M. Rapp

1.4k citations
29 papers · 1.2k indexed · h-index 14

Impact in

  • Hematology top 1%
    • Multiple Myeloma Research and Treatments
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research

Papers in

M. Rapp

28 papers receiving 1.1k citations

Peers

M. Rapp
Comparison fields: 5 of 81
  • Hematology 637
  • Genetics 195
  • Oncology 415
  • Molecular Biology 695
  • Cancer Research 141
Replace Y Frutiger with:
Y Frutiger United States
Yoko Ueno Japan
Chester A. Metcalf United States
Ton van Agthoven Netherlands
Marcus M. Schittenhelm Germany
Phong Quang United States
Luc Van Rompaey Belgium
Yi Hua Qiu United States
Clara Guerzoni Italy
Peter Bross United States
M. Rapp relative to Y Frutiger United States Y Frutiger's profile →
Citations per field
00.5×1.5×2.1×
Y Frutiger · 1×
Citations per year

Countries citing papers authored by M. Rapp

Since Specialization
Citations

This map shows the geographic impact of M. 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. 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. Rapp more than expected).

Fields of papers citing papers by M. Rapp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200315
2 2003130
3 2002353
4
High incidence of translocations t(11;14)(q13;q32) and t(4;14)(p16;q32) in patients with plasma cell malignancies.
1998150
5 19972
6 19974
7 19976
8
Disposition and metabolism of 2,6-dimethylbenzamide N-(5-methyl-3-isoxazolyl) (D2916) in male and female rats.
199714
9 1997156
10 199718
11
An interleukin 1 receptor antagonist blocks the IL-1-induced IL-6 paracrine production through a prostaglandin E2-related mechanism in multiple myeloma.
199528
12 199427
13 199410
14 19943
15 19931
16 199315
17 199313
18 19931
19 19923
20 19923

About M. Rapp

M. Rapp is a scholar working on Hematology, Pharmaceutical Science, Genetics, Clinical Biochemistry and Pharmacology, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (8 papers), Cancer therapeutics and mechanisms (4 papers), DNA Repair Mechanisms (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Peptidase Inhibition and Analysis (3 papers), Glycosylation and Glycoproteins Research (2 papers), Metabolism and Genetic Disorders (2 papers) and Fluorine in Organic Chemistry (2 papers). The work is most often cited by research in Hematology (637 citations), Genetics (195 citations), Oncology (415 citations), Molecular Biology (695 citations) and Cancer Research (141 citations). M. Rapp has collaborated with scholars based in France, Tunisia and Germany. Frequent co-authors include Régis Bataille, Jean‐Luc Harousseau, Martine Amiot, Hervé Avet‐Loiseau, Jennifer K. Taylor, Brett P. Monia, Sophie Derenne, Nicholas M. Dean, Thierry Façon and Marie‐Paule Mellerin. Their work appears in journals such as Blood, Xenobiotica, Drug Metabolism and Disposition, European Journal of Medicinal Chemistry and Journal of Pharmacology and Experimental Therapeutics.

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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