Blai Coll

3.8k citations
73 papers · 3.1k · h-index 33

Impact in

  • Nephrology top 1%
    • Chronic Kidney Disease and Diabetes
    • Parathyroid Disorders and Treatments
    • HIV-related health complications and treatments

Papers in

Blai Coll

72 papers receiving 3.0k citations

Peers

Blai Coll
Comparison fields: 5 of 110
  • Nephrology 388
  • Emergency Medicine 360
  • Clinical Biochemistry 281
  • Virology 152
  • Cardiology and Cardiovascular Medicine 604
Replace Etienne Sochett with:
Etienne Sochett Canada
Beatriz Fernández‐Fernández Spain
Laurence Duvillard France
Michael Feher United Kingdom
A Nitenberg France
Ning Tan China
Gilles Chironi France
Arjun Sinha United States
Luca Di Lullo Italy
W. Schoeppe Germany
Blai Coll relative to Etienne Sochett Canada Etienne Sochett's profile →
Citations per field
00.5×7.2×
Etienne Sochett · 1×
Citations per year

Countries citing papers authored by Blai Coll

Since Specialization
Citations

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

Fields of papers citing papers by Blai Coll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014231
2 2009206
3 2009204
4 2010140
5 2010111
6 200489
7 200987
8 200681
9 200978
10 201072
11 200768
12 201065
13 200664
14 201061
15 200858
16 200754
17 201252
18 200652
19 200552
20 200752

About Blai Coll

Blai Coll is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Emergency Medicine, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 73 papers that have together received 3.1k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (12 papers), HIV-related health complications and treatments (10 papers), Cardiovascular Health and Disease Prevention (8 papers), Cerebrovascular and Carotid Artery Diseases (7 papers), Paraoxonase enzyme and polymorphisms (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Blood Pressure and Hypertension Studies (3 papers). The work is most often cited by research in Nephrology (388 citations), Emergency Medicine (360 citations), Clinical Biochemistry (281 citations), Virology (152 citations) and Cardiology and Cardiovascular Medicine (604 citations). Blai Coll has collaborated with scholars based in Spain, United States and Netherlands. Frequent co-authors include Carlos Alonso‐Villaverde, Jorge Joven, Steven B. Feinstein, Jordi Camps, Sandra Parra, José Manuel Valdivielso, Daniel Staub, Elvira Fernández, L. Masana and Mònica Tous. Their work appears in journals such as Atherosclerosis, Clinica Chimica Acta, AIDS, Cytokine and Stroke.

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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