Eva Parisi

33 papers receiving 1.1k citations

Peers

Eva Parisi
Comparison fields: 5 of 94
  • Nephrology 244
  • Pathology and Forensic Medicine 347
  • Nutrition and Dietetics 116
  • Orthopedics and Sports Medicine 60
  • Molecular Biology 425
Replace Jeremy Turner with:
Jeremy Turner United Kingdom
Seonghun Kim South Korea
Li-Wen Lai United States
Dennis Warner United States
Sylvie Giroux Canada
D B Thompson United States
Sung Won Lee South Korea
O. Alvarez-Garcia United States
Liron Walsh United States
Eva Parisi relative to Jeremy Turner United Kingdom Jeremy Turner's profile →
Citations per field
00.5×6.9×
Jeremy Turner · 1×
Citations per year

Countries citing papers authored by Eva Parisi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Eva Parisi Line = papers co-authored together Eva Parisi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009204
2 2006168
3 2007150
4 200965
5 201451
6 202148
7 200346
8 201442
9 200341
10 201139
11 202039
12 200731
13 202130
14 200922
15 202022
16 201821
17 202221
18 201019
19 200818
20 202416

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 1.2k 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 (244 citations), Pathology and Forensic Medicine (347 citations), Nutrition and Dietetics (116 citations), Orthopedics and Sports Medicine (60 citations) and Molecular Biology (425 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, Elvira Fernández, Martí Aldea, Carme Gallego, Ana Cardus Figueras, 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, Journal of the American Society of Nephrology and Nature Protocols.

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.

Explore authors with similar magnitude of impact