Jérôme Bourgeais
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Hematopoietic Stem Cell Transplantation
- Multiple Myeloma Research and Treatments
-
- Mesenchymal stem cell research
Papers in
-
- Acute Myeloid Leukemia Research 4
- Chronic Myeloid Leukemia Treatments 3
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- Cancer, Hypoxia, and Metabolism 5
- Co-authors
- Fabrice Gouilleux (8 shared papers)Olivier Hérault (20 shared papers)Valérie Gouilleux‐Gruart (4 shared papers)Brigitte Sola (3 shared papers)Jorge Domenech (5 shared papers)Emmanuel Gyan (5 shared papers)Richard Moriggl (3 shared papers)Frédéric Mazurier (3 shared papers)
- Journals
- Cells (3 papers)Cancers (3 papers)Leukemia (2 papers)Oncotarget (2 papers)Molecular and Cellular Endocrinology (2 papers)
- Partner nations
- FranceAustriaUnited States
In The Last Decade
Jérôme Bourgeais
25 papers receiving 517 citations
Peers
Comparison fields: 5 of 77
- Hematology 143
- Genetics 85
- Cancer Research 85
- Oncology 110
- Immunology 86
Countries citing papers authored by Jérôme Bourgeais
This map shows the geographic impact of Jérôme Bourgeais'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 Jérôme Bourgeais with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jérôme Bourgeais more than expected).
Fields of papers citing papers by Jérôme Bourgeais
This network shows the impact of papers produced by Jérôme Bourgeais. 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 Jérôme Bourgeais. The network helps show where Jérôme Bourgeais may publish in the future.
Co-authors
The 25 scholars most cited alongside Jérôme Bourgeais, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 50 | |
| 2 | 2013 | 47 | |
| 3 | 2017 | 43 | |
| 4 | 2022 | 39 | |
| 5 | 2019 | 37 | |
| 6 | 2018 | 35 | |
| 7 | 2016 | 35 | |
| 8 | 2020 | 30 | |
| 9 | 2012 | 25 | |
| 10 | 2016 | 24 | |
| 11 | 2016 | 24 | |
| 12 | 2020 | 22 | |
| 13 | 2017 | 19 | |
| 14 | 2022 | 16 | |
| 15 | 2022 | 15 | |
| 16 | 2021 | 10 | |
| 17 | 2019 | 10 | |
| 18 | 2020 | 10 | |
| 19 | 2020 | 9 | |
| 20 | 2020 | 8 |
About Jérôme Bourgeais
Jérôme Bourgeais is a scholar working on Hematology, Cancer Research, Genetics, Oncology and Neurology, having authored 27 papers that have together received 523 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (5 papers), Acute Myeloid Leukemia Research (4 papers), Cytokine Signaling Pathways and Interactions (4 papers), Amyotrophic Lateral Sclerosis Research (4 papers), Mitochondrial Function and Pathology (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Ubiquitin and proteasome pathways (3 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Hematology (143 citations), Genetics (85 citations), Cancer Research (85 citations), Oncology (110 citations) and Immunology (86 citations). Jérôme Bourgeais has collaborated with scholars based in France, Austria and United States. Frequent co-authors include Fabrice Gouilleux, Olivier Hérault, Valérie Gouilleux‐Gruart, Brigitte Sola, Jorge Domenech, Emmanuel Gyan, Richard Moriggl, Frédéric Mazurier, Florence Rouleux‐Bonnin and Nathalie M. Mazure. Their work appears in journals such as Cells, Cancers, Leukemia, Oncotarget and Molecular and Cellular Endocrinology.
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.