Arnaud Blomme

1.9k citations
21 papers · 736 · h-index 14

Impact in

    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation
  • Cell Biology top 10%
    • Endoplasmic Reticulum Stress and Disease

Papers in

    • Mitochondrial Function and Pathology 3
    • TGF-β signaling in diseases 2
    • Cancer, Lipids, and Metabolism 3
    • Cancer, Hypoxia, and Metabolism 3

Arnaud Blomme

20 papers receiving 731 citations

Peers

Arnaud Blomme
Comparison fields: 5 of 86
  • Cancer Research 174
  • Cell Biology 163
  • Oncology 188
  • Molecular Biology 402
  • Immunology and Allergy 24
Replace Reiko Satow with:
Reiko Satow Japan
Junhye Kwon South Korea
Kimberly Batten United States
Toshifumi Yae Japan
Zi‐Jie Long China
Clifton Stephens United States
Lisa Ley United States
Taiji Yamazoe Japan
Arpita Datta Singapore
Arnaud Blomme relative to Reiko Satow Japan Reiko Satow's profile →
Citations per field
00.5×1.5×1.8×
Reiko Satow · 1×
Citations per year

Countries citing papers authored by Arnaud Blomme

Since Specialization
Citations

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

Fields of papers citing papers by Arnaud Blomme

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021126
2 2015102
3 201362
4 201959
5 201658
6 202255
7 201352
8 201342
9 201429
10 201027
11 201127
12 201821
13 201018
14 201714
15 201613
16 201512
17 202110
18 20226
19 20162
20 20251

About Arnaud Blomme

Arnaud Blomme is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Cell Biology, having authored 21 papers that have together received 736 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (3 papers), Prostate Cancer Treatment and Research (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Mitochondrial Function and Pathology (3 papers), TGF-β signaling in diseases (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Cell Adhesion Molecules Research (2 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Cancer Research (174 citations), Cell Biology (163 citations), Oncology (188 citations), Molecular Biology (402 citations) and Immunology and Allergy (24 citations). Arnaud Blomme has collaborated with scholars based in Belgium, France and United Kingdom. Frequent co-authors include Andrei Turtoï, Vincent Castronovo, Adrienne M. Gorman, Afshin Samali, Katarzyna Mnich, Edwin De Pauw, Philippe Delvenne, Elettra Bianchi, Akeila Bellahcène and Brunella Costanza. Their work appears in journals such as Journal of Proteome Research, Oncotarget, iScience, Neoplasia and PLoS Medicine.

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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