M. Gutt
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Management and Research
- Obstetrics and Gynecology top 10%
- Gestational Diabetes Research and Management
Papers in
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- Diabetes, Cardiovascular Risks, and Lipoproteins 4
- Diabetes Management and Education 3
- Diabetes Management and Research 2
- Diabetes Treatment and Management 1
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- Diet and metabolism studies 2
- Co-authors
- María M. Llabre (6 shared papers)Neil Schneiderman (5 shared papers)Jay S. Skyler (3 shared papers)Jennifer B. Marks (2 shared papers)Catherine L. Davis (2 shared papers)Susan B. Spitzer (1 shared paper)Mahendra Kumar (1 shared paper)Marc D. Gellman (5 shared papers)
- Journals
- Journal of Behavioral Medicine (1 paper)Diabetic Medicine (1 paper)Annals of Behavioral Medicine (1 paper)Journal of Diabetes and its Complications (1 paper)Journal of Clinical Epidemiology (1 paper)
- Partner nations
- United States
In The Last Decade
M. Gutt
8 papers receiving 528 citations
Peers
Comparison fields: 5 of 75
- Endocrinology, Diabetes and Metabolism 245
- Obstetrics and Gynecology 64
- Pharmacy 26
- Physiology 133
- Endocrine and Autonomic Systems 33
Countries citing papers authored by M. Gutt
This map shows the geographic impact of M. Gutt'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 M. Gutt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Gutt more than expected).
Fields of papers citing papers by M. Gutt
This network shows the impact of papers produced by M. Gutt. 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 M. Gutt. The network helps show where M. Gutt may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Gutt, 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 | 2000 | 374 | |
| 2 | 1999 | 55 | |
| 3 | 2016 | 37 | |
| 4 | 2013 | 29 | |
| 5 | 2004 | 23 | |
| 6 | 2016 | 17 | |
| 7 | 1996 | 8 | |
| 8 | 2013 | 4 |
About M. Gutt
M. Gutt is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Epidemiology, Cardiology and Cardiovascular Medicine and Pediatrics, Perinatology and Child Health, having authored 8 papers that have together received 547 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Diabetes Management and Education (3 papers), Diabetes Management and Research (2 papers), Diet and metabolism studies (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Obesity and Health Practices (1 paper), Diabetes Treatment and Management (1 paper) and Cardiovascular Disease and Adiposity (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (245 citations), Obstetrics and Gynecology (64 citations), Pharmacy (26 citations), Physiology (133 citations) and Endocrine and Autonomic Systems (33 citations). M. Gutt has collaborated with scholars based in United States. Frequent co-authors include María M. Llabre, Neil Schneiderman, Jay S. Skyler, Jennifer B. Marks, Catherine L. Davis, Susan B. Spitzer, Mahendra Kumar, Marc D. Gellman, Judith R. McCalla and Ronald Goldberg. Their work appears in journals such as Journal of Behavioral Medicine, Diabetic Medicine, Annals of Behavioral Medicine, Journal of Diabetes and its Complications and Journal of Clinical Epidemiology.
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.