V. Lapras

859 citations
22 papers · 567 · h-index 10

Impact in

Papers in

V. Lapras

22 papers receiving 555 citations

Peers

V. Lapras
Comparison fields: 5 of 46
  • Endocrinology, Diabetes and Metabolism 390
  • Epidemiology 170
  • Genetics 47
  • Hepatology 23
  • Surgery 128
Replace Junki Takamatsu with:
Junki Takamatsu Japan
Yoshihito Hara Japan
Jeffrey M. Donohoe United States
Andreas Muth Sweden
Trine Normann Norway
Francesca Torresan Italy
Jean‐Claude Bigorgne France
José Manuel Cabezas-Agrícola Spain
Paul H. Graham United States
Rita Domingues Portugal
V. Lapras relative to Junki Takamatsu Japan Junki Takamatsu's profile →
Citations per field
00.5×5×10×12.5×
Junki Takamatsu · 1×
Citations per year

Countries citing papers authored by V. Lapras

Since Specialization
Citations

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

Fields of papers citing papers by V. Lapras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000128
2 2011126
3 201755
4 201044
5 201939
6 202036
7 201931
8 200621
9 202012
10
[Excision of a parathyroid adenoma of the aorto-pulmonary window under thoracoscopy].
199611
11 200710
12 20219
13 20169
14 20178
15 20006
16 20215
17 20175
18 20204
19 20024
20 19902

About V. Lapras

V. Lapras is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Physiology, Oncology and Reproductive Medicine, having authored 22 papers that have together received 567 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (7 papers), Pituitary Gland Disorders and Treatments (6 papers), Parathyroid Disorders and Treatments (2 papers), Sarcoidosis and Beryllium Toxicity Research (2 papers), Cutaneous Melanoma Detection and Management (1 paper), Neuroendocrine Tumor Research Advances (1 paper), Thyroid and Parathyroid Surgery (1 paper) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (390 citations), Epidemiology (170 citations), Genetics (47 citations), Hepatology (23 citations) and Surgery (128 citations). V. Lapras has collaborated with scholars based in France, United States and Romania. Frequent co-authors include G. Raverot, Emmanuel Jouanneau, Françoise Borson‐Chazot, Sophie Bernard, F Berthezène, Sandrine Touzet, Philippe Moulin, Myriam Decaussin‐Petrucci, Mahmoud Messerer and Gilles Perrin. Their work appears in journals such as Cytopathology, British Journal of Dermatology, CHEST Journal, Endocrine Connections and Translational research.

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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