Fernando Racimo

14.8k total citations · 2 hit papers
41 papers, 2.7k citations indexed

About

Fernando Racimo is a scholar working on Genetics, Molecular Biology and Paleontology. According to data from OpenAlex, Fernando Racimo has authored 41 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Genetics, 11 papers in Molecular Biology and 4 papers in Paleontology. Recurrent topics in Fernando Racimo's work include Forensic and Genetic Research (11 papers), Genetic diversity and population structure (11 papers) and Genetic Associations and Epidemiology (8 papers). Fernando Racimo is often cited by papers focused on Forensic and Genetic Research (11 papers), Genetic diversity and population structure (11 papers) and Genetic Associations and Epidemiology (8 papers). Fernando Racimo collaborates with scholars based in United States, Denmark and United Kingdom. Fernando Racimo's co-authors include Emilia Huerta‐Sánchez, Rasmus Nielsen, Sriram Sankararaman, Montgomery Slatkin, Davide Marnetto, Jeremy J. Berg, Matteo Fumagalli, Michael Dannemann, Ida Moltke and Thorfinn Sand Korneliussen and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Fernando Racimo

41 papers receiving 2.6k citations

Hit Papers

Evidence for archaic adaptive introgression in humans 2015 2026 2018 2022 2015 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernando Racimo United States 25 1.6k 658 384 342 304 41 2.7k
Luca Pagani Italy 29 1.4k 0.9× 499 0.8× 244 0.6× 420 1.2× 314 1.0× 82 2.4k
Martin Sikora United States 23 1.2k 0.7× 516 0.8× 397 1.0× 339 1.0× 234 0.8× 54 2.3k
Brenna M. Henn United States 31 2.0k 1.3× 710 1.1× 261 0.7× 462 1.4× 361 1.2× 68 3.4k
Alain Froment France 37 1.4k 0.9× 824 1.3× 146 0.4× 353 1.0× 306 1.0× 88 3.8k
Emilia Huerta‐Sánchez United States 22 2.3k 1.5× 925 1.4× 162 0.4× 234 0.7× 189 0.6× 40 3.3k
Óscar Lao Netherlands 32 1.8k 1.1× 1.0k 1.6× 176 0.5× 428 1.3× 126 0.4× 66 3.4k
Himla Soodyall South Africa 29 2.0k 1.3× 876 1.3× 268 0.7× 635 1.9× 442 1.5× 58 3.5k
Sriram Sankararaman United States 31 3.2k 2.0× 1.6k 2.5× 337 0.9× 518 1.5× 541 1.8× 87 5.0k
Francisco Rothhammer Chile 31 1.4k 0.9× 546 0.8× 485 1.3× 694 2.0× 395 1.3× 155 3.3k
Évelyne Heyer France 37 2.6k 1.7× 1.1k 1.7× 174 0.5× 314 0.9× 156 0.5× 147 4.8k

Countries citing papers authored by Fernando Racimo

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Racimo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando Racimo. 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 Fernando Racimo. The network helps show where Fernando Racimo may publish in the future.

Co-authorship network of co-authors of Fernando Racimo

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

All Works

20 of 20 papers shown
1.
Petr, Martin, et al.. (2024). Exploring the effects of ecological parameters on the spatial structure of genetic tree sequences. SHILAP Revista de lepidopterología. 4. 1 indexed citations
2.
Reeve, Andrew Hart, Graham Gower, José Martín Pujolar, et al.. (2023). Population genomics of the island thrush elucidates one of earth’s great archipelagic radiations. Evolution Letters. 7(1). 24–36. 4 indexed citations
3.
Louis, Marié, Petra Korlević, Frederick I. Archer, et al.. (2023). Ancient dolphin genomes reveal rapid repeated adaptation to coastal waters. Nature Communications. 14(1). 4020–4020. 6 indexed citations
4.
Edmunds, Shelley J., Gergely Boza, Fernando Racimo, et al.. (2023). Dealing with dimensionality: the application of machine learning to multi-omics data. Bioinformatics. 39(2). 41 indexed citations
5.
Ramos‐Madrigal, Jazmín, et al.. (2023). PaleoProPhyler: a reproducible pipeline for phylogenetic inference using ancient proteins. SHILAP Revista de lepidopterología. 3. 5 indexed citations
6.
Racimo, Fernando, et al.. (2022). The biospheric emergency calls for scientists to change tactics. eLife. 11. 21 indexed citations
7.
Racimo, Fernando, et al.. (2022). The Role of Life Scientists in the Biospheric Emergency: A Case for Acknowledging Failure and Changing Tactics. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
8.
Cheng, Jade Yu, Aaron J. Stern, Fernando Racimo, & Rasmus Nielsen. (2021). Detecting Selection in Multiple Populations by Modeling Ancestral Admixture Components. Molecular Biology and Evolution. 39(1). 23 indexed citations
9.
Irving-Pease, Evan K., et al.. (2021). Quantitative Human Paleogenetics: What can Ancient DNA Tell us About Complex Trait Evolution?. Frontiers in Genetics. 12. 703541–703541. 16 indexed citations
10.
Racimo, Fernando, Jessie Woodbridge, Ralph Fyfe, et al.. (2020). The spatiotemporal spread of human migrations during the European Holocene. Proceedings of the National Academy of Sciences. 117(16). 8989–9000. 49 indexed citations
11.
Berg, Jeremy J., Arbel Harpak, Nasa Sinnott-Armstrong, et al.. (2019). Reduced signal for polygenic adaptation of height in UK Biobank. eLife. 8. 209 indexed citations
12.
Racimo, Fernando, Jeremy J. Berg, & Joseph K. Pickrell. (2018). Detecting Polygenic Adaptation in Admixture Graphs. Genetics. 208(4). 1565–1584. 74 indexed citations
13.
Theunert, Christoph, Fernando Racimo, & Montgomery Slatkin. (2017). Joint Estimation of Relatedness Coefficients and Allele Frequencies from Ancient Samples. Genetics. 206(2). 1025–1035. 4 indexed citations
14.
Posth, Cosimo, Christoph Wißing, Keiko Kitagawa, et al.. (2017). Deeply divergent archaic mitochondrial genome provides lower time boundary for African gene flow into Neanderthals. Nature Communications. 8(1). 16046–16046. 148 indexed citations
15.
Racimo, Fernando, Gabriel Renaud, & Montgomery Slatkin. (2016). Joint Estimation of Contamination, Error and Demography for Nuclear DNA from Ancient Humans. PLoS Genetics. 12(4). e1005972–e1005972. 34 indexed citations
16.
Racimo, Fernando, Davide Marnetto, & Emilia Huerta‐Sánchez. (2016). Signatures of Archaic Adaptive Introgression in Present-Day Human Populations. Molecular Biology and Evolution. 34(2). msw216–msw216. 127 indexed citations
17.
Racimo, Fernando. (2015). Testing for Ancient Selection Using Cross-population Allele Frequency Differentiation. Genetics. 202(2). 733–750. 66 indexed citations
18.
Fumagalli, Matteo, Ida Moltke, Niels Grarup, et al.. (2015). Greenlandic Inuit show genetic signatures of diet and climate adaptation. Science. 349(6254). 1343–1347. 334 indexed citations breakdown →
19.
Kim, Wook, Fernando Racimo, Jonas Schlüter, Stuart B. Levy, & Kevin R. Foster. (2014). Importance of positioning for microbial evolution. Proceedings of the National Academy of Sciences. 111(16). E1639–47. 114 indexed citations
20.
Marugán‐Lobón, Jesús, Fernando Racimo, Gabe S. Bever, et al.. (2012). Birds have paedomorphic dinosaur skulls. Nature. 487(7406). 223–226. 168 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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