Nelva Mata

2.2k citations
20 papers · 952 indexed · h-index 14

Impact in

Papers in

Nelva Mata

20 papers receiving 934 citations

Peers

Nelva Mata
Comparison fields: 5 of 71
  • Cancer Research 280
  • Surgery 786
  • Endocrinology, Diabetes and Metabolism 294
  • Cardiology and Cardiovascular Medicine 201
  • Economics and Econometrics 146
Replace Michael K. Palmer with:
Michael K. Palmer United Kingdom
Damon A. Bell Australia
Maya Safarova United States
Issa Alesh United States
Iris Kindt Netherlands
Kyung Hee Yi South Korea
Seamus C. Harrison United Kingdom
Howard M. Monroe United States
Sophie Béliard France
Angelique C.M. Jansen Netherlands
Nelva Mata relative to Michael K. Palmer United Kingdom Michael K. Palmer's profile →
Citations per field
00.5×3.6×
Michael K. Palmer · 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-authorship network

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 201916
2 201746
3 201780
4 201729
5 201628
6 201530
7 2014259
8 201330
9 201240
10 201217
11 20126
12 201198
13 20117
14 201010
15 200942
16 2008118
17 200813
18 200811
19 200765
20 20057

About Nelva Mata

Nelva Mata is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Speech and Hearing, Economics and Econometrics and Pathology and Forensic Medicine, having authored 20 papers that have together received 952 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (17 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Genetic factors in colorectal cancer (3 papers), Pharmaceutical Economics and Policy (3 papers), Smoking Behavior and Cessation (3 papers), School Health and Nursing Education (2 papers) and Obesity, Physical Activity, Diet (2 papers). The work is most often cited by research in Cancer Research (280 citations), Surgery (786 citations), Endocrinology, Diabetes and Metabolism (294 citations), Cardiology and Cardiovascular Medicine (201 citations) and Economics and Econometrics (146 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, European Journal of Public Health and International Journal of Cardiology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026