Marc Comas‐Cufí

1.6k citations
58 papers · 1.0k · h-index 16

Impact in

Papers in

Marc Comas‐Cufí

48 papers receiving 1.0k citations

Peers

Marc Comas‐Cufí
Comparison fields: 5 of 129
  • Surgery 340
  • Health, Toxicology and Mutagenesis 91
  • Cardiology and Cardiovascular Medicine 126
  • Geriatrics and Gerontology 18
  • Endocrinology, Diabetes and Metabolism 79
Replace Lia Alves‐Cabratosa with:
Lia Alves‐Cabratosa Spain
Ruth Martí‐Lluch Spain
Qingying Zhang China
Yulia Dyachkova United States
Robert J. Herbert United States
David Nicholson United States
Ying Bao China
Hsin‐Wei Kuo Taiwan
Young Duk Song South Korea
Minna Tikkanen Finland
Marc Comas‐Cufí relative to Lia Alves‐Cabratosa Spain Lia Alves‐Cabratosa's profile →
Citations per field
00.5×1.5×
Lia Alves‐Cabratosa · 1×
Citations per year

Countries citing papers authored by Marc Comas‐Cufí

Since Specialization
Citations

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

Fields of papers citing papers by Marc Comas‐Cufí

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc Comas‐Cufí. 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 Marc Comas‐Cufí. The network helps show where Marc Comas‐Cufí may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018141
2
CoDaPack 2.0: a stand-alone, Multi-platform Compositional Software
2011107
3 201978
4 201677
5 201775
6 201751
7 201748
8 201944
9 201444
10 201532
11 201928
12 202024
13 202023
14 202117
15 202017
16 201917
17 201715
18 201815
19 201715
20 201714

About Marc Comas‐Cufí

Marc Comas‐Cufí is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Artificial Intelligence, Nephrology and Environmental Engineering, having authored 58 papers that have together received 1.0k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (11 papers), Peripheral Artery Disease Management (7 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Pharmaceutical Economics and Policy (3 papers), Geochemistry and Geologic Mapping (3 papers), Cardiovascular Health and Disease Prevention (3 papers) and Blood Pressure and Hypertension Studies (2 papers). The work is most often cited by research in Surgery (340 citations), Health, Toxicology and Mutagenesis (91 citations), Cardiology and Cardiovascular Medicine (126 citations), Geriatrics and Gerontology (18 citations) and Endocrinology, Diabetes and Metabolism (79 citations). Marc Comas‐Cufí has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Rafel Ramos, Maria García-Gil, Lia Alves‐Cabratosa, Jordi Blanch, Anna Ponjoan, Ruth Martí‐Lluch, Santiago Thió‐Henestrosa, Roberto Elosúa, Jaume Marrugat and María Grau. Their work appears in journals such as Atherosclerosis, PLoS ONE, Journal of Neuroimaging, Cancers and Environmental 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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