R Gomis

408 citations
10 papers · 285 · h-index 5

Impact in

Papers in

    • Pancreatic function and diabetes 6
    • Esophageal and GI Pathology 1
    • Diabetes and associated disorders 6

R Gomis

9 papers receiving 273 citations

Peers

R Gomis
Comparison fields: 5 of 47
  • Genetics 188
  • Endocrinology, Diabetes and Metabolism 95
  • Immunology 98
  • Surgery 154
  • Aging 3
Replace Qidi Wang with:
Qidi Wang China
Ľubomír Barák Slovakia
Hiroko Fujino-Kurihara Japan
Cristina Belloni Italy
Araceli Panelo Philippines
Klára Farkas Hungary
Masaya Oshima France
Francesca De Taddeo Italy
Ramona Puff Germany
Patrick Rowe United States
R Gomis relative to Qidi Wang China Qidi Wang's profile →
Citations per field
00.5×3.2×
Qidi Wang · 1×
Citations per year

Countries citing papers authored by R Gomis

Since Specialization
Citations

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

Fields of papers citing papers by R Gomis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside R Gomis, 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 R Gomis Line = papers co-authored together R Gomis links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1994186
2 199471
3 199914
4
Functional properties of isolated human pancreatic islets beneficial effects of culture and exposure to high glucose concentrations.
19955
5 20024
6
Islet-cell antibodies: markers of a more severe insulin-dependent diabetes mellitus?
19892
7 19921
8
[Presence of markers predictive of type I pre-diabetes mellitus status in relatives of patients with type I diabetes mellitus].
19961
9
[Antihypertensive treatment with guanfacine in patients with type II diabetes mellitus].
19871
10
[Retinopathy in patients with insulin-dependent diabetes mellitus of short duration].
19960

About R Gomis

R Gomis is a scholar working on Surgery, Genetics, Endocrinology, Diabetes and Metabolism, Molecular Biology and General Health Professions, having authored 10 papers that have together received 285 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (6 papers), Diabetes and associated disorders (6 papers), Diabetes Management and Research (4 papers), Folate and B Vitamins Research (1 paper), Metabolism and Genetic Disorders (1 paper), Diet, Metabolism, and Disease (1 paper), Retinal Diseases and Treatments (1 paper) and Esophageal and GI Pathology (1 paper). The work is most often cited by research in Genetics (188 citations), Endocrinology, Diabetes and Metabolism (95 citations), Immunology (98 citations), Surgery (154 citations) and Aging (3 citations). R Gomis has collaborated with scholars based in Spain. Frequent co-authors include Núria Somoza, Carme Roura‐Mir, A Ariza, Rafael Bragado, Dolores Jaraquemada, Marta Vives‐Pi, F. Vargas, María Teresa Fernández‐Figueras, Mercè Martı́ and Jorge Ferrer. Their work appears in journals such as The Journal of Immunology, Diabetes Care, Journal of Biological Chemistry, Journal of Endocrinological Investigation and Anales de Pediatría.

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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