Chemical reactions from US patents (1976-Sep2016): papers linking to it

figshare · Dataset · 2017 · doi.org/10.6084/m9.figshare.5104873

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to Chemical reactions from US patents (1976-Sep2016) (https://doi.org/10.6084/m9.figshare.5104873), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

Key findings#

6 papers in the tracked journals link to the figshare dataset Chemical reactions from US patents (1976-Sep2016) in their Crossref records, the first in 2019; most of them (3) in 2021.
By category: AI (6); the journals with the most are Nature Machine Intelligence (6).
4 of the papers build on one another: a later paper cites an earlier one that also links Chemical reactions from US patents (1976-Sep2016).

By year#

20192023

Papers linking to Chemical reactions from US patents (1976-Sep2016) by publication year
Year	Papers
2019	1
2021	3
2023	2

Journals#

Journals whose papers link to Chemical reactions from US patents (1976-Sep2016) most
Journal	Papers
Nature Machine Intelligence	6

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

Mapping the space of chemical reactions using attention-based neural networks Nature Machine Intelligence, 2021
- Reusability report: Learning the language of synthetic methods used in medicinal chemistry Nature Machine Intelligence, 2021 — cites the paper above
- Regression Transformer enables concurrent sequence regression and generation for molecular language modelling Nature Machine Intelligence, 2023 — cites the paper above
- Bridging the gap between chemical reaction pretraining and conditional molecule generation with a unified model Nature Machine Intelligence, 2023 — cites the paper above

Papers linking to Chemical reactions from US patents (1976-Sep2016), most cited first
Published	Title	Journal	Authors	Citations	Link
2021-01-28	Mapping the space of chemical reactions using attention-based neural networks	Nature Machine Intelligence	Philippe Schwaller, Daniel Probst, Alain C. Vaucher et al.	362	cites it
2023-04-06	Regression Transformer enables concurrent sequence regression and generation for molecular language modelling	Nature Machine Intelligence	Jannis Born, Matteo Manica	144	cites it
2019-07-01	Automated de novo molecular design by hybrid machine intelligence and rule-driven chemical synthesis	Nature Machine Intelligence	Alexander L. Button, Daniel Merk, Jan A. Hiss et al.	103	cites it
2021-03-29	Unassisted noise reduction of chemical reaction datasets	Nature Machine Intelligence	Alessandra Toniato, Philippe Schwaller, Antonio Cardinale et al.	62	cites it
2023-12-05	Bridging the gap between chemical reaction pretraining and conditional molecule generation with a unified model	Nature Machine Intelligence	Bo Qiang, Yiran Zhou, Yuheng Ding et al.	28	cites it
2021-07-05	Reusability report: Learning the language of synthetic methods used in medicinal chemistry	Nature Machine Intelligence	Jon Paul Janet, Anna Tomberg, Jonas Boström	4	cites it

How this is measured#

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

Cite this page

Scholar4AI. (2026). Chemical reactions from US patents (1976-Sep2016): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/figshare-5104873

@misc{scholar4ai-code-figshare-5104873,
  author = {{Scholar4AI}},
  title = {Chemical reactions from US patents (1976-Sep2016): papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/figshare-5104873}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).