Diane T. Finegood
- Endocrinology, Diabetes and Metabolism top 0.2%
- Surgery top 0.5%
- Genetics top 0.5%
- Molecular Biology top 5%
- Public Health, Environmental and Occupational Health top 0.5%
- Co-authors
- Richard N. BergmanAndrea DunaifMarilyn AderSusan Bonner‐WeirLuisa ScagliaRichard S. LegroMladen VranićBrian Topp
- Topics
- Pancreatic function and diabetes (43 papers)Diabetes and associated disorders (29 papers)Diabetes Management and Research (21 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Diane T. Finegood
127 papers receiving 10.1k citations
Hit Papers
Peers
Comparison fields: 5 of 184
- Endocrinology, Diabetes and Metabolism 3.9k
- Surgery 3.1k
- Genetics 2.1k
- Molecular Biology 2.1k
- Public Health, Environmental and Occupational Health 1.8k
Countries citing papers authored by Diane T. Finegood
This map shows the geographic impact of Diane T. Finegood'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 Diane T. Finegood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diane T. Finegood more than expected).
Fields of papers citing papers by Diane T. Finegood
This network shows the impact of papers produced by Diane T. Finegood. 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 Diane T. Finegood. The network helps show where Diane T. Finegood may publish in the future.
Co-authorship network of co-authors of Diane T. Finegood
This figure shows the co-authorship network connecting the top 25 collaborators of Diane T. Finegood. A scholar is included among the top collaborators of Diane T. Finegood 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 Diane T. Finegood. Diane T. Finegood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 49 | |
| 6 | 68 | |
| 7 | 20 | |
| 8 | 40 | |
| 9 | 68 | |
| 10 | 173 | |
| 11 | 23 | |
| 12 | 10 | |
| 13 | 30 | |
| 14 | 43 | |
| 15 | 77 | |
| 16 | Perspectives in Diabetes. Neonatal beta-Cell Apoptosis. A Trigger for Autoimmune Diabetes? | 1 |
| 17 | 330 | |
| 18 | 348 | |
| 19 | 4 | |
| 20 | 143 |
About Diane T. Finegood
Diane T. Finegood is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacy and Organizational Behavior and Human Resource Management, having authored 129 papers that have together received 10.5k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (43 papers), Diabetes and associated disorders (29 papers) and Diabetes Management and Research (21 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.9k citations), Reproductive Medicine (1.4k citations) and Genetics (2.1k citations). Diane T. Finegood has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Richard N. Bergman, Andrea Dunaif, Marilyn Ader, Susan Bonner‐Weir, Luisa Scaglia, Richard S. Legro, Mladen Vranić, Brian Topp, Jan Dutz and Harry Rutter. Their work appears in journals such as Nature, The Lancet and Journal of Clinical Investigation.
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.