M-C Béné

587 citations
9 papers · 223 · h-index 5

Impact in

Papers in

M-C Béné

8 papers receiving 214 citations

Peers

M-C Béné
Comparison fields: 5 of 40
  • Hematology 152
  • Public Health, Environmental and Occupational Health 146
  • Genetics 27
  • Pediatrics, Perinatology and Child Health 40
  • Pathology and Forensic Medicine 31
Replace Wolf Dieter Ludwig with:
Wolf Dieter Ludwig Germany
Maria Grazia Cocito Italy
A von Stackelberg Germany
A Chauvenet United States
Tiziana Coliva Italy
Marieke E. Willemse Netherlands
M.-P. Pagès France
Phyllis Warkentin United States
Shinsuke Hirabayashi Japan
Kirsten Bleckmann Germany
M-C Béné relative to Wolf Dieter Ludwig Germany Wolf Dieter Ludwig's profile →
Citations per field
00.5×
Wolf Dieter Ludwig · 1×
Citations per year

Countries citing papers authored by M-C Béné

Since Specialization
Citations

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

Fields of papers citing papers by M-C Béné

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 199486
2 199470
3 199843
4 200211
5 19895
6 19924
7
[Polyclonal T lymphocyte proliferation in drug lymphocyte activation test].
20003
8
Indolent lymphoproliferative disease of large granular lymphocytes after lung transplantation.
19991
9 20020

About M-C Béné

M-C Béné is a scholar working on Oncology, Public Health, Environmental and Occupational Health, Molecular Biology, Reproductive Medicine and Nephrology, having authored 9 papers that have together received 223 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (3 papers), Molecular Biology Techniques and Applications (2 papers), Lung Cancer Research Studies (2 papers), Renal Diseases and Glomerulopathies (1 paper), Gyrotron and Vacuum Electronics Research (1 paper), Acute Myeloid Leukemia Research (1 paper), Polyomavirus and related diseases (1 paper) and Viral-associated cancers and disorders (1 paper). The work is most often cited by research in Hematology (152 citations), Public Health, Environmental and Occupational Health (146 citations), Genetics (27 citations), Pediatrics, Perinatology and Child Health (40 citations) and Pathology and Forensic Medicine (31 citations). M-C Béné has collaborated with scholars based in France, Germany and United Kingdom. Frequent co-authors include Lydia Campos, Éric Lepage, Claude Boucheix, Alain Bernard, Catherine Sebban, F Sigaux, E Racadot, H Jouault, Olivier Casasnovas and C Sartiaux. Their work appears in journals such as Blood, International Journal of Gynecology & Obstetrics, Leukemia, Biotechnic & Histochemistry and PubMed.

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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