V. Bony

470 citations
10 papers · 361 · h-index 7

Impact in

  • Hematology top 5%
    • Blood groups and transfusion
    • Platelet Disorders and Treatments
    • Iron Metabolism and Disorders
  • Genetics top 10%
    • Hemoglobinopathies and Related Disorders
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Blood groups and transfusion 8
    • Acute Myeloid Leukemia Research 1
    • Chronic Myeloid Leukemia Treatments 1
    • Erythrocyte Function and Pathophysiology 5

V. Bony

10 papers receiving 354 citations

Peers

V. Bony
Comparison fields: 5 of 41
  • Hematology 228
  • Genetics 121
  • Physiology 176
  • Immunology and Allergy 35
  • Immunology 44
Replace Jonathan S. Smythe with:
Jonathan S. Smythe United Kingdom
K-W Sykora Germany
Toshiyuki Yanase Japan
A Pollak United States
C.P. Brizard France
PH Fitzgerald New Zealand
Keith Fishlock United Kingdom
Ciarán J. Mooney Ireland
EM Alderman United States
Michihiro Yano Japan
V. Bony relative to Jonathan S. Smythe United Kingdom Jonathan S. Smythe's profile →
Citations per field
00.5×5.8×
Jonathan S. Smythe · 1×
Citations per year

Countries citing papers authored by V. Bony

Since Specialization
Citations

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

Fields of papers citing papers by V. Bony

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 1998110
2 199993
3 200869
4 200133
5 198319
6 199817
7 197510
8 20065
9 19794
10 19791

About V. Bony

V. Bony is a scholar working on Hematology, Physiology, Genetics, Genetics and Immunology, having authored 10 papers that have together received 361 indexed citations. Recurring topics across this work include Blood groups and transfusion (8 papers), Erythrocyte Function and Pathophysiology (5 papers), Diabetes and associated disorders (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Blood disorders and treatments (2 papers), T-cell and B-cell Immunology (2 papers), Acute Myeloid Leukemia Research (1 paper) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Hematology (228 citations), Genetics (121 citations), Physiology (176 citations), Immunology and Allergy (35 citations) and Immunology (44 citations). V. Bony has collaborated with scholars based in France, Nigeria and Denmark. Frequent co-authors include Jean‐Pierre Cartron, Pierre Gane, Pascal Bailly, Yves Colin, Caroline Le Van Kim, Wassim El Nemer, Cécile Rahuel, F. Galactéros, Jacques Élion and Marie‐Hélène Odièvre. Their work appears in journals such as Vox Sanguinis, British Journal of Haematology, Journal of Biological Chemistry, Haematologica and Transfusion Clinique et Biologique.

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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