H. Gin

6.6k citations
161 papers · 4.3k · h-index 38

Impact in

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

Papers in

H. Gin

152 papers receiving 4.1k citations

Peers

H. Gin
Comparison fields: 5 of 147
  • Nephrology 713
  • Endocrinology, Diabetes and Metabolism 1.5k
  • Clinical Biochemistry 348
  • Physiology 945
  • Biochemistry 136
Replace Vincent Rigalleau with:
Vincent Rigalleau France
León Ferder Argentina
P Scheffer Netherlands
Tomáš Zima Czechia
Edzard Schwedhelm Germany
Andreas Meinitzer Austria
Raymond J. MacAllister United Kingdom
Paul Smits Netherlands
Michiaki Fukui Japan
Massimo Collino Italy
H. Gin relative to Vincent Rigalleau France Vincent Rigalleau's profile →
Citations per field
00.5×1.5×2.0×
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 161 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008259
2 2003198
3 2005146
4 2004138
5 1999121
6 2007106
7 200397
8 201190
9
Post-prandial hyperglycemia. post-prandial hyperglycemia and diabetes.
200088
10 200184
11 199981
12 201177
13 198571
14 201270
15 201968
16 201067
17 200566
18 200064
19 199962
20 201260

About H. Gin

H. Gin is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Epidemiology, Nephrology and Molecular Biology, having authored 161 papers that have together received 4.3k indexed citations. Recurring topics across this work include Diet and metabolism studies (30 papers), Diabetes Management and Research (27 papers), Liver Disease Diagnosis and Treatment (19 papers), Chronic Kidney Disease and Diabetes (18 papers), Muscle metabolism and nutrition (18 papers), Dialysis and Renal Disease Management (17 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers) and Diabetes and associated disorders (12 papers). The work is most often cited by research in Nephrology (713 citations), Endocrinology, Diabetes and Metabolism (1.5k citations), Clinical Biochemistry (348 citations), Physiology (945 citations) and Biochemistry (136 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, Nicole Barthe, J Aubertin, 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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