Éric Legac

771 citations
25 papers · 521 · h-index 11

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Immune Cell Function and Interaction 4
    • T-cell and B-cell Immunology 2
    • Reproductive System and Pregnancy 2
    • Parvovirus B19 Infection Studies 3

Éric Legac

24 papers receiving 512 citations

Peers

Éric Legac
Comparison fields: 5 of 62
  • Virology 172
  • Immunology 216
  • Genetics 74
  • Infectious Diseases 114
  • Dermatology 53
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Citations per field
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Citations per year

Countries citing papers authored by Éric Legac

Since Specialization
Citations

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

Fields of papers citing papers by Éric Legac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013156
2 199278
3 199573
4 199347
5 199534
6 199627
7 199116
8 201813
9
T lymphocyte subsets in primary antiphospholipid syndrome.
199413
10
Expansion of CD4+CD7- T helper cells with a TH0-TH2 function in kidney transplant recipients.
199513
11 200610
12 20126
13
Identification of T-like and B-like lymphocyte subsets in sea star Asterias rubens by monoclonal antibodies to human leukocytes.
19935
14 20114
15 19924
16
[Vascular purpura in a patient with severe sarcoptic acariasis].
20014
17 20153
18 20033
19 19883
20
[Deep vein thrombosis and pulmonary embolism in a patient with aphtosis treated with thalidomide].
20013

About Éric Legac

Éric Legac is a scholar working on Immunology, Infectious Diseases, Genetics, Virology and Molecular Biology, having authored 25 papers that have together received 521 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), HIV Research and Treatment (4 papers), Parvovirus B19 Infection Studies (3 papers), Lymphoma Diagnosis and Treatment (3 papers), T-cell and B-cell Immunology (2 papers), Reproductive System and Pregnancy (2 papers) and Hematological disorders and diagnostics (2 papers). The work is most often cited by research in Virology (172 citations), Immunology (216 citations), Genetics (74 citations), Infectious Diseases (114 citations) and Dermatology (53 citations). Éric Legac has collaborated with scholars based in France, United States and Vietnam. Frequent co-authors include Patrice Debré, Brigitte Autran, Hélène Merle‐Béral, Charlotte Blanc, Laurent Hocqueloux, Christine Katlama, Thiérry Prazuck, G. Le Moal, Jean‐Paul Viard and Christine Rouzioux. Their work appears in journals such as Blood, The Journal of Immunology, AIDS, Journal of Antimicrobial Chemotherapy and Journal of the American Academy of Dermatology.

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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