Diane T. Finegood

19.6k citations
129 papers · 10.5k indexed · 4 hit papers · h-index 47

Diane T. Finegood

127 papers receiving 10.1k citations

Hit Papers

The need for a co...7111985202619982012250500750

Peers

Diane T. Finegood
Comparison fields: 5 of 184
  • Endocrinology, Diabetes and Metabolism 3.9k
  • Reproductive Medicine 1.4k
  • Genetics 2.1k
  • Surgery 3.1k
  • Physiology 1.6k
Replace Paul McKeigue with:
Paul McKeigue United Kingdom
Gillian Reeves United Kingdom
Ronald C.W. Hong Kong
Rudolf Kaaks Germany
Nita G. Forouhi United Kingdom
Ronald E. LaPorte United States
Eric L. Ding United States
Nikhil Tandon India
John Yudkin United Kingdom
Marc J. Gunter France
Diane T. Finegood relative to Paul McKeigue United Kingdom Paul McKeigue's profile →
Citations per field
00.5×1.5×2.3×
Paul McKeigue · 1×
Citations per year

Countries citing papers authored by Diane T. Finegood

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Diane T. Finegood, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Diane T. Finegood Line = papers co-authored together Diane T. Finegood links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20235
3 20233
4 20204
5 202049
6 201368
7 201220
8 201140
9 201068
10 2010173
11 200923
12 200710
13 200630
14 200243
15 200177
16
Perspectives in Diabetes. Neonatal beta-Cell Apoptosis. A Trigger for Autoimmune Diabetes?
20001
17 1997330
18 1996348
19 19944
20 1988143

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), Diabetes Management and Research (21 papers), Metabolism, Diabetes, and Cancer (18 papers), Obesity, Physical Activity, Diet (15 papers), Health Policy Implementation Science (13 papers), Global Public Health Policies and Epidemiology (12 papers) and Diabetes Treatment and Management (11 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 Diabetes, The Journal of Clinical Endocrinology & Metabolism, American Journal of Physiology-Endocrinology and Metabolism, Canadian Journal of Diabetes and Transplantation.

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.

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