Benoit Devogelaere

1.0k citations
18 papers · 568 indexed · h-index 12

Impact in

Papers in

Benoit Devogelaere

17 papers receiving 566 citations

Peers

Benoit Devogelaere
Comparison fields: 5 of 74
  • Physiology 62
  • Sensory Systems 44
  • Cell Biology 100
  • Molecular Biology 339
  • Hepatology 31
Replace Christina R. Kahl with:
Christina R. Kahl Germany
Chan Chung United States
Kelly M. Weixel United States
Sarah Sayner United States
Wenhui Wang China
Chung‐Hsiang Yang Taiwan
Kelly A. Kaihara United States
Albert Gubern Spain
Ryo Ushioda Japan
Bo-Jhih Guan United States
Benoit Devogelaere relative to Christina R. Kahl Germany Christina R. Kahl's profile →
Citations per field
00.5×2.8×
Christina R. Kahl · 1×
Citations per year

Countries citing papers authored by Benoit Devogelaere

Since Specialization
Citations

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

Fields of papers citing papers by Benoit Devogelaere

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2008159
2 2010101
3 200950
4 200742
5 200636
6 200836
7 201231
8 200727
9 200725
10 201715
11 201314
12 200913
13 20108
14
Proteolytic Mechanisms Leading to Disturbed Ca2+ Signalling in Apoptotic Cell Death
20078
15 20131
16 20191
17 20131
18 20130

About Benoit Devogelaere

Benoit Devogelaere is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Infectious Diseases, Oncology and Hepatology, having authored 18 papers that have together received 568 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (4 papers), Colorectal Cancer Treatments and Studies (3 papers), Hepatitis C virus research (3 papers), Cancer Genomics and Diagnostics (3 papers), Pancreatic function and diabetes (2 papers), Genetic and Kidney Cyst Diseases (2 papers), Melanoma and MAPK Pathways (2 papers) and Biomedical Research and Pathophysiology (2 papers). The work is most often cited by research in Physiology (62 citations), Sensory Systems (44 citations), Cell Biology (100 citations), Molecular Biology (339 citations) and Hepatology (31 citations). Benoit Devogelaere has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Jan B. Parys, Ludwig Missiaen, Humbert De Smedt, Geert Bultynck, Eva Sammels, Veerle Vanderheyden, Humbert De Smedt, Djalila Mekahli, Stefan Somlo and Yiqiang Cai. Their work appears in journals such as Journal of Clinical Oncology, Journal of Biological Chemistry, Cell Calcium, Biochemical Journal and Antimicrobial Agents and Chemotherapy.

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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