A.-M. Stoppa

1.4k citations
22 papers · 967 · h-index 14

Impact in

  • Hematology top 2%
    • Multiple Myeloma Research and Treatments
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Oncology top 5%
    • Viral-associated cancers and disorders
    • Polyomavirus and related diseases

Papers in

    • Hematopoietic Stem Cell Transplantation 8
    • Multiple Myeloma Research and Treatments 7
    • Acute Myeloid Leukemia Research 5
    • Cancer Treatment and Pharmacology 4

A.-M. Stoppa

22 papers receiving 941 citations

Peers

A.-M. Stoppa
Comparison fields: 5 of 46
  • Hematology 508
  • Oncology 440
  • Transplantation 33
  • Pathology and Forensic Medicine 203
  • Genetics 116
Replace Neil Kogut with:
Neil Kogut United States
J. L. Harousseau France
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YL Kwong China
A.-M. Stoppa relative to Neil Kogut United States Neil Kogut's profile →
Citations per field
00.5×1.6×
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Citations per year

Countries citing papers authored by A.-M. Stoppa

Since Specialization
Citations

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

Fields of papers citing papers by A.-M. Stoppa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.-M. Stoppa. 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 A.-M. Stoppa. The network helps show where A.-M. Stoppa may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000285
2 200499
3 198993
4 200579
5 201472
6 200457
7 199842
8 199737
9 201135
10 201034
11 200533
12 199829
13 199123
14 201714
15 199111
16 20236
17 20016
18 20234
19 19923
20 20072

About A.-M. Stoppa

A.-M. Stoppa is a scholar working on Hematology, Oncology, Molecular Biology, Genetics and Pathology and Forensic Medicine, having authored 22 papers that have together received 967 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (8 papers), Multiple Myeloma Research and Treatments (7 papers), Acute Myeloid Leukemia Research (5 papers), Cancer Treatment and Pharmacology (4 papers), Acute Lymphoblastic Leukemia research (3 papers), Immunotherapy and Immune Responses (3 papers), Lymphoma Diagnosis and Treatment (3 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers). The work is most often cited by research in Hematology (508 citations), Oncology (440 citations), Transplantation (33 citations), Pathology and Forensic Medicine (203 citations) and Genetics (116 citations). A.-M. Stoppa has collaborated with scholars based in France, Canada and United Kingdom. Frequent co-authors include Catherine Faucher, Didier Blaise, Mohamad Mohty, Norbert Vey, D Maraninchi, J.A. Gastaut, Nöel Milpied, A. Mathieu-Boué, B. Vasseur and Didier Bouscary. Their work appears in journals such as Bone Marrow Transplantation, Annals of Oncology, Journal of Clinical Oncology, Transplant International and Leukemia.

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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