Paula Pérez-Rubio

20 total papers · 405 total citations
6 papers, 244 citations indexed

About

Paula Pérez-Rubio is a scholar working on Nuclear and High Energy Physics, Molecular Biology and Cancer Research. According to data from OpenAlex, Paula Pérez-Rubio has authored 6 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Nuclear and High Energy Physics, 2 papers in Molecular Biology and 2 papers in Cancer Research. Recurrent topics in Paula Pérez-Rubio's work include Quantum Chromodynamics and Particle Interactions (4 papers), Particle physics theoretical and experimental studies (4 papers) and High-Energy Particle Collisions Research (4 papers). Paula Pérez-Rubio is often cited by papers focused on Quantum Chromodynamics and Particle Interactions (4 papers), Particle physics theoretical and experimental studies (4 papers) and High-Energy Particle Collisions Research (4 papers). Paula Pérez-Rubio collaborates with scholars based in Germany, Netherlands and India. Paula Pérez-Rubio's co-authors include Sara Collins, Gunnar Bali, Julia C. Engelmann, M. Göckeler, V. M. Braun, Andreas Schäfer, André Sternbeck, Claudio Lottaz, Rainer W. Schiel and Paul V. Heinrich and has published in prestigious journals such as Nature Communications, BMC Bioinformatics and Journal of Physics Conference Series.

In The Last Decade

Paula Pérez-Rubio

6 papers receiving 240 citations

Author Peers

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

Author Last Decade Papers Cites
Paula Pérez-Rubio 170 44 24 10 9 6 244
S. Schade 209 1.2× 50 1.1× 8 0.3× 10 1.0× 7 0.8× 9 273
A. Schulz 58 0.3× 39 0.9× 27 1.1× 15 1.5× 9 1.0× 6 180
Wanqiu He 43 0.3× 46 1.0× 45 1.9× 6 0.6× 8 0.9× 10 293
J. Junge 48 0.3× 146 3.3× 9 0.4× 6 0.6× 19 2.1× 9 314
T. Terasawa 62 0.4× 55 1.3× 13 0.5× 7 0.7× 8 0.9× 9 138
Gaurav Mendiratta 55 0.3× 77 1.8× 36 1.5× 7 0.7× 32 3.6× 10 172
Thomas Eichhorn 81 0.5× 212 4.8× 3 0.1× 19 1.9× 21 2.3× 11 325
S. Wänninger 23 0.1× 57 1.3× 21 0.9× 21 2.1× 45 5.0× 10 143
Chris J. Frangieh 11 0.1× 113 2.6× 15 0.6× 10 1.0× 10 1.1× 10 174
Xin Wang 15 0.1× 31 0.7× 17 0.7× 30 3.0× 10 1.1× 15 167

Countries citing papers authored by Paula Pérez-Rubio

Since Specialization
Citations

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

Fields of papers citing papers by Paula Pérez-Rubio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paula Pérez-Rubio. 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 Paula Pérez-Rubio. The network helps show where Paula Pérez-Rubio may publish in the future.

Co-authorship network of co-authors of Paula Pérez-Rubio

This figure shows the co-authorship network connecting the top 25 collaborators of Paula Pérez-Rubio. A scholar is included among the top collaborators of Paula Pérez-Rubio 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 Paula Pérez-Rubio. Paula Pérez-Rubio 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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