V. Lapras

50 total papers · 819 total citations
22 papers, 522 citations indexed

About

V. Lapras is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Epidemiology. According to data from OpenAlex, V. Lapras has authored 22 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Surgery and 5 papers in Epidemiology. Recurrent topics in V. Lapras's work include Thyroid Cancer Diagnosis and Treatment (7 papers), Pituitary Gland Disorders and Treatments (7 papers) and Adrenal and Paraganglionic Tumors (4 papers). V. Lapras is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (7 papers), Pituitary Gland Disorders and Treatments (7 papers) and Adrenal and Paraganglionic Tumors (4 papers). V. Lapras collaborates with scholars based in France, Romania and Lebanon. V. Lapras's co-authors include Gérald Raverot, Emmanuel Jouanneau, Françoise Borson‐Chazot, F Berthezène, Sandrine Touzet, Philippe Moulin, Sophie Bernard, Julie Dubourg, Jacqueline Trouillas and Gilles Perrin and has published in prestigious journals such as CHEST Journal, Diabetologia and British Journal of Dermatology.

In The Last Decade

V. Lapras

22 papers receiving 512 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
V. Lapras	377	258	220	78	55	22	522
Mari C. Vázquez‐Borrego	327 0.9×	215 0.8×	111 0.5×	73 0.9×	161 2.9×	27	525
S. Deveci	249 0.7×	302 1.2×	71 0.3×	19 0.2×	111 2.0×	17	480
Toshiaki Sano	153 0.4×	92 0.4×	127 0.6×	50 0.6×	66 1.2×	16	516
Ioanna Tzavara	342 0.9×	127 0.5×	182 0.8×	17 0.2×	25 0.5×	16	455
Pamela Schroeder	314 0.8×	45 0.2×	221 1.0×	64 0.8×	19 0.3×	21	514
Takao Kuroki	297 0.8×	84 0.3×	168 0.8×	162 2.1×	135 2.5×	25	519
Adam Levene	129 0.3×	334 1.3×	109 0.5×	26 0.3×	137 2.5×	19	593
Szabolcs Szakáll	125 0.3×	134 0.5×	135 0.6×	20 0.3×	95 1.7×	35	517
Yaqi Yin	71 0.2×	93 0.4×	172 0.8×	182 2.3×	143 2.6×	22	472
Jing Zhang	98 0.3×	178 0.7×	80 0.4×	31 0.4×	122 2.2×	21	505

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-authorship network of co-authors of V. Lapras

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

All Works

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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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