Eva Márquez
Impact in
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
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- Hormonal Regulation and Hypertension
Papers in
- Nephrology 11
- Renal Diseases and Glomerulopathies 6
- Chronic Kidney Disease and Diabetes 5
- Co-authors
- Julio Pascual (10 shared papers)Marta Riera (9 shared papers)María José Soler (7 shared papers)Juan Luís Concepción (1 shared paper)Giuseppe Lanza (1 shared paper)Alberto Paniz‐Mondolfi (1 shared paper)Javier Gimeno (5 shared papers)Josep Lloreta (2 shared papers)
- Journals
- International Journal of Molecular Sciences (2 papers)American Journal of Physiology-Renal Physiology (2 papers)PLoS ONE (2 papers)Journal of Nephrology (1 paper)Clinical Kidney Journal (1 paper)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Eva Márquez
16 papers receiving 283 citations
Peers
Comparison fields: 5 of 54
- Nephrology 85
- Endocrinology, Diabetes and Metabolism 71
- Cardiology and Cardiovascular Medicine 88
- Pharmacology 27
- Epidemiology 49
Countries citing papers authored by Eva Márquez
This map shows the geographic impact of Eva Márquez'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 Eva Márquez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Márquez more than expected).
Fields of papers citing papers by Eva Márquez
This network shows the impact of papers produced by Eva Márquez. 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 Eva Márquez. The network helps show where Eva Márquez may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Márquez, 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 | 2014 | 52 | |
| 2 | 2014 | 43 | |
| 3 | 2009 | 38 | |
| 4 | 2015 | 27 | |
| 5 | 2021 | 25 | |
| 6 | 2012 | 24 | |
| 7 | 2014 | 19 | |
| 8 | 2012 | 15 | |
| 9 | 2013 | 12 | |
| 10 | 2012 | 9 | |
| 11 | 2014 | 7 | |
| 12 | 2021 | 4 | |
| 13 | 2021 | 4 | |
| 14 | 2022 | 3 | |
| 15 | 2010 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 2015 | 0 | |
| 18 | 2014 | 0 |
About Eva Márquez
Eva Márquez is a scholar working on Nephrology, Molecular Biology, Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health and Physiology, having authored 18 papers that have together received 286 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (6 papers), Chronic Kidney Disease and Diabetes (5 papers), Renin-Angiotensin System Studies (4 papers), Trypanosoma species research and implications (2 papers), Galectins and Cancer Biology (2 papers), Research on Leishmaniasis Studies (2 papers), Renal Transplantation Outcomes and Treatments (2 papers) and Diabetes Treatment and Management (2 papers). The work is most often cited by research in Nephrology (85 citations), Endocrinology, Diabetes and Metabolism (71 citations), Cardiology and Cardiovascular Medicine (88 citations), Pharmacology (27 citations) and Epidemiology (49 citations). Eva Márquez has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Julio Pascual, Marta Riera, María José Soler, Juan Luís Concepción, Giuseppe Lanza, Alberto Paniz‐Mondolfi, Javier Gimeno, Josep Lloreta, Daniel Batlle and Marta Crespo. Their work appears in journals such as International Journal of Molecular Sciences, American Journal of Physiology-Renal Physiology, PLoS ONE, Journal of Nephrology and Clinical Kidney Journal.
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.