M. Gutt

893 total citations
8 papers, 547 citations indexed

About

M. Gutt is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Epidemiology. According to data from OpenAlex, M. Gutt has authored 8 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Physiology and 2 papers in Epidemiology. Recurrent topics in M. Gutt's work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Diabetes Management and Education (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). M. Gutt is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Diabetes Management and Education (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). M. Gutt collaborates with scholars based in United States. M. Gutt's 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 and has published in prestigious journals such as Journal of Clinical Epidemiology, International Journal of Obesity and Psychosomatic Medicine.

In The Last Decade

M. Gutt

8 papers receiving 528 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
M. Gutt United States	7	245	133	112	109	99	8	547
R J Morris United Kingdom	6	304 1.2×	113 0.8×	97 0.9×	82 0.8×	109 1.1×	9	517
RE Pratley United States	4	260 1.1×	265 2.0×	146 1.3×	48 0.4×	116 1.2×	7	665
Nikki C. Bush United States	16	145 0.6×	302 2.3×	175 1.6×	85 0.8×	65 0.7×	24	614
Ariane Boivin Canada	11	119 0.5×	118 0.9×	86 0.8×	62 0.6×	47 0.5×	13	504
Camilla Andreasen Denmark	14	193 0.8×	204 1.5×	144 1.3×	51 0.5×	210 2.1×	25	953
Rumyana Dimova Bulgaria	13	167 0.7×	137 1.0×	84 0.8×	94 0.9×	61 0.6×	37	504
Theresia M. Schnurr Denmark	12	115 0.5×	170 1.3×	57 0.5×	58 0.5×	99 1.0×	38	543
Soulmaz Shorakae Australia	15	165 0.7×	87 0.7×	55 0.5×	119 1.1×	72 0.7×	27	892
Mario Ciampelli Italy	17	253 1.0×	62 0.5×	84 0.8×	134 1.2×	85 0.9×	40	982
Junling Fu China	15	114 0.5×	200 1.5×	103 0.9×	69 0.6×	131 1.3×	44	551

Countries citing papers authored by M. Gutt

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of M. Gutt

This figure shows the co-authorship network connecting the top 25 collaborators of M. Gutt. A scholar is included among the top collaborators of M. Gutt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Gutt. M. Gutt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Chirinos, Diana A., Ronald Goldberg, María M. Llabre, et al.. (2016). Lifestyle modification and weight reduction among low-income patients with the metabolic syndrome: the CHARMS randomized controlled trial. Journal of Behavioral Medicine. 39(3). 483–492. 17 indexed citations

Moncrieft, Ashley E., María M. Llabre, Judith R. McCalla, et al.. (2016). Effects of a Multicomponent Life-Style Intervention on Weight, Glycemic Control, Depressive Symptoms, and Renal Function in Low-Income, Minority Patients With Type 2 Diabetes: Results of the Community Approach to Lifestyle Modification for Diabetes Randomized Controlled Trial. Psychosomatic Medicine. 78(7). 851–860. 37 indexed citations

Chirinos, Diana A., Ronald Goldberg, Marc D. Gellman, et al.. (2013). Leptin and its Association with Somatic Depressive Symptoms in Patients with the Metabolic Syndrome. Annals of Behavioral Medicine. 46(1). 31–39. 29 indexed citations

Birnbaum‐Weitzman, Orit, Ronald Goldberg, Barry E. Hurwitz, et al.. (2013). Depressive symptoms linked to 1‐h plasma glucose concentrations during the oral glucose tolerance test in men and women with the metabolic syndrome. Diabetic Medicine. 31(5). 630–636. 4 indexed citations

López-Jiménez, Francisco, M. Gutt, Justo Sierra‐Johnson, et al.. (2004). Recognition, diagnosis and management of obesity after myocardial infarction. International Journal of Obesity. 29(1). 137–141. 23 indexed citations

Gutt, M., Catherine L. Davis, Susan B. Spitzer, et al.. (2000). Validation of the insulin sensitivity index (ISI0,120): comparison with other measures. Diabetes Research and Clinical Practice. 47(3). 177–184. 374 indexed citations

Davis, Catherine L., M. Gutt, María M. Llabre, et al.. (1999). History of Gestational Diabetes, Insulin Resistance and Coronary Risk. Journal of Diabetes and its Complications. 13(4). 216–223. 55 indexed citations

Donahue, Richard P., Ronald J. Prineas, Judy A. Bean, et al.. (1996). Insulin sensitivity and blood pressure in a biethnic sample: The Miami community health study. Journal of Clinical Epidemiology. 49(8). 859–864. 8 indexed citations

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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