Eva Parisi

1.4k total citations
34 papers, 1.1k citations indexed

About

Eva Parisi is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Eva Parisi has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Pathology and Forensic Medicine and 5 papers in Oncology. Recurrent topics in Eva Parisi's work include Vitamin D Research Studies (8 papers), Amino Acid Enzymes and Metabolism (4 papers) and Parathyroid Disorders and Treatments (3 papers). Eva Parisi is often cited by papers focused on Vitamin D Research Studies (8 papers), Amino Acid Enzymes and Metabolism (4 papers) and Parathyroid Disorders and Treatments (3 papers). Eva Parisi collaborates with scholars based in Spain, United States and Australia. Eva Parisi's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and The EMBO Journal.

In The Last Decade

Eva Parisi

31 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eva Parisi Spain 18 418 361 255 149 145 34 1.1k
Li-Wen Lai United States 15 401 1.0× 114 0.3× 201 0.8× 91 0.6× 76 0.5× 30 916
Julia Bársony United States 13 377 0.9× 410 1.1× 57 0.2× 95 0.6× 130 0.9× 19 973
Russell J. Wiese United States 14 1.2k 2.8× 251 0.7× 77 0.3× 61 0.4× 84 0.6× 26 2.0k
Berardino Porfirio Italy 19 718 1.7× 89 0.2× 89 0.3× 74 0.5× 175 1.2× 69 1.3k
Berta Martins da Silva Portugal 20 320 0.8× 257 0.7× 40 0.2× 134 0.9× 105 0.7× 57 1.3k
Md. Joynal Abedin United States 16 746 1.8× 109 0.3× 80 0.3× 59 0.4× 169 1.2× 29 1.6k
Jeremy Turner United Kingdom 20 939 2.2× 55 0.2× 132 0.5× 44 0.3× 205 1.4× 44 1.6k
Liron Walsh United States 14 576 1.4× 80 0.2× 269 1.1× 60 0.4× 226 1.6× 24 1.5k
Chou‐Long Huang United States 18 578 1.4× 65 0.2× 294 1.2× 182 1.2× 65 0.4× 40 1.2k

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-authorship network of co-authors of Eva Parisi

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Parisi. A scholar is included among the top collaborators of Eva Parisi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eva Parisi. Eva Parisi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sorolla, Maria Alba, Eva Parisi, Anabel Sorolla, et al.. (2025). Comprehensive immunophenotyping of gastric adenocarcinoma identifies an inflamed class of tumors amenable to immunotherapies. Journal for ImmunoTherapy of Cancer. 13(3). e010024–e010024. 2 indexed citations
2.
Sorolla, Maria Alba, et al.. (2024). Secreted Phospholipases A2: Drivers of Inflammation and Cancer. International Journal of Molecular Sciences. 25(22). 12408–12408. 10 indexed citations
3.
Sorolla, Maria Alba, Eva Parisi, Anabel Sorolla, et al.. (2023). PD-2 Comprehensive immunophenotyping of gastric adenocarcinoma identifies an inflamed class of tumors amenable to immunotherapies. Annals of Oncology. 34. S1–S1.
4.
Sorolla, Maria Alba, et al.. (2023). Applications of CRISPR Technology to Breast Cancer and Triple Negative Breast Cancer Research. Cancers. 15(17). 4364–4364. 9 indexed citations
5.
Sorolla, Maria Alba, et al.. (2023). MicroRNAs Present in Malignant Pleural Fluid Increase the Migration of Normal Mesothelial Cells In Vitro and May Help Discriminate between Benign and Malignant Effusions. International Journal of Molecular Sciences. 24(18). 14022–14022. 3 indexed citations
6.
Sorolla, Maria Alba, et al.. (2022). Are Transcription Factors Plausible Oncotargets for Triple Negative Breast Cancers?. Cancers. 14(5). 1101–1101. 10 indexed citations
7.
Sorolla, Anabel, et al.. (2021). Applications of CRISPR technology to lung cancer research. European Respiratory Journal. 59(1). 2102610–2102610. 6 indexed citations
8.
Sorolla, Maria Alba, Anabel Sorolla, Eva Parisi, Antonieta Salud, & José M. Porcel. (2021). Diving into the Pleural Fluid: Liquid Biopsy for Metastatic Malignant Pleural Effusions. Cancers. 13(11). 2798–2798. 28 indexed citations
9.
Yahya, Galal, et al.. (2020). Stress granules display bistable dynamics modulated by Cdk. The Journal of Cell Biology. 220(3). 8 indexed citations
11.
Parisi, Eva, et al.. (2018). Cdc48/p97 segregase is modulated by cyclin‐dependent kinase to determine cyclin fate during G1 progression. The EMBO Journal. 37(16). 20 indexed citations
12.
Moreno, David F., et al.. (2018). Centromeric signaling proteins boost G1 cyclin degradation and modulate cell size in budding yeast. PLoS Biology. 16(8). e2005388–e2005388. 1 indexed citations
13.
Yahya, Galal, et al.. (2014). A Whi7-Anchored Loop Controls the G1 Cdk-Cyclin Complex at Start. Molecular Cell. 53(1). 115–126. 42 indexed citations
14.
Valcheva, Petya, Ana Cardus Figueras, Sara Panizo, et al.. (2014). Lack of vitamin D receptor causes stress-induced premature senescence in vascular smooth muscle cells through enhanced local angiotensin-II signals. Atherosclerosis. 235(2). 247–255. 44 indexed citations
15.
Božić, Milica, Johan de Rooij, Eva Parisi, et al.. (2011). Glutamatergic Signaling Maintains the Epithelial Phenotype of Proximal Tubular Cells. Journal of the American Society of Nephrology. 22(6). 1099–1111. 38 indexed citations
16.
Battaglia, Valentina, Eva Parisi, Mark Lortie, et al.. (2009). The arginine metabolite agmatine protects mitochondrial function and confers resistance to cellular apoptosis. American Journal of Physiology-Cell Physiology. 296(6). C1411–C1419. 63 indexed citations
17.
Parisi, Eva, Mercè Ibarz, Sara Panizo, et al.. (2009). N-methyl-d-aspartate receptors are expressed in rat parathyroid gland and regulate PTH secretion. American Journal of Physiology-Renal Physiology. 296(6). F1291–F1296. 21 indexed citations
18.
Parisi, Eva, Josep Maria Reñé, Ana Cardus Figueras, et al.. (2008). Vitamin D receptor levels in colorectal cancer. The Journal of Steroid Biochemistry and Molecular Biology. 111(1-2). 87–90. 17 indexed citations
19.
Isome, Masato, Mark Lortie, Yasuko Murakami, et al.. (2007). The antiproliferative effects of agmatine correlate with the rate of cellular proliferation. American Journal of Physiology-Cell Physiology. 293(2). C705–C711. 31 indexed citations
20.

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.

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