G. Somers

2.2k citations
61 papers · 1.8k · h-index 23

Impact in

Papers in

G. Somers

59 papers receiving 1.4k citations

Peers

G. Somers
Comparison fields: 5 of 105
  • Endocrinology, Diabetes and Metabolism 644
  • Surgery 1.0k
  • Genetics 453
  • Cell Biology 190
  • Molecular Biology 704
Replace Norman Fleischer with:
Norman Fleischer United States
P. H. Wright United States
D Andreani Italy
Henrik U. Andersen Denmark
L Sestoft Denmark
P.M. Blix United States
D. Reinwein Germany
B. Willms Germany
Azuma Kanatsuka Japan
Renzo Cordera Italy
G. Somers relative to Norman Fleischer United States Norman Fleischer's profile →
Citations per field
00.5×1.7×
Norman Fleischer · 1×
Citations per year

Countries citing papers authored by G. Somers

Since Specialization
Citations

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

Fields of papers citing papers by G. Somers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978132
2 1975122
3 1976109
4 1975109
5 198199
6 197578
7 197376
8 197470
9
Relation between physician characteristics and prescribing for elderly people in New Brunswick.
199466
10 197860
11 198453
12 197952
13 200051
14 197648
15 197845
16 197642
17 197635
18 199833
19 197529
20 199028

About G. Somers

G. Somers is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics and Epidemiology, having authored 61 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (29 papers), Metabolism, Diabetes, and Cancer (17 papers), Diabetes and associated disorders (14 papers), Diabetes Management and Research (14 papers), Neuroendocrine Tumor Research Advances (6 papers), Diet, Metabolism, and Disease (5 papers), Adrenal and Paraganglionic Tumors (4 papers) and Diabetes Treatment and Management (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (644 citations), Surgery (1.0k citations), Genetics (453 citations), Cell Biology (190 citations) and Molecular Biology (704 citations). G. Somers has collaborated with scholars based in Belgium, Switzerland and United Kingdom. Frequent co-authors include Ghislain Devis, Ellen Van Obberghen‐Schilling, Willy Malaisse, Lelio Orci, F Malaisse-Lagae, W. J. Malaisse, Mariella Ravazzola, A. Sener, W J Malaisse and Daniël Pipeleers. Their work appears in journals such as Diabetologia, European Journal of Clinical Investigation, Diabetic Medicine, Diabetes and Nuclear Medicine Communications.

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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