Jean‐Daniel Malcor

895 citations
28 papers · 691 · h-index 16

Impact in

  • Hematology top 5%
    • Platelet Disorders and Treatments
    • Blood Coagulation and Thrombosis Mechanisms
  • Biomaterials top 10%
    • Collagen: Extraction and Characterization

Papers in

Jean‐Daniel Malcor

27 papers receiving 686 citations

Peers

Jean‐Daniel Malcor
Comparison fields: 5 of 92
  • Hematology 198
  • Biomaterials 166
  • Internal Medicine 41
  • Immunology and Allergy 50
  • Genetics 68
Replace Sergei Merkulov with:
Sergei Merkulov United States
Abdullah O. Khan United Kingdom
S. M. Strukova Russia
Michael Dobryansky United States
Ronald Carnemolla United States
Darwin Eton United States
Christine Choqueux France
Alessandro Malara Italy
Li-Jing Chen Taiwan
Toin van Kuppevelt Netherlands
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Citations per field
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Sergei Merkulov · 1×
Citations per year

Countries citing papers authored by Jean‐Daniel Malcor

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Daniel Malcor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Daniel Malcor. 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 Jean‐Daniel Malcor. The network helps show where Jean‐Daniel Malcor may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201783
2 201271
3 201869
4 201854
5 202052
6 201644
7 202242
8 201537
9 201736
10 201833
11 202218
12 201818
13 201617
14 201617
15 202017
16 201816
17 202014
18 202113
19 201810
20 20208

About Jean‐Daniel Malcor

Jean‐Daniel Malcor is a scholar working on Hematology, Biomaterials, Immunology and Allergy, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 28 papers that have together received 691 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (8 papers), Platelet Disorders and Treatments (8 papers), Collagen: Extraction and Characterization (7 papers), Antiplatelet Therapy and Cardiovascular Diseases (6 papers), Osteoarthritis Treatment and Mechanisms (3 papers), Chemical Synthesis and Analysis (3 papers), Bone Tissue Engineering Materials (3 papers) and Protease and Inhibitor Mechanisms (3 papers). The work is most often cited by research in Hematology (198 citations), Biomaterials (166 citations), Internal Medicine (41 citations), Immunology and Allergy (50 citations) and Genetics (68 citations). Jean‐Daniel Malcor has collaborated with scholars based in United Kingdom, France and Norway. Frequent co-authors include Richard W. Farndale, Matthew T. Harper, Hao Wei, Frédéric Mallein‐Gérin, Samir W. Hamaia, Serena M. Best, Ruth E. Cameron, Stéphanie Jung, Natalia Davidenko and Isuru Induruwa. Their work appears in journals such as Scientific Reports, Biomaterials, Acta Biomaterialia, Journal of Thrombosis and Haemostasis and Metallomics.

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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