V. Sulmont

1.1k total citations
19 papers, 718 citations indexed

About

V. Sulmont is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, V. Sulmont has authored 19 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Surgery and 9 papers in Genetics. Recurrent topics in V. Sulmont's work include Diabetes Management and Research (10 papers), Pancreatic function and diabetes (9 papers) and Diabetes and associated disorders (6 papers). V. Sulmont is often cited by papers focused on Diabetes Management and Research (10 papers), Pancreatic function and diabetes (9 papers) and Diabetes and associated disorders (6 papers). V. Sulmont collaborates with scholars based in France, United States and Belgium. V. Sulmont's co-authors include H. Hanaire, Bruno Guerci, N. Jeandidier, Éric Renard, Marc Nicolino, Yves Reznik, D. Raccah, Raja Brauner, R Rappaport and Manuel Fontoura and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and Diabetes.

In The Last Decade

V. Sulmont

19 papers receiving 683 citations

Peers

V. Sulmont
Comparison fields: 5 of 59
  • Endocrinology, Diabetes and Metabolism 539
  • Surgery 391
  • Genetics 370
  • Molecular Biology 143
  • Reproductive Medicine 65
Replace J. A. Edge with:
J. A. Edge United Kingdom
PM Holterhus Germany
Georgia Kassi Greece
Marco Capizzi Italy
J. C. Sodoyez Belgium
Bonita Franklin United States
Pablo Cure United States
Paul Taelman Belgium
Jørgen Knudtzon Norway
P Pirazzoli Italy
J. A. Edge United Kingdom View profile →
Citations per field, relative to V. Sulmont
V. Sulmont · 1×
Citations per year, relative to V. Sulmont
V. Sulmont · 1×

Countries citing papers authored by V. Sulmont

Since Specialization
Citations

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

Fields of papers citing papers by V. Sulmont

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Sulmont

This figure shows the co-authorship network connecting the top 25 collaborators of V. Sulmont. A scholar is included among the top collaborators of V. Sulmont 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 V. Sulmont. V. Sulmont is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 2
2 12
3 30
4 68
5 29
6 20
7 52
8 31
9 1
10 181
11 8
12 101
13 58
14 3
15 1
16 2
17 66
18 52
19
[Value of determining dexamethasone in the rapid adrenal suppression test].
1

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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