Gregory T. Golm
-
- Diabetes Treatment and Management 40
- Diabetes Management and Research 20
- Pharmacology top 2%
- Pharmacology and Obesity Treatment 11
- Surgery top 5%
- Pancreatic function and diabetes 14
- Oncology top 5%
- Molecular Biology top 10%
- Metabolism, Diabetes, and Cancer 25
-
- Statistical Methods in Clinical Trials 8
- Advanced Causal Inference Techniques 7
- Statistical Methods and Inference 4
- Co-authors
- Keith D. KaufmanSamuel S. EngelBarry J. GoldsteinJeremy JohnsonDebora Williams‐HermanBrett LauringSteven G. TerraSusan Huyck
- Journals
- SHILAP Revista de lepidopterología (1 paper)Journal of the American College of Cardiology (1 paper)Diabetes Care (1 paper)
- Partner nations
- United StatesFranceChina
In The Last Decade
Gregory T. Golm
50 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 89
- Endocrinology, Diabetes and Metabolism 2.3k
- Pharmacology 367
- Surgery 800
- Oncology 459
- Molecular Biology 1.0k
Countries citing papers authored by Gregory T. Golm
This map shows the geographic impact of Gregory T. Golm'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 Gregory T. Golm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory T. Golm more than expected).
Fields of papers citing papers by Gregory T. Golm
This network shows the impact of papers produced by Gregory T. Golm. 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 Gregory T. Golm. The network helps show where Gregory T. Golm may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gregory T. Golm, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2018 | 10 | |
| 4 | 2018 | 5 | |
| 5 | 2018 | 55 | |
| 6 | 2018 | 70 | |
| 7 | 2017 | 88 | |
| 8 | 2015 | 24 | |
| 9 | 2015 | 32 | |
| 10 | 2014 | 32 | |
| 11 | 2013 | 105 | |
| 12 | 2013 | 9 | |
| 13 | 2012 | 38 | |
| 14 | 2012 | 45 | |
| 15 | 2011 | 20 | |
| 16 | 2011 | 47 | |
| 17 | 2010 | 111 | |
| 18 | 2010 | 215 | |
| 19 | 1999 | 11 | |
| 20 | 1998 | 8 |
About Gregory T. Golm
Gregory T. Golm is a scholar working on Endocrinology, Diabetes and Metabolism, Statistics and Probability and Pharmacology, having authored 52 papers that have together received 2.5k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (40 papers), Metabolism, Diabetes, and Cancer (25 papers), Diabetes Management and Research (20 papers), Pancreatic function and diabetes (14 papers), Pharmacology and Obesity Treatment (11 papers), Statistical Methods in Clinical Trials (8 papers), Advanced Causal Inference Techniques (7 papers) and Statistical Methods and Inference (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.3k citations), Pharmacology (367 citations) and Surgery (800 citations). Gregory T. Golm has collaborated with scholars based in United States, France and China. Frequent co-authors include Keith D. Kaufman, Samuel S. Engel, Barry J. Goldstein, Jeremy Johnson, Debora Williams‐Herman, Brett Lauring, Steven G. Terra, Susan Huyck, James P. Mancuso and Michael J. Davies. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Diabetes Care.
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.