M J Rapp

616 total citations
10 papers, 459 citations indexed

About

M J Rapp is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, M J Rapp has authored 10 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Hematology and 4 papers in Oncology. Recurrent topics in M J Rapp's work include Multiple Myeloma Research and Treatments (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Carcinogens and Genotoxicity Assessment (2 papers). M J Rapp is often cited by papers focused on Multiple Myeloma Research and Treatments (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Carcinogens and Genotoxicity Assessment (2 papers). M J Rapp collaborates with scholars based in Canada, France and Poland. M J Rapp's 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 and has published in prestigious journals such as British Journal of Haematology, Leukemia and Cytogenetic and Genome Research.

In The Last Decade

M J Rapp

10 papers receiving 435 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M J Rapp Canada 8 361 202 188 115 77 10 459
PH Sorensen Canada 6 335 0.9× 255 1.3× 73 0.4× 61 0.5× 75 1.0× 7 556
Belinda Pope Australia 12 392 1.1× 238 1.2× 259 1.4× 100 0.9× 368 4.8× 19 692
Maged S. Mahmoud Japan 10 200 0.6× 160 0.8× 130 0.7× 53 0.5× 134 1.7× 14 368
AR Belch Canada 8 272 0.8× 207 1.0× 110 0.6× 53 0.5× 122 1.6× 12 425
Nisha Shah United States 13 174 0.5× 230 1.1× 143 0.8× 51 0.4× 207 2.7× 18 503
Doug Joshua Australia 9 321 0.9× 201 1.0× 224 1.2× 56 0.5× 324 4.2× 14 558
Naozo Nakazawa Japan 8 230 0.6× 238 1.2× 94 0.5× 89 0.8× 44 0.6× 11 361
H Hoogerbrugge Netherlands 10 225 0.6× 109 0.5× 114 0.6× 85 0.7× 263 3.4× 12 488
Silvano Battaglio Italy 15 417 1.2× 253 1.3× 179 1.0× 75 0.7× 320 4.2× 29 626

Countries citing papers authored by M J Rapp

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of M J Rapp

This figure shows the co-authorship network connecting the top 25 collaborators of M J Rapp. A scholar is included among the top collaborators of M J Rapp based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M J Rapp. M J Rapp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Quéreux, G., B. Milpied, Odile Morin, et al.. (2001). [Primary cutaneous cryptococcosis in HIV-seronegative subjects].. PubMed. 128(10 Pt 1). 1009–13. 5 indexed citations
2.
Vigouroux, Sarah Le, et al.. (2000). Infections à dans les hémopathies malignes. La Revue de Médecine Interne. 21(11). 955–960. 9 indexed citations
3.
Grosbois, B., P. Jégo, Michel Attal, et al.. (1999). Familial multiple myeloma: report of fifteen families. British Journal of Haematology. 105(3). 768–770. 46 indexed citations
4.
Robillard, Nelly, Gaëtan Jégo, Catherine Pellat‐Deceunynck, et al.. (1998). CD28, a marker associated with tumoral expansion in multiple myeloma.. PubMed. 4(6). 1521–6. 80 indexed citations
5.
Pellat‐Deceunynck, Catherine, Gaëtan Jégo, Denis Puthier, et al.. (1998). The absence of CD56 (NCAM) on malignant plasma cells is a hallmark of plasma cell leukemia and of a special subset of multiple myeloma. Leukemia. 12(12). 1977–1982. 136 indexed citations
6.
Mahé, Beatrice, Nöel Milpied, Sylvie Hermouet, et al.. (1996). G‐CSF alone mobilizes sufficient peripheral blood CD34+ cells for positive selection in newly diagnosed patients with myeloma and lymphoma. British Journal of Haematology. 92(2). 263–268. 39 indexed citations
7.
Avet‐Loiseau, Hervé, Richard Garand, M J Rapp, et al.. (1996). 13q14 deletions are not primary events in B-cell chronic lymphocytic leukemia: a study of 100 patients using fluorescence in situ hybridization.. PubMed. 2(10). 1673–7. 10 indexed citations
8.
Pellat‐Deceunynck, Catherine, Denis Puthier, M J Rapp, et al.. (1995). Adhesion molecules on human myeloma cells: significant changes in expression related to malignancy, tumor spreading, and immortalization.. PubMed. 55(16). 3647–53. 118 indexed citations
9.
Rapp, M J & Eeva Therman. (1977). The effect of procarbazine on the chromosomes of normal and malignant mouse cells.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 20(4). 249–54. 1 indexed citations
10.
Rapp, M J, Eeva Therman, & Carter Denniston. (1977). Nonpairing of the X and Y chromosomes in the spermatocytes of BDF<sub>1</sub> mice. Cytogenetic and Genome Research. 19(2-3). 85–93. 15 indexed citations

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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