Pedro Mata

117 papers receiving 4.0k citations

Pedro Mata's Hit Papers

Lipoprotein(a) Levels in Familial Hypercholesterolemia 2014 · 267 citations
2670+4+8Years since publication50100150200250

Peers

Pedro Mata
Comparison fields: 5 of 123
  • Surgery 2.5k
  • Cancer Research 632
  • Endocrinology, Diabetes and Metabolism 700
  • Cardiology and Cardiovascular Medicine 580
  • Nutrition and Dietetics 279
Replace Rodrigo Alonso with:
Rodrigo Alonso Spain
Olivier Descamps Belgium
John R. Burnett Australia
Atsushi Nohara Japan
Patrick M. Moriarty United States
Jean Bergeron Canada
Marina Cuchel United States
Anette Varbo Denmark
Núria Plana Spain
Akihiro Inazu Japan
Pedro Mata relative to Rodrigo Alonso Spain Rodrigo Alonso's profile →
Citations per field
00.5×1.6×
Rodrigo Alonso · 1×
Citations per year

Countries citing papers authored by Pedro Mata

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Mata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002407
2
Lipoprotein(a) Levels in Familial Hypercholesterolemia
Hit paper breakdown →
2014267
3 2004139
4 2002125
5 2010120
6 2013105
7 2011100
8 201296
9 199795
10 202091
11 199589
12 200587
13 201985
14 201781
15 201576
16 200474
17 200269
18 201368
19 201668
20 201860

About Pedro Mata

Pedro Mata is a scholar working on Surgery, Cancer Research, Endocrinology, Diabetes and Metabolism, Immunology and Cardiology and Cardiovascular Medicine, having authored 119 papers that have together received 4.1k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (79 papers), Cancer, Lipids, and Metabolism (20 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (19 papers), Atherosclerosis and Cardiovascular Diseases (10 papers), Cholesterol and Lipid Metabolism (7 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Fatty Acid Research and Health (5 papers) and Lipid metabolism and disorders (4 papers). The work is most often cited by research in Surgery (2.5k citations), Cancer Research (632 citations), Endocrinology, Diabetes and Metabolism (700 citations), Cardiology and Cardiovascular Medicine (580 citations) and Nutrition and Dietetics (279 citations). Pedro Mata has collaborated with scholars based in Spain, Chile and United States. Frequent co-authors include Rodrigo Alonso, Lina Badimón, Teresa Padró, José López‐Miranda, Francisco Fuentes, Ovidio Muñiz-Grijalvo, Francisco Pérez‐Jiménez, José Luis Díaz-Díaz, Nelva Mata and Leopoldo Pérez de Isla. Their work appears in journals such as Atherosclerosis, Journal of clinical lipidology, Revista Española de Cardiología (English Edition), Journal of the American College of Cardiology and Arteriosclerosis Thrombosis and Vascular Biology.

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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