Robert L. Hanson
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Obstetrics and Gynecology top 0.2%
- Gestational Diabetes Research and Management
Papers in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 58
- Genetics 103
- Genetic Associations and Epidemiology 58
- Diabetes and associated disorders 36
- Co-authors
- William C. KnowlerPeter H. BennettGiuseppina ImperatoreRobert S. LindsayDavid J. PettittSayuko KobesHelen C. LookerRobert G. Nelson
- Journals
- Diabetes (66 papers)Diabetes Care (35 papers)Diabetologia (34 papers)Obesity (13 papers)The Journal of Clinical Endocrinology & Metabolism (12 papers)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Robert L. Hanson
337 papers receiving 18.5k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Endocrinology, Diabetes and Metabolism 5.3k
- Obstetrics and Gynecology 2.0k
- Nephrology 1.1k
- Endocrine and Autonomic Systems 1.1k
- Physiology 4.0k
Countries citing papers authored by Robert L. Hanson
This map shows the geographic impact of Robert L. Hanson'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 Robert L. Hanson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert L. Hanson more than expected).
Fields of papers citing papers by Robert L. Hanson
This network shows the impact of papers produced by Robert L. Hanson. 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 Robert L. Hanson. The network helps show where Robert L. Hanson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert L. Hanson, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 34 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 5 | |
| 11 | 2021 | 13 | |
| 12 | 2019 | 59 | |
| 13 | 2019 | 16 | |
| 14 | 2017 | 34 | |
| 15 | 2000 | 233 | |
| 16 | 1998 | 62 | |
| 17 | 1995 | 4 | |
| 18 | 1994 | 84 | |
| 19 | 1994 | 370 | |
| 20 | 1979 | 29 |
About Robert L. Hanson
Robert L. Hanson is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Nephrology, Endocrine and Autonomic Systems and Obstetrics and Gynecology, having authored 345 papers that have together received 19.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (58 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (58 papers), Birth, Development, and Health (40 papers), Diabetes and associated disorders (36 papers), Pancreatic function and diabetes (35 papers), Obesity, Physical Activity, Diet (32 papers), Chronic Kidney Disease and Diabetes (24 papers) and Metabolism, Diabetes, and Cancer (22 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (5.3k citations), Obstetrics and Gynecology (2.0k citations), Nephrology (1.1k citations), Endocrine and Autonomic Systems (1.1k citations) and Physiology (4.0k citations). Robert L. Hanson has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include William C. Knowler, Peter H. Bennett, Giuseppina Imperatore, Robert S. Lindsay, David J. Pettitt, Sayuko Kobes, Helen C. Looker, Robert G. Nelson, Leslie J. Baier and Janine Roumain. Their work appears in journals such as Diabetes, Diabetes Care, Diabetologia, Obesity and The Journal of Clinical Endocrinology & Metabolism.
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.