Blai Coll

3.8k citations
72 papers · 2.9k · h-index 33

Impact in

  • Nephrology top 1%
    • Chronic Kidney Disease and Diabetes
  • Virology top 5%
    • HIV Research and Treatment

Papers in

Blai Coll

71 papers receiving 2.9k citations

Peers

Blai Coll
Comparison fields: 5 of 116
  • Nephrology 430
  • Virology 216
  • Cardiology and Cardiovascular Medicine 898
  • Clinical Biochemistry 267
  • Emergency Medicine 368
Replace Beatriz Fernández‐Fernández with:
Beatriz Fernández‐Fernández Spain
Hans‐H. Neumayer Germany
Ashley Irish Australia
Megan L. Wolfe United States
Ning Tan China
Edmondo Falleti Italy
Kohji Okamoto Japan
Alexander Niessner Austria
Prediman K. Shah United States
Masahiro Nezu Japan
Blai Coll relative to Beatriz Fernández‐Fernández Spain Beatriz Fernández‐Fernández's profile →
Citations per field
00.5×5.3×
Beatriz Fernández‐Fernández · 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 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014217
2 2009199
3 2009192
4 2010131
5 2010105
6 200488
7 200984
8 200680
9 200975
10 201072
11 200766
12 201062
13 201060
14 200657
15 200854
16 200752
17 200550
18 200750
19 201748
20 200648

About Blai Coll

Blai Coll is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism and Emergency Medicine, having authored 72 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (17 papers), Lipoproteins and Cardiovascular Health (14 papers), HIV-related health complications and treatments (12 papers), Blood Pressure and Hypertension Studies (12 papers), Cerebrovascular and Carotid Artery Diseases (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Cardiac Imaging and Diagnostics (7 papers) and Adipokines, Inflammation, and Metabolic Diseases (6 papers). The work is most often cited by research in Nephrology (430 citations), Virology (216 citations), Cardiology and Cardiovascular Medicine (898 citations), Clinical Biochemistry (267 citations) and Emergency Medicine (368 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, José Manuel Valdivielso, Sandra Parra, Daniel Staub, Elvira Fernández, L. Masana and Mònica Tous. Their work appears in journals such as Atherosclerosis, AIDS, Clinica Chimica Acta, European Heart Journal and Clinical Journal of the American Society of Nephrology.

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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