Javier Peña-Dı́az

32 total papers · 2.2k total citations
29 papers, 1.6k citations indexed

About

Javier Peña-Dı́az is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Javier Peña-Dı́az has authored 29 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 8 papers in Pathology and Forensic Medicine and 6 papers in Cancer Research. Recurrent topics in Javier Peña-Dı́az's work include DNA Repair Mechanisms (17 papers), Genetic factors in colorectal cancer (7 papers) and Plant biochemistry and biosynthesis (4 papers). Javier Peña-Dı́az is often cited by papers focused on DNA Repair Mechanisms (17 papers), Genetic factors in colorectal cancer (7 papers) and Plant biochemistry and biosynthesis (4 papers). Javier Peña-Dı́az collaborates with scholars based in Norway, Switzerland and Spain. Javier Peña-Dı́az's co-authors include Hans E. Krokan, Marit Otterlei, Geir Slupphaug, Bodil Kavli, Finn Drabløs, Josef Jiricny, Per Arne, Emadoldin Feyzi, Marit S Bratlie and Mansour Akbari and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The EMBO Journal.

In The Last Decade

Javier Peña-Dı́az

29 papers receiving 1.6k 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 Peña-Dı́az 1.3k 267 254 236 165 29 1.6k
Antonio E. Vidal 1.6k 1.2× 441 1.7× 321 1.3× 136 0.6× 97 0.6× 32 1.7k
Wufang Fan 1.1k 0.9× 312 1.2× 402 1.6× 86 0.4× 109 0.7× 28 1.6k
Alejandra Raimondi 1.5k 1.2× 125 0.5× 208 0.8× 196 0.8× 147 0.9× 27 1.9k
Per Arne 1.9k 1.5× 401 1.5× 304 1.2× 115 0.5× 118 0.7× 28 2.3k
Eleonora Parlanti 1.6k 1.2× 533 2.0× 282 1.1× 101 0.4× 210 1.3× 26 1.8k
Russell Bell 1.1k 0.9× 140 0.5× 197 0.8× 96 0.4× 106 0.6× 29 1.7k
Rinku Jain 1.3k 1.0× 155 0.6× 172 0.7× 71 0.3× 93 0.6× 40 1.7k
Alexey Stukalov 1.5k 1.2× 251 0.9× 321 1.3× 184 0.8× 56 0.3× 36 2.1k
Victoria J. Findlay 1.6k 1.2× 434 1.6× 361 1.4× 96 0.4× 97 0.6× 50 2.1k
Nimrat Chatterjee 1.3k 1.0× 298 1.1× 407 1.6× 75 0.3× 101 0.6× 19 1.7k

Countries citing papers authored by Javier Peña-Dı́az

Since Specialization
Citations

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

Fields of papers citing papers by Javier Peña-Dı́az

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Peña-Dı́az

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Peña-Dı́az. A scholar is included among the top collaborators of Javier Peña-Dı́az 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 Peña-Dı́az. Javier Peña-Dı́az 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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