René J. Herrera

8.1k total citations
170 papers, 4.5k citations indexed

About

René J. Herrera is a scholar working on Genetics, Molecular Biology and Archeology. According to data from OpenAlex, René J. Herrera has authored 170 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 128 papers in Genetics, 74 papers in Molecular Biology and 36 papers in Archeology. Recurrent topics in René J. Herrera's work include Forensic and Genetic Research (118 papers), Genetic diversity and population structure (63 papers) and Forensic Anthropology and Bioarchaeology Studies (35 papers). René J. Herrera is often cited by papers focused on Forensic and Genetic Research (118 papers), Genetic diversity and population structure (63 papers) and Forensic Anthropology and Bioarchaeology Studies (35 papers). René J. Herrera collaborates with scholars based in United States, Spain and Russia. René J. Herrera's co-authors include Diane J. Rowold, María Regueiro, Gabriel E. Novick, Tenzin Gayden, Peter A. Underhill, Alicia M. Cadenas, Mark A. Batzer, Lev A. Zhivotovsky, Mark Stoneking and Prescott L. Deininger and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.

In The Last Decade

René J. Herrera

168 papers receiving 4.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
René J. Herrera United States	34	3.1k	1.7k	759	590	230	170	4.5k
Scott R. Woodward United States	31	1.8k 0.6×	1.8k 1.1×	484 0.6×	141 0.2×	352 1.5×	65	4.4k
Lalji Singh India	42	3.9k 1.3×	2.9k 1.7×	567 0.7×	667 1.1×	174 0.8×	182	7.0k
Anne C. Stone United States	32	2.9k 1.0×	1.7k 1.0×	1.1k 1.4×	544 0.9×	671 2.9×	96	5.1k
George H. Perry United States	33	3.1k 1.0×	2.2k 1.3×	226 0.3×	1.1k 1.9×	315 1.4×	90	5.4k
Bing Su China	41	3.1k 1.0×	2.0k 1.2×	719 0.9×	274 0.5×	281 1.2×	174	5.3k
Benjamin Vernot United States	20	1.3k 0.4×	1.4k 0.8×	614 0.8×	328 0.6×	388 1.7×	26	2.9k
W. Scott Watkins United States	40	2.9k 0.9×	2.5k 1.5×	261 0.3×	851 1.4×	111 0.5×	78	5.2k
Francesc Calafell Spain	54	5.5k 1.8×	2.1k 1.3×	1.3k 1.8×	288 0.5×	391 1.7×	208	8.2k
Mark A. Jobling United Kingdom	49	6.3k 2.1×	3.0k 1.8×	829 1.1×	755 1.3×	223 1.0×	137	7.8k
Peter A. Underhill United States	51	7.0k 2.3×	2.0k 1.2×	2.1k 2.8×	287 0.5×	703 3.1×	102	9.1k

Countries citing papers authored by René J. Herrera

Since Specialization

Citations

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

Fields of papers citing papers by René J. Herrera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by René J. Herrera. 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 René J. Herrera. The network helps show where René J. Herrera may publish in the future.

Co-authorship network of co-authors of René J. Herrera

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

All Works

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20 of 20 papers shown

Larena, Maximilian, Ananya Chowdhury, Mait Metspalu, et al.. (2025). Genetic origins of the Kiritimati population from central-eastern Micronesia. Genome Biology and Evolution. 17(3).

Luis, Javier Rodríguez, et al.. (2024). Delineating the dispersal of Y-chromosome sub-haplogroup O2a2b-P164 among Austronesian-speaking populations. Scientific Reports. 14(1). 2066–2066. 1 indexed citations

Luis, Javier Rodríguez, Leire Palencia-Madrid, Miguel Á. Alfonso‐Sánchez, et al.. (2023). On the Y chromosome of Chennai, Tamil Nadu and the Indian subcontinent. Gene. 859. 147175–147175. 1 indexed citations

Montano, Giorgia, et al.. (2022). Identificación de bacterias ácido lácticas en quesos artesanales de Baja California, México, por secuenciación del gen ARNr 16S. Archivos de Zootecnia. 71(274). 96–101. 1 indexed citations

Luis, Javier Rodríguez, et al.. (2021). The Y chromosome of autochthonous Basque populations and the Bronze Age replacement. Scientific Reports. 11(1). 5607–5607.

Rowold, Diane J., Shilpa Chennakrishnaiah, Tenzin Gayden, et al.. (2020). The Y-chromosome of the Soliga, an ancient forest-dwelling tribe of South India. Gene. 763. 100026–100026. 2 indexed citations

Luis, Javier Rodríguez, et al.. (2017). Taino and African maternal heritage in the Greater Antilles. Gene. 637. 33–40. 6 indexed citations

Garcia‐Bertrand, Ralph, Tanya M. Simms, Alicia M. Cadenas, & René J. Herrera. (2013). United Arab Emirates: Phylogenetic relationships and ancestral populations. Gene. 533(1). 411–419. 16 indexed citations

Gayden, Tenzin, et al.. (2011). Y-STR profiling in two Afghanistan populations. Legal Medicine. 13(2). 103–108. 16 indexed citations

10.

Herrera, René J., et al.. (2006). Ancient retroviral insertions among human populations. Journal of Human Genetics. 51(4). 353–362. 9 indexed citations

11.

Agrawal, Suraksha, et al.. (2005). YAP, signature of an African-Middle Eastern migration into northern India. Current Science. 88(12). 1977–1980. 22 indexed citations

12.

Montealegre, Federico, et al.. (2005). Molecular identification of pathogenic house dust mites using 12S rRNA sequences. Electrophoresis. 26(15). 2927–2934. 14 indexed citations

13.

Fernández, I., Dolors Vidal, N. O. Bianchi, et al.. (2005). Phylogenetic information in polymorphic L1 and Alu insertions from East Asians and Native American populations. American Journal of Physical Anthropology. 128(1). 171–184. 14 indexed citations

14.

Rowold, Diane J., et al.. (2002). Multiple forms of U2 snRNA coexist in the silk moth Bombyx mori. Insect Molecular Biology. 11(1). 105–114. 15 indexed citations

15.

Pancorbo, Marian M. de, et al.. (2001). The Basques according to polymorphic Alu insertions. Human Genetics. 109(2). 224–233. 41 indexed citations

16.

Novick, Gabriel E., Juan J. Yunis, E.J. Yunis, et al.. (1998). Polymorphic Alu insertions and the Asian origin of Native American populations.. PubMed. 70(1). 23–39. 95 indexed citations

17.

Nilsson, Christel, Min Jiang, Kim Pettersson, et al.. (1998). Determination of a common genetic variant of luteinizing hormone using DNA hybridization and immunoassays. Clinical Endocrinology. 49(3). 369–376. 43 indexed citations

18.

Herrera, René J., et al.. (1998). Multiplex polymerase chain reaction of Alu polymorphic insertions. Electrophoresis. 19(14). 2373–2379. 13 indexed citations

19.

Gao, Guangtu & René J. Herrera. (1996). Enrichment of middle repetitive element Bm-1 transcripts in translationally active RNA fractions of the silkmoth, Bombyx mori. Genetica. 97(2). 173–182. 3 indexed citations

20.

Batzer, Mark A., et al.. (1991). Amplification dynamics of human-specific (HS) alu family members. Nucleic Acids Research. 19(13). 3619–3623. 102 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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