Marjorie Poggi

68 total papers · 8.1k total citations
29 papers, 1.2k citations indexed

About

Marjorie Poggi is a scholar working on Immunology, Epidemiology and Hematology. According to data from OpenAlex, Marjorie Poggi has authored 29 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 9 papers in Epidemiology and 9 papers in Hematology. Recurrent topics in Marjorie Poggi's work include Adipokines, Inflammation, and Metabolic Diseases (8 papers), Platelet Disorders and Treatments (8 papers) and Atherosclerosis and Cardiovascular Diseases (5 papers). Marjorie Poggi is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (8 papers), Platelet Disorders and Treatments (8 papers) and Atherosclerosis and Cardiovascular Diseases (5 papers). Marjorie Poggi collaborates with scholars based in France, Germany and Netherlands. Marjorie Poggi's co-authors include Marie‐Christine Alessi, I. Juhan‐Vague, Franck Peiretti, Monique Verdier, Delphine Bastelica, Rémy Burcelin, Jean‐François Tanti, Thierry Grémeaux, Miguel A. Iglesias and Claude Knauf and has published in prestigious journals such as Journal of Biological Chemistry, Circulation Research and Scientific Reports.

In The Last Decade

Marjorie Poggi

29 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Marjorie Poggi 484 416 367 322 113 29 1.2k
Michael J. Kraakman 542 1.1× 410 1.0× 449 1.2× 417 1.3× 144 1.3× 29 1.4k
Xavier S. Revelo 763 1.6× 300 0.7× 342 0.9× 321 1.0× 142 1.3× 33 1.3k
Birgit Mosheimer 570 1.2× 341 0.8× 495 1.3× 331 1.0× 150 1.3× 23 1.5k
Yongqian Wang 747 1.5× 579 1.4× 272 0.7× 499 1.5× 112 1.0× 33 1.5k
Christina D. Camell 412 0.9× 373 0.9× 296 0.8× 454 1.4× 124 1.1× 26 1.1k
Sabrina Bauer 687 1.4× 300 0.7× 352 1.0× 289 0.9× 173 1.5× 29 1.2k
Shaoning Jiang 274 0.6× 443 1.1× 548 1.5× 185 0.6× 73 0.6× 30 1.4k
Michelle M. Averill 279 0.6× 448 1.1× 610 1.7× 179 0.6× 152 1.3× 27 1.4k
Emilie Distel 398 0.8× 585 1.4× 480 1.3× 194 0.6× 165 1.5× 15 1.5k
Monique Verdier 553 1.1× 207 0.5× 254 0.7× 323 1.0× 124 1.1× 17 1.0k

Countries citing papers authored by Marjorie Poggi

Since Specialization
Citations

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

Fields of papers citing papers by Marjorie Poggi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marjorie Poggi

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