Éric Selva

3.1k citations
42 papers · 2.1k · h-index 23

Impact in

    • Cancer Genomics and Diagnostics
  • Oncology top 2%
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies

Papers in

Éric Selva

41 papers receiving 2.0k citations

Peers

Éric Selva
Comparison fields: 5 of 101
  • Cancer Research 762
  • Oncology 1.0k
  • Pulmonary and Respiratory Medicine 487
  • Immunology and Allergy 69
  • Immunology 221
Replace Ling Fu with:
Ling Fu China
Andreas G. Niethammer United States
Hanifa Bouzourène Switzerland
Pauline Funchain United States
Chrysalyne D. Schmults United States
Shih–Fan Kuan United States
Yi‐Chen Yeh Taiwan
Jonathan M. Pitt France
Bruce Ng United States
Takatsugu Okegawa Japan
Éric Selva relative to Ling Fu China Ling Fu's profile →
Citations per field
00.5×3.6×
Ling Fu · 1×
Citations per year

Countries citing papers authored by Éric Selva

Since Specialization
Citations

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

Fields of papers citing papers by Éric Selva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014297
2 2010253
3 2010250
4 2017153
5 2014147
6 201183
7 201172
8 200859
9 200953
10 201453
11 201449
12 201447
13 201346
14 200043
15 200939
16 199139
17 199837
18 201635
19 201735
20 200032

About Éric Selva

Éric Selva is a scholar working on Oncology, Infectious Diseases, Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 42 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (11 papers), Cancer Genomics and Diagnostics (7 papers), Ethics in Clinical Research (4 papers), Biomedical Ethics and Regulation (3 papers), Escherichia coli research studies (3 papers), Immune Response and Inflammation (3 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Tuberculosis Research and Epidemiology (3 papers). The work is most often cited by research in Cancer Research (762 citations), Oncology (1.0k citations), Pulmonary and Respiratory Medicine (487 citations), Immunology and Allergy (69 citations) and Immunology (221 citations). Éric Selva has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Paul Hofman, Véronique Hofman, Marius Ilié, Élodie Long-Mira, Jérôme Mouroux, Charles‐Hugo Marquette, Nicolas Vénissac, Christelle Bonnetaud, Catherine Butori and Philippe Vielh. Their work appears in journals such as Infection and Immunity, British Journal of Cancer, Cancer Medicine, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin and The FASEB Journal.

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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