R Hugonot

97 total papers · 3.4k total citations
19 papers, 67 citations indexed

About

R Hugonot is a scholar working on Surgery, General Health Professions and Pulmonary and Respiratory Medicine. According to data from OpenAlex, R Hugonot has authored 19 papers receiving a total of 67 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 5 papers in General Health Professions and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in R Hugonot's work include Aging, Elder Care, and Social Issues (4 papers), Health, Medicine and Society (2 papers) and Heparin-Induced Thrombocytopenia and Thrombosis (2 papers). R Hugonot is often cited by papers focused on Aging, Elder Care, and Social Issues (4 papers), Health, Medicine and Society (2 papers) and Heparin-Induced Thrombocytopenia and Thrombosis (2 papers). R Hugonot collaborates with scholars based in France, Belgium and Germany. R Hugonot's co-authors include Carole Pélissier, Pascal Couturier, Danielle Beaumont, D. Chiche, H Gastpar, H Laborit, R Moulias, P Giroud, Riccardo Pfister and S Delons and has published in prestigious journals such as Journal of International Medical Research, Gérontologie et société and PubMed.

In The Last Decade

R Hugonot

15 papers receiving 43 citations

Author Peers

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

Author Last Decade Papers Cites
R Hugonot 14 14 11 10 7 19 67
Karly Pippitt 23 1.6× 13 0.9× 2 0.2× 16 1.6× 13 1.9× 17 227
Kari Martin 8 0.6× 40 2.9× 19 1.7× 7 0.7× 22 3.1× 30 217
Kristin M. Junge 37 2.6× 9 0.6× 6 0.5× 4 0.4× 8 1.1× 12 214
Yuanqing Xia 44 3.1× 21 1.5× 12 1.1× 6 0.6× 27 3.9× 21 216
Vesna Barac-Latas 7 0.5× 3 0.2× 5 0.5× 25 2.5× 11 1.6× 20 215
Harry Bennett 10 0.7× 8 0.6× 6 0.5× 12 1.2× 7 1.0× 17 264
Patricia Varona Pérez 25 1.8× 15 1.1× 12 1.1× 12 1.2× 5 0.7× 16 59
Teja Munshi 43 3.1× 24 1.7× 11 1.0× 8 0.8× 25 3.6× 13 231
Rodrigo Díaz Olmos 10 0.7× 23 1.6× 13 1.2× 12 1.2× 33 4.7× 16 221
Pisirai Ndarukwa 18 1.3× 5 0.4× 7 0.6× 7 0.7× 4 0.6× 15 59

Countries citing papers authored by R Hugonot

Since Specialization
Citations

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

Fields of papers citing papers by R Hugonot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R Hugonot

This figure shows the co-authorship network connecting the top 25 collaborators of R Hugonot. A scholar is included among the top collaborators of R Hugonot 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 R Hugonot. R Hugonot 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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