Jérôme Bourgeais

635 citations
20 papers · 359 · h-index 11

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Multiple Myeloma Research and Treatments
    • Hematopoietic Stem Cell Transplantation
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Mitochondrial Function and Pathology 3
    • Ubiquitin and proteasome pathways 3
    • Kruppel-like factors research 2
    • Acute Myeloid Leukemia Research 4
    • Chronic Myeloid Leukemia Treatments 3

Jérôme Bourgeais

19 papers receiving 354 citations

Peers

Jérôme Bourgeais
Comparison fields: 5 of 70
  • Hematology 116
  • Genetics 65
  • Cancer Research 66
  • Oncology 99
  • Immunology 61
Replace Runxia Gu with:
Runxia Gu China
Lin‐wen Wu China
Qin Fang China
Elisa Ferrari Italy
Dongmei Guo China
Nisha Tapryal United States
Olivier Cerles France
Iris Kaiser Germany
Fabiana Zolea Italy
Toshie Gamou Japan
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Citations per field
00.5×2.8×
Runxia Gu · 1×
Citations per year

Countries citing papers authored by Jérôme Bourgeais

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jérôme Bourgeais Line = papers co-authored together Jérôme Bourgeais links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201346
2 201344
3 201736
4 201632
5 201828
6 202027
7 201224
8 201623
9 201719
10 202018
11 202211
12 202110
13 202010
14 20208
15 20207
16 20197
17 20175
18 20223
19 20241
20 20240

About Jérôme Bourgeais

Jérôme Bourgeais is a scholar working on Molecular Biology, Hematology, Oncology, Cancer Research and Genetics, having authored 20 papers that have together received 359 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (4 papers), Acute Myeloid Leukemia Research (4 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Mitochondrial Function and Pathology (3 papers), Ubiquitin and proteasome pathways (3 papers) and Kruppel-like factors research (2 papers). The work is most often cited by research in Hematology (116 citations), Genetics (65 citations), Cancer Research (66 citations), Oncology (99 citations) and Immunology (61 citations). Jérôme Bourgeais has collaborated with scholars based in France, United States and Austria. Frequent co-authors include Fabrice Gouilleux, Olivier Hérault, Valérie Gouilleux‐Gruart, Brigitte Sola, Emmanuel Gyan, Jorge Domenech, Richard Moriggl, Frédéric Mazurier, Florence Rouleux‐Bonnin and Eva Grundschober. Their work appears in journals such as Cancers, Cells, Oncotarget, Leukemia and PLoS Biology.

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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