Hector Baños

535 total citations · 1 hit paper
18 papers, 145 citations indexed

About

Hector Baños is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Hector Baños has authored 18 papers receiving a total of 145 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Genetics and 2 papers in Artificial Intelligence. Recurrent topics in Hector Baños's work include Genomics and Phylogenetic Studies (12 papers), Genetic diversity and population structure (9 papers) and Bayesian Methods and Mixture Models (2 papers). Hector Baños is often cited by papers focused on Genomics and Phylogenetic Studies (12 papers), Genetic diversity and population structure (9 papers) and Bayesian Methods and Mixture Models (2 papers). Hector Baños collaborates with scholars based in United States, Canada and Australia. Hector Baños's co-authors include John A. Rhodes, Elizabeth S. Allman, Jonathan Mitchell, Andrew J. Roger, Edward Susko, Cécile Ané, Bùi Quang Minh, Laura Eme, Sergio A. Muñoz-Gómez and Alastair G. B. Simpson and has published in prestigious journals such as Nature, Bioinformatics and Molecular Biology and Evolution.

In The Last Decade

Hector Baños

16 papers receiving 136 citations

Hit Papers

A robustly rooted tree of eukaryotes reveals their excava... 2025 2026 2025 5 10 15 20
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A robustly rooted tree of eukaryotes reveals their excavate ancestry
    2025 23 citations Laura Eme, Hector Baños et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hector Baños United States 8 105 55 30 23 20 18 145
Clemens Lakner United States 5 128 1.2× 78 1.4× 21 0.7× 59 2.6× 18 0.9× 5 179
Anthony Wilder Wohns United Kingdom 7 119 1.1× 262 4.8× 14 0.5× 31 1.3× 20 1.0× 8 350
Haojing Shao China 6 61 0.6× 44 0.8× 10 0.3× 6 0.3× 24 1.2× 8 115
Bogdan Kirilenko Germany 6 61 0.6× 32 0.6× 31 1.0× 10 0.4× 12 0.6× 7 109
Terry Catapano United States 9 76 0.7× 36 0.7× 48 1.6× 10 0.4× 19 0.9× 16 216
Gregory Wheeler United States 8 104 1.0× 84 1.5× 60 2.0× 7 0.3× 68 3.4× 15 191
Suman Neupane United States 8 114 1.1× 22 0.4× 120 4.0× 14 0.6× 40 2.0× 11 179
Rowan Schley United Kingdom 9 97 0.9× 59 1.1× 153 5.1× 11 0.5× 68 3.4× 15 218
Luke Hayden Ireland 6 60 0.6× 27 0.5× 13 0.4× 19 0.8× 6 0.3× 7 88
Hiba Babiker Germany 6 57 0.5× 110 2.0× 10 0.3× 12 0.5× 41 2.0× 11 165

Countries citing papers authored by Hector Baños

Since Specialization
Citations

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

Fields of papers citing papers by Hector Baños

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hector Baños

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

All Works

18 of 18 papers shown
1.
Baños, Hector, et al.. (2026). How Does Transcription-Associated Mutagenesis Shape tRNA Microevolution?. Genome Biology and Evolution.
2.
Allman, Elizabeth S., et al.. (2025). NANUQ+: A divide-and-conquer approach to network estimation. Algorithms for Molecular Biology. 20(1). 14–14. 3 indexed citations
3.
Baños, Hector, et al.. (2025). Misspecification Strikes: ASTRAL can Mislead in the Presence of Hybridization, even for Non-Anomalous Scenarios. Molecular Biology and Evolution. 42(3).
4.
Allman, Elizabeth S., Cécile Ané, Hector Baños, & John A. Rhodes. (2025). Beyond Level-1: Identifiability of a Class of Galled Tree-Child Networks. Bulletin of Mathematical Biology. 87(11). 166–166. 1 indexed citations
5.
Eme, Laura, Hector Baños, Charley McCarthy, et al.. (2025). A robustly rooted tree of eukaryotes reveals their excavate ancestry. Nature. 640(8060). 974–981. 23 indexed citations breakdown →
6.
Baños, Hector, Thomas K. F. Wong, Edward Susko, et al.. (2024). GTRpmix: A Linked General Time-Reversible Model for Profile Mixture Models. Molecular Biology and Evolution. 41(9). 5 indexed citations
7.
Allman, Elizabeth S., Hector Baños, Jonathan Mitchell, & John A. Rhodes. (2024). TINNiK: inference of the tree of blobs of a species network under the coalescent model. Algorithms for Molecular Biology. 19(1). 23–23. 5 indexed citations
8.
Allman, Elizabeth S., et al.. (2024). Identifiability of Level-1 Species Networks from Gene Tree Quartets. Bulletin of Mathematical Biology. 86(9). 110–110. 8 indexed citations
9.
Rhodes, John A., et al.. (2024). Identifying circular orders for blobs in phylogenetic networks. Advances in Applied Mathematics. 163. 102804–102804. 8 indexed citations
10.
Ané, Cécile, et al.. (2024). Anomalous networks under the multispecies coalescent: theory and prevalence. Journal of Mathematical Biology. 88(3). 29–29. 9 indexed citations
11.
Pyron, R. Alexander, Kyle A. O’Connell, Edward A. Myers, David A. Beamer, & Hector Baños. (2024). Complex Hybridization in a Clade of Polytypic Salamanders (Plethodontidae: Desmognathus ) Uncovered by Estimating Higher-Level Phylogenetic Networks. Systematic Biology. 74(1). 124–140. 2 indexed citations
12.
Baños, Hector, Edward Susko, & Andrew J. Roger. (2023). Is Over-parameterization a Problem for Profile Mixture Models?. Systematic Biology. 73(1). 53–75. 10 indexed citations
13.
Allman, Elizabeth S., Hector Baños, Jonathan Mitchell, & John A. Rhodes. (2022). The tree of blobs of a species network: identifiability under the coalescent. Journal of Mathematical Biology. 86(1). 10–10. 12 indexed citations
14.
Allman, Elizabeth S., Hector Baños, & John A. Rhodes. (2022). Identifiability of species network topologies from genomic sequences using the logDet distance. Journal of Mathematical Biology. 84(5). 35–35. 12 indexed citations
15.
Allman, Elizabeth S., Hector Baños, & John A. Rhodes. (2022). Testing Multispecies Coalescent Simulators Using Summary Statistics. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(2). 1613–1618. 2 indexed citations
16.
Baños, Hector, et al.. (2021). Phylogenetic trees. arXiv (Cornell University). 11(1). 1–7. 1 indexed citations
17.
Rhodes, John A., Hector Baños, Jonathan Mitchell, & Elizabeth S. Allman. (2020). MSCquartets 1.0: quartet methods for species trees and networks under the multispecies coalescent model in R. Bioinformatics. 37(12). 1766–1768. 40 indexed citations
18.
Baños, Hector, et al.. (2018). Dimensions of Group-Based Phylogenetic Mixtures. Bulletin of Mathematical Biology. 81(2). 316–336. 4 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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