Clàudia Coll

18 papers receiving 284 citations

Peers

Clàudia Coll
Comparison fields: 5 of 66
  • Biological Psychiatry 32
  • Pathology and Forensic Medicine 50
  • Neurology 23
  • Physiology 52
  • Gastroenterology 10
Replace Marcela Davoli-Ferreira with:
Marcela Davoli-Ferreira Brazil
Daniel J. Doty United States
C. Newton United States
S. Duleu France
Vanêssa Gomes Fraga Brazil
Sandra T. Clarke Canada
Christina Tryfonos Cyprus
Beth Uberseder United States
Jianing Wu China
Petra Klusoňová Czechia
Clàudia Coll relative to Marcela Davoli-Ferreira Brazil Marcela Davoli-Ferreira's profile →
Citations per field
00.5×2×3×4×4.5×
Marcela Davoli-Ferreira · 1×
Citations per year

Countries citing papers authored by Clàudia Coll

Since Specialization
Citations

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

Fields of papers citing papers by Clàudia Coll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 202281
2 201858
3 201958
4 202320
5 202219
6 201910
7 20217
8 20246
9 20225
10 20214
11 20244
12 20243
13 20243
14 20232
15 20182
16
DELETERIOUS EFFECTS OF LOVASTATIN IN RATS FED DIETS DEFICIENT OR SUPPLEMENTED WITH VITAMIN E
19951
17 20231
18
[Reflux esophagitis].
19951

About Clàudia Coll

Clàudia Coll is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Surgery, Endocrine and Autonomic Systems and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 285 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (5 papers), Gut microbiota and health (3 papers), Epigenetics and DNA Methylation (1 paper), Nutrition, Genetics, and Disease (1 paper), Maternal Mental Health During Pregnancy and Postpartum (1 paper), Iron Metabolism and Disorders (1 paper), Spinal Fractures and Fixation Techniques (1 paper) and Parasitic Infections and Diagnostics (1 paper). The work is most often cited by research in Biological Psychiatry (32 citations), Pathology and Forensic Medicine (50 citations), Neurology (23 citations), Physiology (52 citations) and Gastroenterology (10 citations). Clàudia Coll has collaborated with scholars based in Spain, Lithuania and France. Frequent co-authors include José Manuel Fernández‐Real, María Arnoriaga‐Rodríguez, Vicente Pérez‐Brocal, Andrés Moyá, Wifredo Ricart, Josep Puig, Lluís Ramió‐Torrentà, José María Moreno‐Navarrete, Josep Garre‐Olmo and Jordi Gich. Their work appears in journals such as Obesity, Frontiers in Psychology, Multiple Sclerosis and Related Disorders, Psychiatry and Clinical Neurosciences and The journal of nutrition health & aging.

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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