James T Patterson
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Organic Chemistry top 10%
- Oncology
- Co-authors
- Carlos F. BarbasThomas GajRichard D. DiMarchiShigehiro AsanoJia LiuShannon J. SirkChristoph RaderXiuling Li
- Topics
- Receptor Mechanisms and Signaling (7 papers)Monoclonal and Polyclonal Antibodies Research (7 papers)Diabetes Treatment and Management (6 papers)
- Cited by
- Endocrine and Autonomic SystemsEndocrinology, Diabetes and MetabolismRadiology, Nuclear Medicine and Imaging
- Partner nations
- United StatesSwitzerlandIndia
In The Last Decade
James T Patterson
23 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 117
- Molecular Biology 535
- Endocrinology, Diabetes and Metabolism 222
- Radiology, Nuclear Medicine and Imaging 182
- Organic Chemistry 180
- Oncology 162
Countries citing papers authored by James T Patterson
This map shows the geographic impact of James T Patterson'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 James T Patterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James T Patterson more than expected).
Fields of papers citing papers by James T Patterson
This network shows the impact of papers produced by James T Patterson. 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 James T Patterson. The network helps show where James T Patterson may publish in the future.
Co-authorship network of co-authors of James T Patterson
This figure shows the co-authorship network connecting the top 25 collaborators of James T Patterson. A scholar is included among the top collaborators of James T Patterson 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 James T Patterson. James T Patterson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 14 | |
| 3 | 13 | |
| 4 | 18 | |
| 5 | 46 | |
| 6 | 119 | |
| 7 | 14 | |
| 8 | 71 | |
| 9 | 69 | |
| 10 | 10 | |
| 11 | 114 | |
| 12 | 15 | |
| 13 | 3 | |
| 14 | 18 | |
| 15 | 81 | |
| 16 | 151 | |
| 17 | 6 | |
| 18 | 21 | |
| 19 | 114 | |
| 20 | 14 |
About James T Patterson
James T Patterson is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmaceutical Science and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Diabetes Treatment and Management (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (137 citations), Endocrinology, Diabetes and Metabolism (222 citations) and Radiology, Nuclear Medicine and Imaging (182 citations). James T Patterson has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Carlos F. Barbas, Thomas Gaj, Richard D. DiMarchi, Shigehiro Asano, Jia Liu, Shannon J. Sirk, Christoph Rader, Xiuling Li, Matthias H. Tschöp and Diego Pérez–Tilve. Their work appears in journals such as Angewandte Chemie International Edition, Journal of Neuroscience and Nature Neuroscience.
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.