Marcos Pazos-Couselo

692 citations
26 papers · 466 · h-index 12

Impact in

Papers in

Marcos Pazos-Couselo

25 papers receiving 457 citations

Peers

Marcos Pazos-Couselo
Comparison fields: 5 of 76
  • Endocrine and Autonomic Systems 102
  • Endocrinology, Diabetes and Metabolism 205
  • Physiology 199
  • Speech and Hearing 43
  • Genetics 125
Replace Alice Giontella with:
Alice Giontella Italy
Ambika Babu United States
Ruriko Suzuki Japan
L. Ashworth United Kingdom
Tina Jorsal Denmark
Xiaoguang Yao China
Ingrid Jullian‐Desayes France
Dileep Unnikrishnan United States
David Segal South Africa
Mariusz Dąbrowski Poland
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Citations per field
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Citations per year

Countries citing papers authored by Marcos Pazos-Couselo

Since Specialization
Citations

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

Fields of papers citing papers by Marcos Pazos-Couselo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcos Pazos-Couselo. 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 Marcos Pazos-Couselo. The network helps show where Marcos Pazos-Couselo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005127
2 201642
3 201639
4 201235
5 201533
6 201432
7 202326
8 201919
9 201818
10 201817
11 202013
12 201911
13 202310
14 202210
15 20218
16 20228
17 20226
18 20123
19 20183
20 20241

About Marcos Pazos-Couselo

Marcos Pazos-Couselo is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Molecular Biology and Physiology, having authored 26 papers that have together received 466 indexed citations. Recurring topics across this work include Diabetes Management and Research (15 papers), Diabetes and associated disorders (10 papers), Pancreatic function and diabetes (7 papers), Diabetes Treatment and Management (7 papers), Metabolism, Diabetes, and Cancer (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Nuclear Structure and Function (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (102 citations), Endocrinology, Diabetes and Metabolism (205 citations), Physiology (199 citations), Speech and Hearing (43 citations) and Genetics (125 citations). Marcos Pazos-Couselo has collaborated with scholars based in Spain, Germany and Portugal. Frequent co-authors include José Luís Blanco, Francisco Gudé, José Manuel García López, María González‐Rodríguez, Felipe F. Casanueva, J. Rodríguez, Arturo González‐Quintela, Manuela Alonso‐Sampedro, Carmen Fernández‐Merino and David Araújo‐Vilar. Their work appears in journals such as Diabetes Research and Clinical Practice, Scientific Reports, Nutrition & Metabolism, European Journal of Clinical Nutrition and Diabetes Technology & Therapeutics.

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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