ai.com/categories/tourism-and-hospitality.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| All categories | 0 | 2 | 3 | 2 | 1 | 1 | 8 | 29 | 17 | 15 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [PharmacoEconomics](https://scholar4ai.com/journals/pharmacoeconomics.md) | 10 |
| 2 | [PharmacoEconomics - Open](https://scholar4ai.com/journals/pharmacoeconomics-open.md) | 8 |
| 3 | [BMC Medical Research Methodology](https://scholar4ai.com/journals/bmc-medical-research-methodology.md) | 7 |
| 4 | [Cost Effectiveness and Resource Allocation](https://scholar4ai.com/journals/cost-effectiveness-and-resource-allocation.md) | 4 |
| 5 | [Journal of Population Economics](https://scholar4ai.com/journals/journal-of-population-economics.md) | 3 |
| 6 | [Applied Health Economics and Health Policy](https://scholar4ai.com/journals/applied-health-economics-and-health-policy.md) | 3 |
| 7 | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | 2 |
| 8 | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2 |
| 9 | [Lifetime Data Analysis](https://scholar4ai.com/journals/lifetime-data-analysis.md) | 2 |
| 10 | [The European Journal of Health Economics](https://scholar4ai.com/journals/the-european-journal-of-health-economics.md) | 2 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [University of Michigan](https://scholar4ai.com/institutions/university-of-michigan.md) | 5 |
| 2 | [Bristol-Myers Squibb (United States)](https://scholar4ai.com/companies/bristol-myers-squibb-united-states.md) | 4 |
| 3 | [Bristol-Myers Squibb (United Kingdom)](https://scholar4ai.com/companies/bristol-myers-squibb-united-kingdom.md) | 3 |
| 4 | [Fudan University](https://scholar4ai.com/institutions/fudan-university.md) | 2 |
| 5 | [Genentech](https://scholar4ai.com/companies/genentech.md) | 2 |
| 6 | [IZA - Institute of Labor Economics](https://scholar4ai.com/institutions/iza-institute-of-labor-economics.md) | 2 |
| 7 | [Lund University](https://scholar4ai.com/institutions/lund-university.md) | 2 |
| 8 | National Cancer Institute | 2 |
| 9 | Sahlgrenska University Hospital | 2 |
| 10 | [Sichuan University](https://scholar4ai.com/institutions/sichuan-university.md) | 2 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | United States | 30 |
| 2 | China | 14 |
| 3 | United Kingdom | 6 |
| 4 | Germany | 4 |
| 5 | Sweden | 4 |
| 6 | Japan | 3 |
| 7 | Portugal | 3 |
| 8 | United Arab Emirates | 2 |
| 9 | Australia | 2 |
| 10 | Switzerland | 2 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [cost-effectiveness](https://scholar4ai.com/keywords/cost-effectiveness.md) | 18 |
| 2 | [quality-adjusted life years](https://scholar4ai.com/keywords/quality-adjusted-life-years.md) | 14 |
| 3 | SEER database | 8 |
| 4 | Markov model | 5 |
| 5 | SEER | 4 |
| 6 | early breast cancer | 4 |
| 7 | first-line therapy | 4 |
| 8 | incremental cost-effectiveness ratio | 4 |
| 9 | non-small cell lung cancer | 4 |
| 10 | [survival analysis](https://scholar4ai.com/keywords/survival-analysis.md) | 4 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 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. |
| 2 | 55 | 0.9 | [Machine learning to guide the use of adjuvant therapies for breast cancer](https://doi.org/10.1038/s42256-021-00353-8) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 2021-06-24 | Ahmed M. Alaa, Deepti Gurdasani, Adrian Llewellyn Harris et al. |
| 3 | 43 | 1.6 | [If health organisations and staff engage in research, does healthcare improve? Strengthening the evidence base through systematic reviews](https://doi.org/10.1186/s12961-024-01187-7) | [Health Research Policy and Systems](https://scholar4ai.com/journals/health-research-policy-and-systems.md) | 2024-08-19 | Annette Boaz, Belinda Goodenough, Stephen Robert Hanney et al. |
| 4 | 21 | 0.2 | [Rising Economic Burden of Renal Cell Carcinoma among Elderly Patients in the USA: Part II—An Updated Analysis of SEER-Medicare Data](https://doi.org/10.1007/s40273-019-00824-2) | [PharmacoEconomics](https://scholar4ai.com/journals/pharmacoeconomics.md) | 2019-07-08 | Ya‐Chen Tina Shih, Ying Xu, Chun‐Ru Chien et al. |
| 5 | 19 | 1.9 | [A survey on group fairness in federated learning: challenges, taxonomy of solutions and directions for future research](https://doi.org/10.1007/s10462-025-11475-5) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2026-01-08 | Teresa Salazar, Helder Jesus Araújo, Alberto Cano et al. |

## Used together with

Papers use SEER cancer registry most often with Bureau of Labor Statistics (9), Global Burden of Disease (7) and American Community Survey (6); it has 8 partners in the code and data network, in the group around World Development…, Eurostat, International Energy….

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

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [Bureau of Labor Statistics](https://scholar4ai.com/datasets/bureau-of-labor-statistics.md) | Dataset | 9 | 15.1 |
| [Global Burden of Disease](https://scholar4ai.com/datasets/global-burden-of-disease.md) | Dataset | 7 | 8.3 |
| [American Community Survey](https://scholar4ai.com/datasets/american-community-survey.md) | Dataset | 6 | 12.4 |
| [Bureau of Economic Analysis](https://scholar4ai.com/datasets/bureau-of-economic-analysis.md) | Dataset | 3 | 9.1 |
| [IPUMS](https://scholar4ai.com/datasets/ipums.md) | Dataset | 3 | 12.3 |
| [MIMIC](https://scholar4ai.com/datasets/mimic.md) | Dataset | 3 | 5.4 |
| [Traffic (PeMS, METR-LA)](https://scholar4ai.com/datasets/traffic-pems-metr-la.md) | Dataset | 3 | 8.5 |
| [US health surveys (NHANES, BRFSS, MEPS)](https://scholar4ai.com/datasets/us-health-surveys-nhanes-brfss-meps.md) | Dataset | 3 | 6.5 |

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

## Cite this page

Scholar4AI. (2026). SEER cancer registry. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/seer-cancer-registry

```bibtex
@misc{scholar4ai-datasets-seer-cancer-registry,
  author = {{Scholar4AI}},
  title = {SEER cancer registry},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/seer-cancer-registry}},
  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/).