Philippe Rodon

2.9k citations
29 papers · 698 · h-index 9

Impact in

  • Hematology top 2%
    • Multiple Myeloma Research and Treatments
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Multiple Myeloma Research and Treatments 17
    • Cancer Treatment and Pharmacology 10
    • Vascular Tumors and Angiosarcomas 2

Philippe Rodon

28 papers receiving 685 citations

Peers

Philippe Rodon
Comparison fields: 5 of 62
  • Hematology 483
  • Genetics 150
  • Oncology 356
  • Molecular Biology 433
  • Pathology and Forensic Medicine 83
Replace M Schaafsma with:
M Schaafsma Netherlands
José J. Pérez Spain
Eros Di Bona Italy
Sascha A. Tuchman United States
Adriana Rossi United States
Yeo‐Kyeoung Kim South Korea
Mario Annunziata Italy
Pascal Lenain France
Zandra Klippel United States
Howard R. Terebelo United States
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Citations per field
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M Schaafsma · 1×
Citations per year

Countries citing papers authored by Philippe Rodon

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Rodon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009266
2 2006148
3 200854
4 200739
5 201136
6 200330
7 200129
8 200715
9
Temporal artery involvement revealing AL amyloidosis and IgD monoclonal gammopathy.
199612
10 20078
11 19898
12 20177
13 20087
14 20085
15 20125
16 20165
17 20163
18 20103
19 20123
20 20143

About Philippe Rodon

Philippe Rodon is a scholar working on Hematology, Oncology, Molecular Biology, Pathology and Forensic Medicine and Genetics, having authored 29 papers that have together received 698 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (17 papers), Cancer Treatment and Pharmacology (10 papers), Lymphoma Diagnosis and Treatment (5 papers), Protein Degradation and Inhibitors (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Cancer therapeutics and mechanisms (3 papers), Vascular Tumors and Angiosarcomas (2 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers). The work is most often cited by research in Hematology (483 citations), Genetics (150 citations), Oncology (356 citations), Molecular Biology (433 citations) and Pathology and Forensic Medicine (83 citations). Philippe Rodon has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Thierry Façon, B. Grosbois, Brigitte Pegourié, Jean‐Luc Harousseau, Lotfi Benboubker, Philippe Moreau, Chantal Doyen, Laurent Garderet, Olivier Decaux and Claire Mathiot. Their work appears in journals such as Blood, Journal of Clinical Oncology, European Journal Of Haematology, Medicine and European Journal of Internal Medicine.

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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