Silvio E. Perea

1.3k citations
44 papers · 776 · h-index 17

Impact in

Papers in

    • Ubiquitin and proteasome pathways 5
    • Protein Kinase Regulation and GTPase Signaling 4
    • PI3K/AKT/mTOR signaling in cancer 4
    • Cancer-related Molecular Pathways 7
    • Peptidase Inhibition and Analysis 5

Silvio E. Perea

44 papers receiving 762 citations

Peers

Silvio E. Perea
Comparison fields: 5 of 72
  • Oncology 195
  • Immunology 154
  • Molecular Biology 503
  • Hematology 59
  • Cancer Research 66
Replace Rajesh Vij with:
Rajesh Vij United States
Tomoko Smyth United Kingdom
Yasser Perera Cuba
Norman Kairies Germany
Ciara Ryan Ireland
Rommel I. Tawatao United States
Mitchell E. Reff United States
HG Drexler Germany
Winfried Kammer Germany
Joseph Bekisz United States
Silvio E. Perea relative to Rajesh Vij United States Rajesh Vij's profile →
Citations per field
00.5×1.5×
Rajesh Vij · 1×
Citations per year

Countries citing papers authored by Silvio E. Perea

Since Specialization
Citations

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

Fields of papers citing papers by Silvio E. Perea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Silvio E. Perea. 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 Silvio E. Perea. The network helps show where Silvio E. Perea may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004116
2 200057
3 200951
4 200947
5 200747
6 201840
7 201635
8 201331
9 200324
10 202024
11 201423
12 201222
13 201022
14 201119
15 202017
16 201417
17 200017
18 202114
19 201812
20 201712

About Silvio E. Perea

Silvio E. Perea is a scholar working on Molecular Biology, Oncology, Immunology, Epidemiology and Spectroscopy, having authored 44 papers that have together received 776 indexed citations. Recurring topics across this work include interferon and immune responses (7 papers), Cancer-related Molecular Pathways (7 papers), Ubiquitin and proteasome pathways (5 papers), Cervical Cancer and HPV Research (5 papers), Peptidase Inhibition and Analysis (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Immunotherapy and Immune Responses (4 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). The work is most often cited by research in Oncology (195 citations), Immunology (154 citations), Molecular Biology (503 citations), Hematology (59 citations) and Cancer Research (66 citations). Silvio E. Perea has collaborated with scholars based in Cuba, Argentina and Spain. Frequent co-authors include Yasser Perera, Daniel F. Alonso, Hernán G. Fariña, Boris Acevedo, Paola Massimi, Lawrence Banks, Osvaldo Reyes, Alicia Santos, Roberto Gómez and Carmen Valenzuela. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Interferon & Cytokine Research, Journal of Peptide Science, Viruses and Biomedicines.

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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