Agnès Hémar

1.9k citations
31 papers · 1.6k indexed · h-index 19

Impact in

Papers in

Agnès Hémar

30 papers receiving 1.6k citations

Peers

Agnès Hémar
Comparison fields: 5 of 98
  • Cellular and Molecular Neuroscience 550
  • Cell Biology 317
  • Immunology 357
  • Molecular Biology 928
  • Behavioral Neuroscience 39
Replace Keisuke Kuroda with:
Keisuke Kuroda Japan
Patricia Menzel United States
Daniel Luk United States
Gerald J. Jonak United States
Dinesh C. Soares United Kingdom
M R Lerner United States
Richard W. Burry United States
Lily Vardimon Israel
Kathryn Bobb United States
Carles Serra‐Pages Spain
Agnès Hémar relative to Keisuke Kuroda Japan Keisuke Kuroda's profile →
Citations per field
00.5×3.3×
Keisuke Kuroda · 1×
Citations per year

Countries citing papers authored by Agnès Hémar

Since Specialization
Citations

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

Fields of papers citing papers by Agnès Hémar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Agnès Hémar, 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 Agnès Hémar Line = papers co-authored together Agnès Hémar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20114
2 201030
3 200816
4 200721
5 200756
6 20071
7 20060
8 20061
9 200525
10 2004172
11 2003115
12 200386
13 19965
14
Down-regulation of interleukin-2 receptors beta and gamma chains in human T lymphocytes.
19951
15 199566
16 199521
17 1995171
18 199422
19 199014
20 199031

About Agnès Hémar

Agnès Hémar is a scholar working on Behavioral Neuroscience, Immunology, Cellular and Molecular Neuroscience, Physiology and Cell Biology, having authored 31 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (9 papers), Neuroscience and Neuropharmacology Research (8 papers), Cellular transport and secretion (7 papers), Immune Response and Inflammation (5 papers), Immune Cell Function and Interaction (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), T-cell and Retrovirus Studies (3 papers) and Alzheimer's disease research and treatments (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (550 citations), Cell Biology (317 citations), Immunology (357 citations), Molecular Biology (928 citations) and Behavioral Neuroscience (39 citations). Agnès Hémar has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Alice Dautry‐Varsat, Lawrence Fourgeaud, Agathe Subtil, Olivier J. Manzoni, Arnauld Sergé, Daniel Choquet, Michèle Lieb, Raymond Hellio, Paul Worley and Emmanuel Morélon. Their work appears in journals such as Journal of Neuroscience, Journal of Biological Chemistry, The Journal of Immunology, Journal of Cell Science and European Journal of Immunology.

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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