M.-C. Picot

44 total papers · 502 total citations
22 papers, 343 citations indexed

About

M.-C. Picot is a scholar working on Surgery, Epidemiology and Cognitive Neuroscience. According to data from OpenAlex, M.-C. Picot has authored 22 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 4 papers in Epidemiology and 3 papers in Cognitive Neuroscience. Recurrent topics in M.-C. Picot's work include Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Bone and Joint Diseases (2 papers) and Bone health and osteoporosis research (2 papers). M.-C. Picot is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Bone and Joint Diseases (2 papers) and Bone health and osteoporosis research (2 papers). M.-C. Picot collaborates with scholars based in France and Switzerland. M.-C. Picot's co-authors include F. Favier, Christian Marcelli, Audrey Jaussent, P.O. Kotzki, C. Préfaut, L Simón, Jacques Mercier, J.‐F. Brun, Sylvain Bordenave and Stéphane Guétin and has published in prestigious journals such as Human Reproduction, Osteoporosis International and Hormone and Metabolic Research.

In The Last Decade

M.-C. Picot

19 papers receiving 329 citations

Author Peers

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

Author Last Decade Papers Cites
M.-C. Picot 73 70 53 41 38 22 343
Zafer Günendi 47 0.6× 73 1.0× 32 0.6× 13 0.3× 20 0.5× 54 380
Kil-Byung Lim 37 0.5× 134 1.9× 26 0.5× 17 0.4× 20 0.5× 36 386
Colin W. Bond 53 0.7× 42 0.6× 14 0.3× 14 0.3× 42 1.1× 23 359
Kesava Kovanur Sampath 38 0.5× 45 0.6× 12 0.2× 62 1.5× 30 0.8× 37 338
Mao‐Hsiung Huang 21 0.3× 98 1.4× 21 0.4× 12 0.3× 40 1.1× 21 336
Stefania Penkala 35 0.5× 64 0.9× 21 0.4× 11 0.3× 13 0.3× 25 355
Jian‐Wei Huo 121 1.7× 34 0.5× 14 0.3× 36 0.9× 11 0.3× 25 342
Jamie Burgess 29 0.4× 122 1.7× 16 0.3× 24 0.6× 44 1.2× 28 299
Jeffrey J. Parr 43 0.6× 91 1.3× 13 0.2× 23 0.6× 22 0.6× 23 370
Jakkrit Klaphajone 61 0.8× 45 0.6× 80 1.5× 7 0.2× 14 0.4× 23 330

Countries citing papers authored by M.-C. Picot

Since Specialization
Citations

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

Fields of papers citing papers by M.-C. Picot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.-C. Picot. 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 M.-C. Picot. The network helps show where M.-C. Picot may publish in the future.

Co-authorship network of co-authors of M.-C. Picot

This figure shows the co-authorship network connecting the top 25 collaborators of M.-C. Picot. A scholar is included among the top collaborators of M.-C. Picot 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 M.-C. Picot. M.-C. Picot 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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