Javier Pérez‐Peña

51 total papers · 558 total citations
23 papers, 383 citations indexed

About

Javier Pérez‐Peña is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Javier Pérez‐Peña has authored 23 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Oncology and 4 papers in Hematology. Recurrent topics in Javier Pérez‐Peña's work include Protein Degradation and Inhibitors (9 papers), Histone Deacetylase Inhibitors Research (6 papers) and Ubiquitin and proteasome pathways (5 papers). Javier Pérez‐Peña is often cited by papers focused on Protein Degradation and Inhibitors (9 papers), Histone Deacetylase Inhibitors Research (6 papers) and Ubiquitin and proteasome pathways (5 papers). Javier Pérez‐Peña collaborates with scholars based in Spain, Hungary and Canada. Javier Pérez‐Peña's co-authors include Atanasio Pandiella, Alberto Ocaña, Verónica Corrales‐Sánchez, Eitan Amir, Cristina Nieto‐Jiménez, Balázs Győrffy, Eva María Galán‐Moya, María del Mar Noblejas‐López, Juan Carlos Montero and Gemma Serrano‐Heras and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Javier Pérez‐Peña

23 papers receiving 379 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Javier Pérez‐Peña 244 113 80 56 48 23 383
Lin‐wen Wu 222 0.9× 86 0.8× 81 1.0× 68 1.2× 30 0.6× 18 377
C. P. Eng 266 1.1× 84 0.7× 45 0.6× 39 0.7× 42 0.9× 26 421
Marilena Tauro 212 0.9× 201 1.8× 172 2.1× 30 0.5× 58 1.2× 22 433
Ada Pesapane 208 0.9× 80 0.7× 101 1.3× 27 0.5× 15 0.3× 16 382
Yasunobu Kuraishi 240 1.0× 138 1.2× 67 0.8× 68 1.2× 21 0.4× 16 429
Ryan T. Bishop 209 0.9× 144 1.3× 87 1.1× 58 1.0× 11 0.2× 24 361
Miaorong She 254 1.0× 118 1.0× 48 0.6× 22 0.4× 18 0.4× 15 390
Enrique Álvarez 234 1.0× 196 1.7× 68 0.8× 64 1.1× 17 0.4× 13 399
Andrew Hudson 322 1.3× 96 0.8× 68 0.8× 53 0.9× 22 0.5× 19 433
Thorsten Schaefer 241 1.0× 92 0.8× 85 1.1× 41 0.7× 70 1.5× 18 403

Countries citing papers authored by Javier Pérez‐Peña

Since Specialization
Citations

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

Fields of papers citing papers by Javier Pérez‐Peña

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier Pérez‐Peña. 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 Javier Pérez‐Peña. The network helps show where Javier Pérez‐Peña may publish in the future.

Co-authorship network of co-authors of Javier Pérez‐Peña

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Pérez‐Peña. A scholar is included among the top collaborators of Javier Pérez‐Peña 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 Javier Pérez‐Peña. Javier Pérez‐Peña is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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