Nelva Mata
Impact in
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
- Surgery top 5%
- Lipoproteins and Cardiovascular Health
Papers in
- Surgery 17
- Lipoproteins and Cardiovascular Health 17
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 6
- Co-authors
- Rodrigo AlonsoPedro MataFrancisco FuentesOvidio Muñiz-GrijalvoJosé Luis Díaz-DíazJosé López‐MirandaLina BadimónTeresa Padró
- Journals
- Atherosclerosis (3 papers)Revista Española de Cardiología (English Edition) (2 papers)Expert Opinion on Drug Safety (1 paper)European Journal of Public Health (1 paper)International Journal of Cardiology (1 paper)
- Partner nations
- SpainChileUnited States
In The Last Decade
Nelva Mata
20 papers receiving 934 citations
Peers
Comparison fields: 5 of 71
- Cancer Research 280
- Surgery 786
- Endocrinology, Diabetes and Metabolism 294
- Cardiology and Cardiovascular Medicine 201
- Economics and Econometrics 146
Countries citing papers authored by Nelva Mata
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 16 | |
| 2 | 2017 | 46 | |
| 3 | 2017 | 80 | |
| 4 | 2017 | 29 | |
| 5 | 2016 | 28 | |
| 6 | 2015 | 30 | |
| 7 | 2014 | 259 | |
| 8 | 2013 | 30 | |
| 9 | 2012 | 40 | |
| 10 | 2012 | 17 | |
| 11 | 2012 | 6 | |
| 12 | 2011 | 98 | |
| 13 | 2011 | 7 | |
| 14 | 2010 | 10 | |
| 15 | 2009 | 42 | |
| 16 | 2008 | 118 | |
| 17 | 2008 | 13 | |
| 18 | 2008 | 11 | |
| 19 | 2007 | 65 | |
| 20 | 2005 | 7 |
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.