Jean‐Paul Fermand

8.0k citations
105 papers · 4.4k indexed · h-index 34

Impact in

  • Hematology top 0.5%
    • Multiple Myeloma Research and Treatments
  • Genetics top 1%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Multiple Myeloma Research and Treatments 42
    • Hematopoietic Stem Cell Transplantation 9
    • Chronic Lymphocytic Leukemia Research 15

Jean‐Paul Fermand

102 papers receiving 4.3k citations

Peers

Jean‐Paul Fermand
Comparison fields: 5 of 99
  • Hematology 1.8k
  • Genetics 890
  • Nephrology 410
  • Oncology 1.4k
  • Immunology 792
Replace Philippe Casassus with:
Philippe Casassus France
Prashant Kapoor United States
Jan‐Stephan Sanders Netherlands
Monique C. Minnema Netherlands
Peter Mollee Australia
Frank Bridoux France
Paul Browne Ireland
Maria Greenwald United States
Nicole A. Aqui United States
Michele Falda Italy
Jean‐Paul Fermand relative to Philippe Casassus France Philippe Casassus's profile →
Citations per field
00.5×1.5×1.9×
Philippe Casassus · 1×
Citations per year

Countries citing papers authored by Jean‐Paul Fermand

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Paul Fermand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20171
3 20169
4 20139
5 20131
6 201220
7 20112
8 20110
9 201096
10 200956
11 2009156
12 200981
13 200854
14 20026
15
Thalidomide et myélome : le renouveau d'un médicament décrié
20011
16 200171
17 200013
18 199920
19 199530
20 199236

About Jean‐Paul Fermand

Jean‐Paul Fermand is a scholar working on Hematology, Genetics, Nephrology, Immunology and Oncology, having authored 105 papers that have together received 4.4k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (42 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (27 papers), Chronic Lymphocytic Leukemia Research (15 papers), T-cell and B-cell Immunology (9 papers), Renal Diseases and Glomerulopathies (9 papers), Hematopoietic Stem Cell Transplantation (9 papers), Protein Degradation and Inhibitors (8 papers) and Immunodeficiency and Autoimmune Disorders (8 papers). The work is most often cited by research in Hematology (1.8k citations), Genetics (890 citations), Nephrology (410 citations), Oncology (1.4k citations) and Immunology (792 citations). Jean‐Paul Fermand has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Jean‐Claude Brouet, Bruno Royer, Véronique Leblond, Arnaud Jaccard, Sylvie Chevret, Frank Bridoux, Philippe Ravaud, Bertrand Arnulf, Marine Diviné and Margaret Macro. Their work appears in journals such as Blood, Journal of the American Academy of Dermatology, Medicine, Kidney International and British Journal of Haematology.

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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