David Béchard

1.4k citations
17 papers · 1.1k · h-index 11

Impact in

Papers in

    • Inflammation biomarkers and pathways 6
    • Immune Cell Function and Interaction 5
    • Immunotherapy and Immune Responses 2
    • T-cell and B-cell Immunology 2
    • CAR-T cell therapy research 5
    • Cancer Immunotherapy and Biomarkers 4

David Béchard

17 papers receiving 1.1k citations

Peers

David Béchard
Comparison fields: 5 of 75
  • Immunology 881
  • Health Information Management 50
  • Pharmacology 174
  • Surgery 423
  • Oncology 170
Replace Xiaolun Huang with:
Xiaolun Huang China
Shounan Yi Australia
Kalle Kisand Estonia
Morisada Hayakawa Japan
F. Oberhäuser Germany
Ronan Mullan Ireland
Carlo Socci Italy
Alessandra Petrelli Italy
J. S. Lewis United Kingdom
Yin Su China
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Citations per field
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Citations per year

Countries citing papers authored by David Béchard

Since Specialization
Citations

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

Fields of papers citing papers by David Béchard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2005279
2 2001210
3 2001196
4 2000159
5
Overexpression of endocan induces tumor formation.
2003118
6 201651
7 202034
8 201432
9 199918
10 199915
11 202212
12 20228
13 20202
14 20052
15 20212
16 20041
17 20201

About David Béchard

David Béchard is a scholar working on Immunology, Oncology, Surgery, Molecular Biology and Cell Biology, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Inflammation biomarkers and pathways (6 papers), CAR-T cell therapy research (5 papers), Immune Cell Function and Interaction (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Pancreatitis Pathology and Treatment (2 papers), Cancer Research and Treatments (2 papers), Immunotherapy and Immune Responses (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Immunology (881 citations), Health Information Management (50 citations), Pharmacology (174 citations), Surgery (423 citations) and Oncology (170 citations). David Béchard has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Philippe Lassalle, Arnaud Scherpereel, André‐Bernard Tonnel, Thibaut Gentina, Anne Janin, Maryse Delehedde, Malcolm Lyon, Marc Aumercier, Anne Tsicopoulos and Florence Depontieu. Their work appears in journals such as The Journal of Immunology, Journal of Vascular Research, mAbs, FEBS Letters and Journal of Biological Chemistry.

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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