Christopher Ré
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 1%
- AI in cancer detection
- Topic Modeling
- Machine Learning and Data Classification
Papers in ⓘ
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- Topic Modeling 6
- AI in cancer detection 5
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- Bioinformatics and Genomic Networks 5
- Genomics and Phylogenetic Studies 4
- Biomedical Text Mining and Ontologies 4
- Co-authors
- Daniel L. Rubin (7 shared papers)Russ B. Altman (4 shared papers)M Snyder (6 shared papers)Kun‐Hsing Yu (5 shared papers)Gerald J. Berry (3 shared papers)Ce Zhang (3 shared papers)Ihab F. Ilyas (2 shared papers)Theodoros Rekatsinas (2 shared papers)
- Journals
- Nature Communications (3 papers)Proceedings of the VLDB Endowment (3 papers)Journal of Proteome Research (2 papers)npj Digital Medicine (2 papers)Radiology Artificial Intelligence (1 paper)
- Partner nations
- United StatesUnited KingdomTaiwan
In The Last Decade
Christopher Ré
45 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Health Informatics 137
- Artificial Intelligence 1.3k
- Radiology, Nuclear Medicine and Imaging 677
- Management Science and Operations Research 260
- Biophysics 96
Countries citing papers authored by Christopher Ré
This map shows the geographic impact of Christopher Ré's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Christopher Ré with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Ré more than expected).
Fields of papers citing papers by Christopher Ré
This network shows the impact of papers produced by Christopher Ré. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Christopher Ré. The network helps show where Christopher Ré may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Ré, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features Hit paper breakdown → | 2016 | 680 |
| 2 | 2017 | 265 | |
| 3 | 2019 | 201 | |
| 4 | 2018 | 150 | |
| 5 | Sequence modeling and design from molecular to genome scale with Evo Hit paper breakdown → | 2024 | 127 |
| 6 | 2020 | 82 | |
| 7 | 2017 | 79 | |
| 8 | 2019 | 76 | |
| 9 | 2022 | 72 | |
| 10 | 2014 | 69 | |
| 11 | 2019 | 56 | |
| 12 | 2015 | 52 | |
| 13 | 2020 | 47 | |
| 14 | 2016 | 42 | |
| 15 | 2018 | 22 | |
| 16 | Feature Engineering for Knowledge Base Construction. | 2014 | 21 |
| 17 | Parallel Feature Selection Inspired by Group Testing | 2014 | 21 |
| 18 | Understanding Tables in Context Using Standard NLP Toolkits | 2013 | 20 |
| 19 | 2020 | 20 | |
| 20 | 2018 | 16 |
About Christopher Ré
Christopher Ré is a scholar working on Artificial Intelligence, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Management Science and Operations Research and Pulmonary and Respiratory Medicine, having authored 47 papers that have together received 2.3k indexed citations. Recurring topics across this work include Data Quality and Management (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Topic Modeling (6 papers), AI in cancer detection (5 papers), Bioinformatics and Genomic Networks (5 papers), Genomics and Phylogenetic Studies (4 papers), Medical Imaging Techniques and Applications (4 papers) and Biomedical Text Mining and Ontologies (4 papers). The work is most often cited by research in Health Informatics (137 citations), Artificial Intelligence (1.3k citations), Radiology, Nuclear Medicine and Imaging (677 citations), Management Science and Operations Research (260 citations) and Biophysics (96 citations). Christopher Ré has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Daniel L. Rubin, Russ B. Altman, M Snyder, Kun‐Hsing Yu, Gerald J. Berry, Ce Zhang, Ihab F. Ilyas, Theodoros Rekatsinas, Xu Chu and Jared Dunnmon. Their work appears in journals such as Nature Communications, Proceedings of the VLDB Endowment, Journal of Proteome Research, npj Digital Medicine and Radiology Artificial Intelligence.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.