P. Mata

32 papers receiving 972 citations

Peers

P. Mata
Comparison fields: 5 of 75
  • Nutrition and Dietetics 262
  • Endocrinology, Diabetes and Metabolism 206
  • Surgery 476
  • Biochemistry 67
  • Biochemistry 63
Replace E J Schaefer with:
E J Schaefer United States
S. Martini Italy
E Schaefer United States
C. Thevenon France
Fred L. Johnson United States
William T. Cave United States
Fred Gey Switzerland
Sarah J. Jackson United Kingdom
Rafael Bitzur Israel
Ian J. Cartwright United Kingdom
P. Mata relative to E J Schaefer United States E J Schaefer's profile →
Citations per field
00.5×
E J Schaefer · 1×
Citations per year

Countries citing papers authored by P. Mata

Since Specialization
Citations

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

Fields of papers citing papers by P. Mata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994134
2 2008120
3 1992113
4 1996110
5 1992104
6 199479
7 200162
8 200762
9 199757
10 201027
11 200320
12 200318
13 201217
14 201415
15 201012
16 200211
17 201110
18
[Diets enriched with monounsaturated fatty acids and omega-3 polyunsaturated fatty acids decrease blood pressure without changing the plasma insulin concentration in healthy subjects].
19999
19 20056
20 20174

About P. Mata

P. Mata is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Cancer Research, Nutrition and Dietetics and Pathology and Forensic Medicine, having authored 36 papers that have together received 1.0k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (15 papers), Cancer, Lipids, and Metabolism (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Fatty Acid Research and Health (4 papers), Nutritional Studies and Diet (3 papers), Cholesterol and Lipid Metabolism (3 papers), Diet and metabolism studies (3 papers) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Nutrition and Dietetics (262 citations), Endocrinology, Diabetes and Metabolism (206 citations), Surgery (476 citations), Biochemistry (67 citations) and Biochemistry (63 citations). P. Mata has collaborated with scholars based in Spain, United States and Brazil. Frequent co-authors include José M. Ordovás, Manuel de Oya, Rodrigo Alonso, José López‐Miranda, Ernst J. Schaefer, BA Clevidence, Alice H. Lichtenstein, J T Judd, Enrique Blázquez and Carlos Lahoz. Their work appears in journals such as Atherosclerosis, European Journal of Clinical Investigation, Atherosclerosis Supplements, American Journal of Clinical Nutrition and Nutrition Metabolism and Cardiovascular Diseases.

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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