Nelva Mata

2.2k citations
20 papers · 955 · h-index 14

Impact in

Papers in

    • Lipoproteins and Cardiovascular Health 14
    • Coronary Interventions and Diagnostics 1
    • Smoking Behavior and Cessation 3

Nelva Mata

20 papers receiving 937 citations

Peers

Nelva Mata
Comparison fields: 5 of 61
  • Surgery 738
  • Cancer Research 164
  • Endocrinology, Diabetes and Metabolism 166
  • Cardiology and Cardiovascular Medicine 131
  • Pathology and Forensic Medicine 47
Replace Ovidio Muñiz-Grijalvo with:
Ovidio Muñiz-Grijalvo Spain
Maya Safarova United States
Iris Kindt Netherlands
Robert A. Hegele United States
Kuo‐Chen Chan United States
Seamus C. Harrison United Kingdom
C.D. Furberg United States
Angelique C.M. Jansen Netherlands
Steven C. Hunt United States
Abhishek Mewada United States
Nelva Mata relative to Ovidio Muñiz-Grijalvo Spain Ovidio Muñiz-Grijalvo's profile →
Citations per field
00.5×1.5×
Ovidio Muñiz-Grijalvo · 1×
Citations per year

Countries citing papers authored by Nelva Mata

Since Specialization
Citations

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

Fields of papers citing papers by Nelva Mata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2014259
2 2008118
3 201198
4 201781
5 200765
6 201746
7 200942
8 201240
9 201530
10 201330
11 201729
12 201628
13 201217
14 201917
15 200813
16 200811
17 201010
18 20117
19 20127
20 20057

About Nelva Mata

Nelva Mata is a scholar working on Surgery, Physiology, Endocrinology, Diabetes and Metabolism, Economics and Econometrics and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 955 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (14 papers), Smoking Behavior and Cessation (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Obesity, Physical Activity, Diet (1 paper), Pharmaceutical Economics and Policy (1 paper), School Health and Nursing Education (1 paper) and Coronary Interventions and Diagnostics (1 paper). The work is most often cited by research in Surgery (738 citations), Cancer Research (164 citations), Endocrinology, Diabetes and Metabolism (166 citations), Cardiology and Cardiovascular Medicine (131 citations) and Pathology and Forensic Medicine (47 citations). Nelva Mata has collaborated with scholars based in Spain, Chile and United States. Frequent co-authors include Rodrigo Alonso, Pedro Mata, Francisco Fuentes, Ovidio Muñiz-Grijalvo, José Luis Díaz-Díaz, José López‐Miranda, Lina Badimón, Teresa Padró, Marta Mauri and José M. Ordovás. Their work appears in journals such as Atherosclerosis, Revista Española de Cardiología (English Edition), Expert Opinion on Drug Safety, Nicotine & Tobacco Research and Prevention Science.

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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