Jean M. Whaley
- Molecular Biology top 5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Surgery top 2%
- Cancer Research top 2%
- Oncology top 5%
- Co-authors
- Scott C. ThomsonVolker VallonTimo RiegDeborah HaganNikolai KleyJames F. ListDavid N. LouisRichard Y. Chung
- Topics
- Diabetes Treatment and Management (16 papers)Pancreatic function and diabetes (12 papers)Metabolism, Diabetes, and Cancer (9 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Jean M. Whaley
32 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Molecular Biology 1.9k
- Endocrinology, Diabetes and Metabolism 1.6k
- Surgery 1.2k
- Cancer Research 778
- Oncology 567
Countries citing papers authored by Jean M. Whaley
This map shows the geographic impact of Jean M. Whaley'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 Jean M. Whaley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean M. Whaley more than expected).
Fields of papers citing papers by Jean M. Whaley
This network shows the impact of papers produced by Jean M. Whaley. 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 Jean M. Whaley. The network helps show where Jean M. Whaley may publish in the future.
Co-authorship network of co-authors of Jean M. Whaley
This figure shows the co-authorship network connecting the top 25 collaborators of Jean M. Whaley. A scholar is included among the top collaborators of Jean M. Whaley 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 Jean M. Whaley. Jean M. Whaley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 11 | |
| 3 | 55 | |
| 4 | 12 | |
| 5 | 52 | |
| 6 | 239 | |
| 7 | 147 | |
| 8 | 250 | |
| 9 | 74 | |
| 10 | SGLT2 Mediates Glucose Reabsorption in the Early Proximal Tubulebreakdown → | 446 |
| 11 | 43 | |
| 12 | 108 | |
| 13 | The von Hippel-Lindau Tumor Suppressor Protein Is Required for Proper Assembly of an Extracellular Fibronectin Matrixbreakdown → | 395 |
| 14 | 8 | |
| 15 | Germline mutations in the VHL tumor suppresssor gene are similar to somatic VHL aberrations in sporadic renal cell carcinoma | 1 |
| 16 | 195 | |
| 17 | 6 | |
| 18 | 118 | |
| 19 | 9 | |
| 20 | 43 |
About Jean M. Whaley
Jean M. Whaley is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Oncology, having authored 32 papers that have together received 3.7k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (16 papers), Pancreatic function and diabetes (12 papers) and Metabolism, Diabetes, and Cancer (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.6k citations), Cancer Research (778 citations) and Nephrology (289 citations). Jean M. Whaley has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Scott C. Thomson, Volker Vallon, Timo Rieg, Deborah Hagan, Nikolai Kley, James F. List, David N. Louis, Richard Y. Chung, Bernd R. Seizinger and Kenneth A. Platt. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Cell and Diabetes.
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.