H. Gin

6.6k citations
162 papers · 4.5k · h-index 39

Impact in

  • Nephrology top 0.5%
    • Chronic Kidney Disease and Diabetes
    • Dialysis and Renal Disease Management
    • Diabetes Management and Research
    • Natural Antidiabetic Agents Studies
    • Diabetes Treatment and Management

Papers in

H. Gin

153 papers receiving 4.3k citations

Peers

H. Gin
Comparison fields: 5 of 145
  • Nephrology 652
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Clinical Biochemistry 302
  • Physiology 724
  • Biochemistry 116
Replace Vincent Rigalleau with:
Vincent Rigalleau France
León Ferder Argentina
P Scheffer Netherlands
Raymond J. MacAllister United Kingdom
Andreas Meinitzer Austria
Paul Smits Netherlands
Martin Tepel Germany
Vicente Lahera Spain
Edzard Schwedhelm Germany
Amir Tirosh Israel
H. Gin relative to Vincent Rigalleau France Vincent Rigalleau's profile →
Citations per field
00.5×1.5×2.1×
Vincent Rigalleau · 1×
Citations per year

Countries citing papers authored by H. Gin

Since Specialization
Citations

This map shows the geographic impact of H. Gin'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 H. Gin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Gin more than expected).

Fields of papers citing papers by H. Gin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. Gin. 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 H. Gin. The network helps show where H. Gin may publish in the future.

Co-authors

The 25 scholars most cited alongside H. Gin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with H. Gin Line = papers co-authored together H. Gin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 162 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008272
2 2003216
3 2005147
4 2004144
5 1999123
6 2007109
7 2003102
8 201192
9 200191
10
Post-prandial hyperglycemia. post-prandial hyperglycemia and diabetes.
200090
11 199985
12 201179
13 201979
14 198575
15 201272
16 201069
17 199967
18 200566
19 201165
20 200064

About H. Gin

H. Gin is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Nephrology, Epidemiology and Clinical Biochemistry, having authored 162 papers that have together received 4.5k indexed citations. Recurring topics across this work include Diet and metabolism studies (22 papers), Chronic Kidney Disease and Diabetes (18 papers), Diabetes Management and Research (17 papers), Muscle metabolism and nutrition (14 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Liver Disease Diagnosis and Treatment (9 papers), Metabolism and Genetic Disorders (9 papers) and Metabolism, Diabetes, and Cancer (8 papers). The work is most often cited by research in Nephrology (652 citations), Endocrinology, Diabetes and Metabolism (1.2k citations), Clinical Biochemistry (302 citations), Physiology (724 citations) and Biochemistry (116 citations). H. Gin has collaborated with scholars based in France, Belize and Algeria. Frequent co-authors include Vincent Rigalleau, C. Raffaitin, C. Perlemoine, Christian Combe, Marie-Christine Beauvieux, J Aubertin, Nicole Barthe, Pascale Barberger‐Gateau, Philippe Chauveau and Catherine Lasseur. Their work appears in journals such as Diabetes & Metabolism, Metabolism, Diabetes Care, Diabetic Medicine and Journal of Ethnopharmacology.

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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