M-C Béné

590 citations
10 papers · 256 · h-index 5

Impact in

Papers in

M-C Béné

9 papers receiving 242 citations

Peers

M-C Béné
Comparison fields: 5 of 43
  • Hematology 158
  • Public Health, Environmental and Occupational Health 166
  • Genetics 28
  • Pediatrics, Perinatology and Child Health 47
  • Pathology and Forensic Medicine 27
Replace Concepción Rivas with:
Concepción Rivas Spain
A Chauvenet United States
Nora Mühlegger Austria
Tiziana Coliva Italy
Maria Åström Sweden
Shu‐Huey Chen Taiwan
Ching‐Hon Pui United States
A Montuoro Italy
Kirsten Bleckmann Germany
Jiejing Qian China
M-C Béné relative to Concepción Rivas Spain Concepción Rivas's profile →
Citations per field
00.5×1.5×1.9×
Concepción Rivas · 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

10 of 10 papers shown
#Work
1 199499
2 199483
3 199845
4 200211
5 19897
6 19924
7
[Polyclonal T lymphocyte proliferation in drug lymphocyte activation test].
20003
8 20113
9
Indolent lymphoproliferative disease of large granular lymphocytes after lung transplantation.
19991
10 20020

About M-C Béné

M-C Béné is a scholar working on Public Health, Environmental and Occupational Health, Oncology, Molecular Biology, Pathology and Forensic Medicine and Hematology, having authored 10 papers that have together received 256 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (4 papers), Acute Myeloid Leukemia Research (2 papers), Lung Cancer Research Studies (2 papers), Molecular Biology Techniques and Applications (2 papers), Ovarian function and disorders (1 paper), Mycobacterium research and diagnosis (1 paper), Polyomavirus and related diseases (1 paper) and Renal Diseases and Glomerulopathies (1 paper). The work is most often cited by research in Hematology (158 citations), Public Health, Environmental and Occupational Health (166 citations), Genetics (28 citations), Pediatrics, Perinatology and Child Health (47 citations) and Pathology and Forensic Medicine (27 citations). M-C Béné has collaborated with scholars based in France, Germany and United Kingdom. Frequent co-authors include Lydia Campos, E Racadot, Catherine Sebban, F Sigaux, Alain Bernard, Claude Boucheix, Éric Lepage, H Jouault, Francine Mugneret and C Charrin. 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.

Explore authors with similar magnitude of impact