Fabienne Proamer

940 citations
26 papers · 711 · h-index 14

Impact in

  • Hematology top 5%
    • Platelet Disorders and Treatments
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

Fabienne Proamer

25 papers receiving 706 citations

Peers

Fabienne Proamer
Comparison fields: 5 of 98
  • Hematology 200
  • Immunology 222
  • Structural Biology 8
  • Immunology and Allergy 28
  • Cell Biology 79
Replace Maria A. Brehm with:
Maria A. Brehm Germany
Anita J. Horvath Australia
Carsten Berges Germany
Benjamin Chaigne-Delalande United States
Philip H. Johnson United Kingdom
Maya C. André Germany
Françoise Durrieu France
Kine Marita Knudsen Sand Norway
Kristen Picha United States
I. von Zabern Germany
Fabienne Proamer relative to Maria A. Brehm Germany Maria A. Brehm's profile →
Citations per field
00.5×1.5×2.1×
Maria A. Brehm · 1×
Citations per year

Countries citing papers authored by Fabienne Proamer

Since Specialization
Citations

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

Fields of papers citing papers by Fabienne Proamer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fabienne Proamer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fabienne Proamer Line = papers co-authored together Fabienne Proamer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201396
2 200562
3 201359
4 201656
5 201556
6 200151
7 200250
8 201343
9 202037
10 200432
11 200731
12 201523
13 200816
14 200016
15 201313
16 202112
17 202210
18 20249
19 20189
20 20208

About Fabienne Proamer

Fabienne Proamer is a scholar working on Cell Biology, Molecular Biology, Immunology, Hematology and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 711 indexed citations. Recurring topics across this work include Cellular transport and secretion (6 papers), Platelet Disorders and Treatments (6 papers), Immunotherapy and Immune Responses (6 papers), Blood properties and coagulation (4 papers), Caveolin-1 and cellular processes (3 papers), T-cell and B-cell Immunology (2 papers), Nanoparticles: synthesis and applications (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Hematology (200 citations), Immunology (222 citations), Structural Biology (8 citations), Immunology and Allergy (28 citations) and Cell Biology (79 citations). Fabienne Proamer has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Anita Eckly, Christian Gachet, Daniel Hanau, Jean‐Yves Rinckel, Henri de la Salle, Jean Salamero, Jean‐Pierre Cazenave, Catherine Léon, Bruno Goud and François Lanza. Their work appears in journals such as PLoS ONE, Blood, Journal of Investigative Dermatology, Traffic and Nature Communications.

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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