Margot Revel

35 total papers · 767 total citations
14 papers, 412 citations indexed

About

Margot Revel is a scholar working on Immunology, Hematology and Molecular Biology. According to data from OpenAlex, Margot Revel has authored 14 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 5 papers in Hematology and 4 papers in Molecular Biology. Recurrent topics in Margot Revel's work include Complement system in diseases (8 papers), Erythrocyte Function and Pathophysiology (3 papers) and Blood groups and transfusion (3 papers). Margot Revel is often cited by papers focused on Complement system in diseases (8 papers), Erythrocyte Function and Pathophysiology (3 papers) and Blood groups and transfusion (3 papers). Margot Revel collaborates with scholars based in France, Denmark and Bulgaria. Margot Revel's co-authors include Lubka T. Roumenina, Catherine Sautès‐Fridman, Wolf H. Fridman, J Wietzerbin, J Sancéau, John Wijdenes, Anne Grünenwald, Marie V. Daugan, G.R. Andersen and Dennis Pedersen and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Immunological Reviews.

In The Last Decade

Margot Revel

13 papers receiving 405 citations

Author Peers

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

Author						Papers	Cites
Margot Revel	255	121	78	58	42	14	412
Xiwen Dong	134 0.5×	181 1.5×	106 1.4×	29 0.5×	28 0.7×	19	460
Ana Serra‐Caetano	235 0.9×	143 1.2×	51 0.7×	63 1.1×	30 0.7×	13	475
Smriti Chaurasia	157 0.6×	154 1.3×	39 0.5×	37 0.6×	69 1.6×	20	413
P Billing	247 1.0×	137 1.1×	59 0.8×	59 1.0×	40 1.0×	8	448
Tainá Gomes	267 1.0×	221 1.8×	69 0.9×	45 0.8×	37 0.9×	13	485
Maxine Melchior	221 0.9×	168 1.4×	101 1.3×	39 0.7×	122 2.9×	13	493
Giovanni A. M. Povoleri	370 1.5×	91 0.8×	57 0.7×	59 1.0×	19 0.5×	11	488
Christophe Arnoult	199 0.8×	137 1.1×	70 0.9×	52 0.9×	24 0.6×	15	414
John Higgins	253 1.0×	204 1.7×	100 1.3×	70 1.2×	20 0.5×	18	469
Marika Pla	127 0.5×	183 1.5×	64 0.8×	48 0.8×	18 0.4×	15	374

Countries citing papers authored by Margot Revel

Since Specialization

Citations

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

Fields of papers citing papers by Margot Revel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margot Revel

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