J.-O. Bay

690 citations
24 papers · 370 · h-index 10

Impact in

  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
  • Neurology top 10%
    • Neurofibromatosis and Schwannoma Cases
    • Neuroblastoma Research and Treatments

Papers in

J.-O. Bay

23 papers receiving 356 citations

Peers

J.-O. Bay
Comparison fields: 5 of 47
  • Hematology 122
  • Neurology 108
  • Oncology 138
  • Immunology 84
  • Genetics 36
Replace Haerim Chung with:
Haerim Chung South Korea
Dale Frank United States
M. H. Purdy United States
Anna Llort Spain
Séverine Tabone‐Eglinger France
JL Liesveld United States
Yoshitomo Maesako Japan
Su Y. Kim United States
S Murea Germany
Harry Fisher United States
J.-O. Bay relative to Haerim Chung South Korea Haerim Chung's profile →
Citations per field
00.5×1.5×2.3×
Haerim Chung · 1×
Citations per year

Countries citing papers authored by J.-O. Bay

Since Specialization
Citations

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

Fields of papers citing papers by J.-O. Bay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.-O. Bay. 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 J.-O. Bay. The network helps show where J.-O. Bay may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016110
2 200261
3 200038
4 199829
5 200321
6 199719
7
Seventh International Workshop on Ataxia-Telangiectasia.
199817
8 200713
9 199711
10 20009
11
[Role of the ATM gene in genetic predisposition to cancer].
20008
12 20077
13
[First-line chemotherapy in operable breast neoplasms: results of 3 protocols].
19976
14 19994
15 20113
16
[Ataxia telangiectasia and genetic predisposition to cancer].
19963
17 20002
18 20112
19 20102
20 20221

About J.-O. Bay

J.-O. Bay is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Pathology and Forensic Medicine and Hematology, having authored 24 papers that have together received 370 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (6 papers), DNA Repair Mechanisms (4 papers), Vascular Tumors and Angiosarcomas (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Cardiac tumors and thrombi (3 papers), Breast Cancer Treatment Studies (2 papers), Genetic factors in colorectal cancer (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Hematology (122 citations), Neurology (108 citations), Oncology (138 citations), Immunology (84 citations) and Genetics (36 citations). J.-O. Bay has collaborated with scholars based in France, Denmark and Italy. Frequent co-authors include J Dauplat, Nancy Uhrhammer, Didier Blaise, Olivier Tournilhac, Isabelle Ray‐Coquard, J Fleury, Nicolas Penel, Emmanuelle Bompas, Audrey Bellesœur and François Bertucci. Their work appears in journals such as Bone Marrow Transplantation, Journal of Clinical Oncology, Oncology Reports, British Journal of Anaesthesia and European Journal of Cancer.

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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