Claude Clément

602 citations
8 papers · 522 · h-index 8

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
  • Oncology top 10%
    • Cytokine Signaling Pathways and Interactions

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Glycosylation and Glycoproteins Research 1
    • Angiogenesis and VEGF in Cancer 1
    • Cytokine Signaling Pathways and Interactions 3
    • HER2/EGFR in Cancer Research 2

Claude Clément

8 papers receiving 512 citations

Peers

Claude Clément
Comparison fields: 5 of 58
  • Hematology 159
  • Oncology 228
  • Immunology 146
  • Immunology and Allergy 37
  • Cell Biology 88
Replace Petranel T. Ferrão with:
Petranel T. Ferrão Australia
Harmen van Andel Netherlands
Choong Chin Liew United States
Melinda S. Gordon United States
Srimathi Srinivasan United States
Siamak Jabbarzadeh‐Tabrizi Japan
A Kuriu Japan
Paola Sterpetti Italy
Linda W. Horton United States
Fred Elfman United States
Claude Clément relative to Petranel T. Ferrão Australia Petranel T. Ferrão's profile →
Citations per field
00.5×1.6×
Petranel T. Ferrão · 1×
Citations per year

Countries citing papers authored by Claude Clément

Since Specialization
Citations

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

Fields of papers citing papers by Claude Clément

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 1996300
2 199579
3 199139
4 201738
5 199634
6 200314
7 199511
8 19957

About Claude Clément

Claude Clément is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Immunology and Surgery, having authored 8 papers that have together received 522 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), HER2/EGFR in Cancer Research (2 papers), Glycosylation and Glycoproteins Research (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Angiogenesis and VEGF in Cancer (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Hematology (159 citations), Oncology (228 citations), Immunology (146 citations), Immunology and Allergy (37 citations) and Cell Biology (88 citations). Claude Clément has collaborated with scholars based in France, Germany and Netherlands. Frequent co-authors include John Wijdenes, Natalio Vita, Jean‐Michel Dore, Bernard Klein, Ren-Xiao Sun, Patrick Laurent, Jacob Post, Bernard Klein, Catherine Roche‐Lestienne and Gerhard Müller‐Newen. Their work appears in journals such as Cytokine, European Journal of Immunology, Annals of the New York Academy of Sciences, Journal of Immunological Methods and Circulation 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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