Javier Rodríguez
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
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- Heart Rate Variability and Autonomic Control 26
- Cardiac electrophysiology and arrhythmias 7
- Blood Pressure and Hypertension Studies 5
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- Complex Systems and Time Series Analysis 17
- Co-authors
- Signed Prieto (64 shared papers)Catalina Correa (55 shared papers)Juan A. Díaz-González (1 shared paper)Puri Fortes (1 shared paper)Paula C. Jimenez (1 shared paper)J. Solà (1 shared paper)Jesús García‐Foncillas (1 shared paper)Eva Bandrés (1 shared paper)
In The Last Decade
Javier Rodríguez
90 papers receiving 956 citations
Peers
Comparison fields: 5 of 137
- Cancer Research 244
- Modeling and Simulation 48
- Cardiology and Cardiovascular Medicine 202
- Virology 38
- Molecular Biology 323
Countries citing papers authored by Javier Rodríguez
This map shows the geographic impact of Javier Rodríguez'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 Javier Rodríguez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Rodríguez more than expected).
Fields of papers citing papers by Javier Rodríguez
This network shows the impact of papers produced by Javier Rodríguez. 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 Javier Rodríguez. The network helps show where Javier Rodríguez may publish in the future.
Co-authors
The 25 scholars most cited alongside Javier Rodríguez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 302 | |
| 2 | 2010 | 57 | |
| 3 | 2010 | 46 | |
| 4 | 1994 | 44 | |
| 5 | 2013 | 40 | |
| 6 | 2005 | 35 | |
| 7 | 2010 | 26 | |
| 8 | 1996 | 23 | |
| 9 | 2010 | 23 | |
| 10 | 2014 | 22 | |
| 11 | 2014 | 19 | |
| 12 | 2010 | 19 | |
| 13 | 2017 | 18 | |
| 14 | Nueva metodología física y matemática de evaluación del Holter | 2008 | 18 |
| 15 | 2015 | 16 | |
| 16 | 2009 | 16 | |
| 17 | 2003 | 14 | |
| 18 | 2012 | 13 | |
| 19 | 2015 | 13 | |
| 20 | Evaluación matemática de la dinámica cardiaca con la teoría de la probabilidad | 2009 | 11 |
About Javier Rodríguez
Javier Rodríguez is a scholar working on Cardiology and Cardiovascular Medicine, Economics and Econometrics, Molecular Biology, Public Health, Environmental and Occupational Health and Modeling and Simulation, having authored 117 papers that have together received 1.0k indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (26 papers), Complex Systems and Time Series Analysis (17 papers), COVID-19 epidemiological studies (10 papers), Cardiac electrophysiology and arrhythmias (7 papers), Malaria Research and Control (7 papers), HIV Research and Treatment (6 papers), AI in cancer detection (6 papers) and Blood Pressure and Hypertension Studies (5 papers). The work is most often cited by research in Cancer Research (244 citations), Modeling and Simulation (48 citations), Cardiology and Cardiovascular Medicine (202 citations), Virology (38 citations) and Molecular Biology (323 citations). Javier Rodríguez has collaborated with scholars based in Colombia, Spain and Ecuador. Frequent co-authors include Signed Prieto, Catalina Correa, Juan A. Díaz-González, Puri Fortes, Paula C. Jimenez, J. Solà, Jesús García‐Foncillas, Eva Bandrés, Nerea Bitarte and Jackeline Agorreta. Their work appears in journals such as Clinical Cancer Research, Neurology, Microscopy Research and Technique, Accident Analysis & Prevention and Pharmacology Research & Perspectives.
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.