Valentina Perissi

6.4k citations
37 papers · 5.0k indexed · 2 hit papers · h-index 22
    • Mitochondrial Function and Pathology 9
    • Ubiquitin and proteasome pathways 8
    • Genomics and Chromatin Dynamics 6
    • RNA Research and Splicing 5
    • RNA modifications and cancer 4
    • NF-κB Signaling Pathways 6
  • Genetics top 2%
    • Estrogen and related hormone effects 4
  • Immunology top 5%
  • Oncology top 5%
    • Adipose Tissue and Metabolism 11

Valentina Perissi

37 papers receiving 5.0k citations

Hit Papers

A Topoisomerase IIß-Mediated dsDNA Break Required for Reg...69220052026201220192505007501000

Peers

Valentina Perissi
Comparison fields: 5 of 107
  • Molecular Biology 3.9k
  • Cancer Research 597
  • Genetics 1.1k
  • Immunology 690
  • Oncology 751
Replace Hong-Wu Chen with:
Hong-Wu Chen United States
Ira G. Schulman United States
Didier Auboeuf France
Frances M. Sladek United States
Tung O. Chan United States
Carmé Caelles Spain
Rosana Kapeller United States
Andrew N. Billin United States
Knut R. Steffensen Sweden
Maofu Fu United States
Valentina Perissi relative to Hong-Wu Chen United States Hong-Wu Chen's profile →
Citations per field
00.5×1.5×
Hong-Wu Chen · 1×
Citations per year

Countries citing papers authored by Valentina Perissi

Since Specialization
Citations

This map shows the geographic impact of Valentina Perissi'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 Valentina Perissi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentina Perissi more than expected).

Fields of papers citing papers by Valentina Perissi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Valentina Perissi. 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 Valentina Perissi. The network helps show where Valentina Perissi may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Valentina Perissi, 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 Valentina Perissi Line = papers co-authored together Valentina Perissi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 202310
4 20238
5 202114
6 202115
7 202034
8 202061
9 20198
10 201894
11 201780
12 201619
13 201517
14 201446
15 20138
16 2010415
17 200731
18
A SUMOylation-dependent pathway mediates transrepression of inflammatory response genes by PPAR-γbreakdown →
20051030
19 2004458
20 1999423

About Valentina Perissi

Valentina Perissi is a scholar working on Aging, Cancer Research and Molecular Biology, having authored 37 papers that have together received 5.0k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (11 papers), Mitochondrial Function and Pathology (9 papers), Ubiquitin and proteasome pathways (8 papers), NF-κB Signaling Pathways (6 papers), Genomics and Chromatin Dynamics (6 papers), RNA Research and Splicing (5 papers), RNA modifications and cancer (4 papers) and Estrogen and related hormone effects (4 papers). The work is most often cited by research in Molecular Biology (3.9k citations), Cancer Research (597 citations) and Genetics (1.1k citations). Valentina Perissi has collaborated with scholars based in United States, Italy and Brazil. Frequent co-authors include Michael G. Rosenfeld, Christopher K. Glass, David W. Rose, Sumito Ogawa, Kristen Jepsen, Gabriel Pascual, Amir Gamliel, Andrew C. Li, Timothy M. Willson and Bong‐Gun Ju.

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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