Brahim Chaqour

2.3k citations
68 papers · 1.9k · h-index 29

Impact in

    • Connective Tissue Growth Factor Research
    • TGF-β signaling in diseases
    • Angiogenesis and VEGF in Cancer
    • Hippo pathway signaling and YAP/TAZ

Papers in

Brahim Chaqour

64 papers receiving 1.9k citations

Peers

Brahim Chaqour
Comparison fields: 5 of 106
  • Molecular Biology 1.3k
  • Cell Biology 249
  • Ophthalmology 135
  • Urology 79
  • Cancer Research 176
Replace Wonhee Suh with:
Wonhee Suh South Korea
M. Laurent France
Martin Barron United Kingdom
John Crean Ireland
Nancy C. Joyce United States
Hiroyasu Kidoya Japan
Yee Sook Cho South Korea
Irina Arnaoutova United States
Olga Stenina‐Adognravi United States
Brahim Chaqour relative to Wonhee Suh South Korea Wonhee Suh's profile →
Citations per field
00.5×1.5×
Wonhee Suh · 1×
Citations per year

Countries citing papers authored by Brahim Chaqour

Since Specialization
Citations

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

Fields of papers citing papers by Brahim Chaqour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006161
2 199394
3 200993
4 200792
5 200180
6 200373
7 200667
8 200562
9 201559
10 200252
11 200849
12 199548
13 201244
14 201544
15 200442
16 202041
17 201541
18 199940
19 200840
20 200739

About Brahim Chaqour

Brahim Chaqour is a scholar working on Molecular Biology, Cell Biology, Ophthalmology, Geriatrics and Gerontology and Genetics, having authored 68 papers that have together received 1.9k indexed citations. Recurring topics across this work include Connective Tissue Growth Factor Research (35 papers), Retinal Development and Disorders (9 papers), Retinal Diseases and Treatments (6 papers), Sirtuins and Resveratrol in Medicine (5 papers), Glaucoma and retinal disorders (4 papers), RNA Research and Splicing (4 papers), Biomarkers in Disease Mechanisms (4 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Cell Biology (249 citations), Ophthalmology (135 citations), Urology (79 citations) and Cancer Research (176 citations). Brahim Chaqour has collaborated with scholars based in United States, France and South Korea. Frequent co-authors include Margarete Goppelt‐Struebe, Edward J. Macarak, Joel Rosenbloom, Maria B. Grant, Lester F. Lau, Lulu Yan, Haibo Liu, Isao Tamura, Jisoo Han and Georges Bellon. Their work appears in journals such as Journal of Biological Chemistry, Journal of Cell Communication and Signaling, Scientific Reports, Journal of Clinical Investigation and Circulation Research.

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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