M. Gutt
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Management and Research
- Obstetrics and Gynecology top 10%
- Gestational Diabetes Research and Management
Papers in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 3
- Diabetes Management and Research 1
- Diabetes Treatment and Management 1
- Diabetes Management and Education 1
- 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)Mahendra Kumar (1 shared paper)Susan B. Spitzer (1 shared paper)Marc D. Gellman (5 shared papers)
- Journals
- Diabetic Medicine (1 paper)Psychosomatic Medicine (1 paper)Annals of Behavioral Medicine (1 paper)Diabetes Research and Clinical Practice (1 paper)Journal of Behavioral Medicine (1 paper)
- Partner nations
- United StatesNorwayAustralia
In The Last Decade
M. Gutt
8 papers receiving 543 citations
Peers
Comparison fields: 5 of 72
- Endocrinology, Diabetes and Metabolism 195
- Obstetrics and Gynecology 53
- Pharmacy 16
- Biological Psychiatry 8
- Endocrine and Autonomic Systems 21
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 | 388 | |
| 2 | 1999 | 55 | |
| 3 | 2016 | 38 | |
| 4 | 2013 | 30 | |
| 5 | 2004 | 24 | |
| 6 | 2016 | 18 | |
| 7 | 1996 | 8 | |
| 8 | 2013 | 4 |
About M. Gutt
M. Gutt is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health, Endocrine and Autonomic Systems and Epidemiology, having authored 8 papers that have together received 565 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Diabetes Management and Research (1 paper), Gestational Diabetes Research and Management (1 paper), Obesity, Physical Activity, Diet (1 paper), Adipokines, Inflammation, and Metabolic Diseases (1 paper), Diabetes Treatment and Management (1 paper), Diabetes Management and Education (1 paper) and Birth, Development, and Health (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (195 citations), Obstetrics and Gynecology (53 citations), Pharmacy (16 citations), Biological Psychiatry (8 citations) and Endocrine and Autonomic Systems (21 citations). M. Gutt has collaborated with scholars based in United States, Norway and Australia. Frequent co-authors include María M. Llabre, Neil Schneiderman, Jay S. Skyler, Jennifer B. Marks, Catherine L. Davis, Mahendra Kumar, Susan B. Spitzer, Marc D. Gellman, Judith R. McCalla and Ronald Goldberg. Their work appears in journals such as Diabetic Medicine, Psychosomatic Medicine, Annals of Behavioral Medicine, Diabetes Research and Clinical Practice and Journal of Behavioral Medicine.
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.