Jeffrey J. Sutherland
- Molecular Biology top 10%
- Computational Theory and Mathematics top 0.5%
- Organic Chemistry top 10%
- Hematology top 10%
- Spectroscopy top 10%
- Co-authors
- Donald F. WeaverLee A. O’BrienMichal ViethD. H. RobertsonJames StevensRobert M. CampbellJon A. EricksonDavid Lillicrap
- Topics
- Computational Drug Discovery Methods (19 papers)Bioinformatics and Genomic Networks (5 papers)Receptor Mechanisms and Signaling (5 papers)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Jeffrey J. Sutherland
43 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 136
- Molecular Biology 698
- Computational Theory and Mathematics 683
- Organic Chemistry 165
- Hematology 135
- Spectroscopy 131
Countries citing papers authored by Jeffrey J. Sutherland
This map shows the geographic impact of Jeffrey J. Sutherland'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 Jeffrey J. Sutherland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey J. Sutherland more than expected).
Fields of papers citing papers by Jeffrey J. Sutherland
This network shows the impact of papers produced by Jeffrey J. Sutherland. 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 Jeffrey J. Sutherland. The network helps show where Jeffrey J. Sutherland may publish in the future.
Co-authorship network of co-authors of Jeffrey J. Sutherland
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey J. Sutherland. A scholar is included among the top collaborators of Jeffrey J. Sutherland based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeffrey J. Sutherland. Jeffrey J. Sutherland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 17 | |
| 3 | 3 | |
| 4 | 15 | |
| 5 | 53 | |
| 6 | 3 | |
| 7 | 22 | |
| 8 | 7 | |
| 9 | 5 | |
| 10 | 64 | |
| 11 | 25 | |
| 12 | 37 | |
| 13 | 22 | |
| 14 | 26 | |
| 15 | Prioritizing hits from phenotypic high-content screens. | 19 |
| 16 | 133 | |
| 17 | 32 | |
| 18 | 15 | |
| 19 | 56 | |
| 20 | 62 |
About Jeffrey J. Sutherland
Jeffrey J. Sutherland is a scholar working on Family Practice, Computational Theory and Mathematics and Geriatrics and Gerontology, having authored 44 papers that have together received 1.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (19 papers), Bioinformatics and Genomic Networks (5 papers) and Receptor Mechanisms and Signaling (5 papers). The work is most often cited by research in Computational Theory and Mathematics (683 citations), Family Practice (36 citations) and Pharmacology (121 citations). Jeffrey J. Sutherland has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Donald F. Weaver, Lee A. O’Brien, Michal Vieth, D. H. Robertson, James Stevens, Robert M. Campbell, Jon A. Erickson, David Lillicrap, Keith M. Goldstein and Timothy P. Ryan. Their work appears in journals such as Journal of the American Chemical Society, Nature Communications and Blood.
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.