M J Rapp
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Hematopoietic Stem Cell Transplantation
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Glycosylation and Glycoproteins Research 3
- Protein Degradation and Inhibitors 1
-
- Multiple Myeloma Research and Treatments 5
- Co-authors
- Régis Bataille (6 shared papers)Denis Puthier (3 shared papers)Martine Amiot (3 shared papers)Catherine Pellat‐Deceunynck (3 shared papers)Nelly Robillard (3 shared papers)Jean‐Luc Harousseau (2 shared papers)Gaëtan Jégo (2 shared papers)Danielle Pineau (2 shared papers)
- Journals
- British Journal of Haematology (2 papers)Leukemia (1 paper)La Revue de Médecine Interne (1 paper)PubMed (5 papers)Cytogenetics and Cell Genetics (1 paper)
In The Last Decade
M J Rapp
10 papers receiving 429 citations
Peers
Comparison fields: 5 of 42
- Hematology 347
- Genetics 95
- Oncology 159
- Immunology and Allergy 28
- Immunology 68
Countries citing papers authored by M J Rapp
This map shows the geographic impact of M J Rapp'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 M J Rapp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M J Rapp more than expected).
Fields of papers citing papers by M J Rapp
This network shows the impact of papers produced by M J Rapp. 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 M J Rapp. The network helps show where M J Rapp may publish in the future.
Co-authors
The 25 scholars most cited alongside M J Rapp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 136 | |
| 2 | Adhesion molecules on human myeloma cells: significant changes in expression related to malignancy, tumor spreading, and immortalization. | 1995 | 118 |
| 3 | CD28, a marker associated with tumoral expansion in multiple myeloma. | 1998 | 80 |
| 4 | 1999 | 46 | |
| 5 | 1996 | 39 | |
| 6 | 13q14 deletions are not primary events in B-cell chronic lymphocytic leukemia: a study of 100 patients using fluorescence in situ hybridization. | 1996 | 10 |
| 7 | 2000 | 9 | |
| 8 | 2008 | 6 | |
| 9 | [Primary cutaneous cryptococcosis in HIV-seronegative subjects]. | 2001 | 5 |
| 10 | The effect of procarbazine on the chromosomes of normal and malignant mouse cells. | 1977 | 1 |
About M J Rapp
M J Rapp is a scholar working on Molecular Biology, Hematology, Oncology, Genetics and Cancer Research, having authored 10 papers that have together received 450 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (5 papers), Glycosylation and Glycoproteins Research (3 papers), Carcinogens and Genotoxicity Assessment (2 papers), Protein Degradation and Inhibitors (1 paper), Chemokine receptors and signaling (1 paper), Sperm and Testicular Function (1 paper), Cancer Treatment and Pharmacology (1 paper) and Fungal Infections and Studies (1 paper). The work is most often cited by research in Hematology (347 citations), Genetics (95 citations), Oncology (159 citations), Immunology and Allergy (28 citations) and Immunology (68 citations). M J Rapp has collaborated with scholars based in France, Canada and Poland. Frequent co-authors include Régis Bataille, Denis Puthier, Martine Amiot, Catherine Pellat‐Deceunynck, Nelly Robillard, Jean‐Luc Harousseau, Gaëtan Jégo, Danielle Pineau, Marie‐Paule Mellerin and Nöel Milpied. Their work appears in journals such as British Journal of Haematology, Leukemia, La Revue de Médecine Interne, PubMed and Cytogenetics and Cell Genetics.
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.