Javier Mendoza‐Revilla

2.2k total citations · 1 hit paper
9 papers, 267 citations indexed

About

Javier Mendoza‐Revilla is a scholar working on Genetics, Molecular Biology and Pharmacology. According to data from OpenAlex, Javier Mendoza‐Revilla has authored 9 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 4 papers in Molecular Biology and 1 paper in Pharmacology. Recurrent topics in Javier Mendoza‐Revilla's work include Genetic diversity and population structure (3 papers), Forensic and Genetic Research (3 papers) and Nutrition, Genetics, and Disease (2 papers). Javier Mendoza‐Revilla is often cited by papers focused on Genetic diversity and population structure (3 papers), Forensic and Genetic Research (3 papers) and Nutrition, Genetics, and Disease (2 papers). Javier Mendoza‐Revilla collaborates with scholars based in United Kingdom, United States and Peru. Javier Mendoza‐Revilla's co-authors include Kaustubh Adhikari, Andrés Ruiz‐Linares, Macarena Fuentes‐Guajardo, Juan Camilo Chacón-Duque, Karim Beguir, Bernardo P. de Almeida, Evan Trop, Thomas Pierrot, Marcin J. Skwark and Nicolás López Carranza and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Methods and Current Biology.

In The Last Decade

Javier Mendoza‐Revilla

8 papers receiving 263 citations

Hit Papers

Nucleotide Transformer: b... 2024 2026 2024 25 50 75

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Javier Mendoza‐Revilla United Kingdom 6 113 94 22 22 18 9 267
Derek E. Kelly United States 6 78 0.7× 91 1.0× 13 0.6× 22 1.0× 23 1.3× 7 202
María Saiz Spain 10 126 1.1× 119 1.3× 7 0.3× 8 0.4× 49 2.7× 30 262
Dominic Nelson Canada 5 149 1.3× 46 0.5× 6 0.3× 5 0.2× 6 0.3× 6 215
Sara Mathieson United States 5 129 1.1× 66 0.7× 21 1.0× 5 0.2× 4 0.2× 6 191
Susan Pope United Kingdom 7 136 1.2× 135 1.4× 29 1.3× 13 0.6× 6 0.3× 18 228
Neil Thomas United Kingdom 6 79 0.7× 79 0.8× 5 0.2× 20 0.9× 4 0.2× 9 157
Martin Tříska United States 8 46 0.4× 93 1.0× 5 0.2× 28 1.3× 13 0.7× 8 163
Hannah Kelly New Zealand 11 244 2.2× 172 1.8× 52 2.4× 19 0.9× 8 0.4× 31 304
Ron Hübler Germany 4 37 0.3× 55 0.6× 20 0.9× 6 0.3× 11 0.6× 4 149
Zhilin Ning China 7 110 1.0× 75 0.8× 2 0.1× 11 0.5× 14 0.8× 11 173

Countries citing papers authored by Javier Mendoza‐Revilla

Since Specialization
Citations

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

Fields of papers citing papers by Javier Mendoza‐Revilla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Mendoza‐Revilla

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

All Works

9 of 9 papers shown
1.
Almeida, Bernardo P. de, Hugo Dalla-Torre, Guillaume Richard, et al.. (2025). Annotating the genome at single-nucleotide resolution with DNA foundation models. Nature Methods. 22(11). 2301–2315.
2.
Dalla-Torre, Hugo, Javier Mendoza‐Revilla, Nicolás López Carranza, et al.. (2024). Nucleotide Transformer: building and evaluating robust foundation models for human genomics. Nature Methods. 22(2). 287–297. 95 indexed citations breakdown →
3.
Mendoza‐Revilla, Javier, Evan Trop, Maša Roller, et al.. (2024). A foundational large language model for edible plant genomes. Communications Biology. 7(1). 835–835. 34 indexed citations
4.
Arauna, Lara R., Jacob Bergstedt, Jérémy Choin, et al.. (2022). The genomic landscape of contemporary western Remote Oceanians. Current Biology. 32(21). 4565–4575.e6. 11 indexed citations
5.
Montalva, Nicolás, Kaustubh Adhikari, Anke Liebert, et al.. (2018). Adaptation to milking agropastoralism in Chilean goat herders and nutritional benefit of lactase persistence. Annals of Human Genetics. 83(1). 11–22. 7 indexed citations
6.
Dorp, Lucy van, Sara Lowes, Jonathan Weigel, et al.. (2018). Genetic legacy of state centralization in the Kuba Kingdom of the Democratic Republic of the Congo. Proceedings of the National Academy of Sciences. 116(2). 593–598. 5 indexed citations
7.
Arauna, Lara R., Javier Mendoza‐Revilla, Hassan Izaabel, et al.. (2016). Recent historical migrations have shaped the gene pool of Arabs and Berbers in North Africa. Molecular Biology and Evolution. 34(2). msw218–msw218. 57 indexed citations
8.
Adhikari, Kaustubh, Javier Mendoza‐Revilla, Juan Camilo Chacón-Duque, Macarena Fuentes‐Guajardo, & Andrés Ruiz‐Linares. (2016). Admixture in Latin America. Current Opinion in Genetics & Development. 41. 106–114. 57 indexed citations
9.
Mendoza‐Revilla, Javier. (2012). Aportes de la filogenética a la investigación médica.. Revista Médica Herediana. 23(2). 119–119. 1 indexed citations

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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