Eva Parisi
Impact in
- Nephrology top 2%
- Parathyroid Disorders and Treatments
-
- Vitamin D Research Studies
Papers in
-
- CRISPR and Genetic Engineering 3
- Ubiquitin and proteasome pathways 2
-
- Vitamin D Research Studies 7
- Co-authors
- José Manuel Valdivielso (8 shared papers)Elvira Fernández (5 shared papers)Sara Panizo (5 shared papers)Martí Aldea (7 shared papers)Carme Gallego (4 shared papers)Petya Valcheva (4 shared papers)Ana Cardus Figueras (2 shared papers)Maria Alba Sorolla (13 shared papers)
- Journals
- Cancers (6 papers)International Journal of Molecular Sciences (3 papers)American Journal of Physiology-Cell Physiology (2 papers)Animals (1 paper)Molecular Cell (1 paper)
- Partner nations
- SpainUnited StatesAustralia
In The Last Decade
Eva Parisi
32 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 91
- Nephrology 243
- Pathology and Forensic Medicine 329
- Nutrition and Dietetics 107
- Orthopedics and Sports Medicine 53
- Molecular Biology 413
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-authors
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
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 201 | |
| 2 | 2006 | 158 | |
| 3 | 2007 | 150 | |
| 4 | 2009 | 64 | |
| 5 | 2021 | 48 | |
| 6 | 2014 | 46 | |
| 7 | 2003 | 44 | |
| 8 | 2014 | 42 | |
| 9 | 2003 | 39 | |
| 10 | 2011 | 38 | |
| 11 | 2020 | 38 | |
| 12 | 2007 | 31 | |
| 13 | 2021 | 29 | |
| 14 | 2020 | 22 | |
| 15 | 2009 | 21 | |
| 16 | 2018 | 21 | |
| 17 | 2022 | 19 | |
| 18 | 2010 | 18 | |
| 19 | 2008 | 17 | |
| 20 | 2024 | 16 |
About Eva Parisi
Eva Parisi is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Nephrology, Pulmonary and Respiratory Medicine and Oncology, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Vitamin D Research Studies (7 papers), Amino Acid Enzymes and Metabolism (4 papers), Microtubule and mitosis dynamics (3 papers), CRISPR and Genetic Engineering (3 papers), Parathyroid Disorders and Treatments (3 papers), Medical Imaging and Pathology Studies (2 papers), Ubiquitin and proteasome pathways (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Nephrology (243 citations), Pathology and Forensic Medicine (329 citations), Nutrition and Dietetics (107 citations), Orthopedics and Sports Medicine (53 citations) and Molecular Biology (413 citations). Eva Parisi has collaborated with scholars based in Spain, United States and Australia. Frequent co-authors include José Manuel Valdivielso, Elvira Fernández, Sara Panizo, Martí Aldea, Elvira Fernández, Carme Gallego, Petya Valcheva, Ana Cardus Figueras, Maria Alba Sorolla and Anabel Sorolla. Their work appears in journals such as Cancers, International Journal of Molecular Sciences, American Journal of Physiology-Cell Physiology, Animals and Molecular Cell.
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.