Mar Piedecausa

1.2k citations
6 papers · 310 indexed · h-index 5
Topics
Lipoproteins and Cardiovascular Health (3 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers)Cancer, Lipids, and Metabolism (1 paper)
Partner nations
SpainSwitzerlandFrance

In The Last Decade

Mar Piedecausa

5 papers receiving 308 citations

Peers

Mar Piedecausa
Comparison fields: 5 of 59
  • Surgery 229
  • Endocrinology, Diabetes and Metabolism 107
  • Cancer Research 85
  • Cardiology and Cardiovascular Medicine 71
  • Economics and Econometrics 35
Replace D. Datta with:
D. Datta United Kingdom
Khalid Al-Waili Oman
Barbara Labrot Germany
Harald Elster Germany
Brigitte C. Brice United Kingdom
Horst Mann Germany
Mie Balling Denmark
Shinichi Tohyama Japan
Liv Mundal Norway
Steven C. Hunt United States
Mar Piedecausa relative to D. Datta United Kingdom D. Datta's profile →
Citations per field
00.5×1.5×2.2×
D. Datta · 1×
Citations per year

Countries citing papers authored by Mar Piedecausa

Since Specialization
Citations

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

Fields of papers citing papers by Mar Piedecausa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mar Piedecausa

This figure shows the co-authorship network connecting the top 25 collaborators of Mar Piedecausa. A scholar is included among the top collaborators of Mar Piedecausa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mar Piedecausa. Mar Piedecausa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 37
2 30
3 27
4 98
5 118
6
[Pleural exudate as presentation of constrictive pericarditis].
0

About Mar Piedecausa

Mar Piedecausa is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Surgery, having authored 6 papers that have together received 310 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Cancer, Lipids, and Metabolism (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (107 citations), Cancer Research (85 citations) and Surgery (229 citations). Mar Piedecausa has collaborated with scholars based in Spain, Switzerland and France. Frequent co-authors include Nelva Mata, Francisco Fuentes, Rodrigo Alonso, José Luis Díaz-Díaz, Ovidio Muñiz-Grijalvo, Luis Irigoyen, Rocío Aguado, R. Figueras, Marta Mauri and Pedro Luis Ruíz Sáenz. Their work appears in journals such as Atherosclerosis, International Journal of Cardiology and Thrombosis 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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