David Hervás
Impact in
- Obstetrics and Gynecology top 2%
- Pregnancy and preeclampsia studies
- Neurology top 5%
- Long-Term Effects of COVID-19
Papers in
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- Epigenetics and DNA Methylation 7
- Co-authors
- Máximo Vento (19 shared papers)Juan Sandoval (14 shared papers)Eduardo García‐Granero (8 shared papers)Matteo Frasson (6 shared papers)Consuelo Cháfer‐Pericás (12 shared papers)Blas Flor‐Lorente (4 shared papers)Ana García‐Blanco (14 shared papers)Agustín Lahoz (7 shared papers)
- Journals
- International Journal of Molecular Sciences (8 papers)Scientific Reports (7 papers)The Journal of Maternal-Fetal & Neonatal Medicine (7 papers)PLoS ONE (5 papers)Blood (3 papers)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
David Hervás
178 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 150
- Obstetrics and Gynecology 205
- Neurology 294
- Transplantation 50
- Cancer Research 236
- Hepatology 117
Countries citing papers authored by David Hervás
This map shows the geographic impact of David Hervás'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 David Hervás with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Hervás more than expected).
Fields of papers citing papers by David Hervás
This network shows the impact of papers produced by David Hervás. 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 David Hervás. The network helps show where David Hervás may publish in the future.
Co-authors
The 25 scholars most cited alongside David Hervás, 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 188 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 267 | |
| 2 | 2021 | 163 | |
| 3 | 2014 | 144 | |
| 4 | 2016 | 107 | |
| 5 | 2017 | 89 | |
| 6 | 2014 | 81 | |
| 7 | 2013 | 75 | |
| 8 | 2017 | 74 | |
| 9 | 2016 | 74 | |
| 10 | 2018 | 71 | |
| 11 | 2020 | 69 | |
| 12 | 2019 | 61 | |
| 13 | 2016 | 60 | |
| 14 | 2018 | 56 | |
| 15 | 2019 | 55 | |
| 16 | 2015 | 54 | |
| 17 | 2015 | 53 | |
| 18 | 2014 | 49 | |
| 19 | 2017 | 47 | |
| 20 | 2018 | 46 |
About David Hervás
David Hervás is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Epidemiology and Physiology, having authored 188 papers that have together received 3.8k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (8 papers), Epigenetics and DNA Methylation (7 papers), Inflammatory Bowel Disease (7 papers), Pregnancy and preeclampsia studies (6 papers), Neurogenetic and Muscular Disorders Research (6 papers), Alzheimer's disease research and treatments (6 papers), Cancer-related molecular mechanisms research (5 papers) and Antioxidant Activity and Oxidative Stress (5 papers). The work is most often cited by research in Obstetrics and Gynecology (205 citations), Neurology (294 citations), Transplantation (50 citations), Cancer Research (236 citations) and Hepatology (117 citations). David Hervás has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Máximo Vento, Juan Sandoval, Eduardo García‐Granero, Matteo Frasson, Consuelo Cháfer‐Pericás, Blas Flor‐Lorente, Ana García‐Blanco, Agustín Lahoz, Alfredo Perales and José M. Millán. Their work appears in journals such as International Journal of Molecular Sciences, Scientific Reports, The Journal of Maternal-Fetal & Neonatal Medicine, PLoS ONE and Blood.
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.