Eva Parisi
- Nephrology top 2%
- Parathyroid Disorders and Treatments 3
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- Vitamin D Research Studies 8
- Nutrition and Dietetics top 10%
- Orthopedics and Sports Medicine top 10%
- Obstetrics and Gynecology top 10%
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- Amino Acid Enzymes and Metabolism 4
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- Microtubule and mitosis dynamics 3
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- CRISPR and Genetic Engineering 3
- Ubiquitin and proteasome pathways 2
- RNA and protein synthesis mechanisms 2
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- Gastrointestinal Tumor Research and Treatment 2
- Co-authors
- Ana Cardus FiguerasJosé Manuel ValdivielsoElvira FernándezSara PanizoMartí AldeaCarme GallegoPetya ValchevaAnabel Sorolla
- Journals
- Cancers (6 papers)International Journal of Molecular Sciences (3 papers)American Journal of Physiology-Cell Physiology (2 papers)
- Partner nations
- SpainUnited StatesAustralia
In The Last Decade
Eva Parisi
31 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 93
- Nephrology 255
- Pathology and Forensic Medicine 361
- Nutrition and Dietetics 149
- Orthopedics and Sports Medicine 77
- Obstetrics and Gynecology 55
Countries citing papers authored by Eva Parisi
This map shows the geographic impact of Eva Parisi'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 Parisi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Parisi more than expected).
Fields of papers citing papers by Eva Parisi
This network shows the impact of papers produced by Eva Parisi. 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 Parisi. The network helps show where Eva Parisi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eva Parisi, 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 | 2025 | 2 | |
| 2 | 2024 | 10 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 10 | |
| 7 | 2021 | 6 | |
| 8 | 2021 | 28 | |
| 9 | 2020 | 8 | |
| 10 | 2020 | 7 | |
| 11 | 2018 | 20 | |
| 12 | 2018 | 1 | |
| 13 | 2014 | 42 | |
| 14 | 2014 | 44 | |
| 15 | 2011 | 38 | |
| 16 | 2009 | 63 | |
| 17 | 2009 | 21 | |
| 18 | 2008 | 17 | |
| 19 | 2007 | 31 | |
| 20 | 2003 | 44 |
About Eva Parisi
Eva Parisi is a scholar working on Nephrology, Biochemistry, Pathology and Forensic Medicine, Gastroenterology and Molecular Biology, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Vitamin D Research Studies (8 papers), Amino Acid Enzymes and Metabolism (4 papers), Parathyroid Disorders and Treatments (3 papers), Microtubule and mitosis dynamics (3 papers), CRISPR and Genetic Engineering (3 papers), Ubiquitin and proteasome pathways (2 papers), Gastrointestinal Tumor Research and Treatment (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Nephrology (255 citations), Pathology and Forensic Medicine (361 citations), Nutrition and Dietetics (149 citations), Orthopedics and Sports Medicine (77 citations) and Obstetrics and Gynecology (55 citations). Eva Parisi has collaborated with scholars based in Spain, United States and Australia. Frequent co-authors include Ana Cardus Figueras, José Manuel Valdivielso, Elvira Fernández, Sara Panizo, Martí Aldea, Elvira Fernández, Carme Gallego, Petya Valcheva, Anabel Sorolla and Maria Alba Sorolla. Their work appears in journals such as Cancers, International Journal of Molecular Sciences, American Journal of Physiology-Cell Physiology, The Journal of Cell Biology and Journal of Hypertension.
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.