Fábio K. Mendes

6.5k total citations · 1 hit paper
17 papers, 858 citations indexed

About

Fábio K. Mendes is a scholar working on Genetics, Molecular Biology and Paleontology. According to data from OpenAlex, Fábio K. Mendes has authored 17 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 11 papers in Molecular Biology and 4 papers in Paleontology. Recurrent topics in Fábio K. Mendes's work include Genetic diversity and population structure (10 papers), Genomics and Phylogenetic Studies (9 papers) and Evolution and Genetic Dynamics (4 papers). Fábio K. Mendes is often cited by papers focused on Genetic diversity and population structure (10 papers), Genomics and Phylogenetic Studies (9 papers) and Evolution and Genetic Dynamics (4 papers). Fábio K. Mendes collaborates with scholars based in United States, New Zealand and Switzerland. Fábio K. Mendes's co-authors include Matthew W. Hahn, Ben Fulton, Dan Vanderpool, Daniel R. Schrider, Andrew D. Kern, Yoonsoo Hahn, Alexei J. Drummond, Joshua G. Schraiber, Robin Hopkins and Federico Roda and has published in prestigious journals such as Bioinformatics, Genetics and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

Fábio K. Mendes

16 papers receiving 853 citations

Hit Papers

align trajectories sort by overperformance

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.

CAFE 5 models variation in evolutionary rates among gene families

2020 396 citations Fábio K. Mendes, Dan Vanderpool et al. Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fábio K. Mendes United States	11	456	384	238	155	111	17	858
Sudhindra R. Gadagkar United States	11	485 1.1×	259 0.7×	195 0.8×	219 1.4×	80 0.7×	25	867
Benjamin D. Redelings United States	12	451 1.0×	317 0.8×	167 0.7×	191 1.2×	193 1.7×	24	804
Maxwell Sanderford United States	11	540 1.2×	281 0.7×	243 1.0×	143 0.9×	48 0.4×	20	1.1k
Rezwana Reaz Bangladesh	5	608 1.3×	527 1.4×	235 1.0×	348 2.2×	148 1.3×	10	1.0k
M. Shel Swenson United States	8	716 1.6×	526 1.4×	238 1.0×	332 2.1×	157 1.4×	8	1.1k
Théo Zimmermann United States	4	561 1.2×	476 1.2×	227 1.0×	325 2.1×	135 1.2×	9	912
Serita M. Nelesen United States	7	437 1.0×	229 0.6×	173 0.7×	114 0.7×	87 0.8×	10	758
Claudia Solís‐Lemus United States	9	387 0.8×	400 1.0×	130 0.5×	254 1.6×	102 0.9×	33	761
Andre J. Aberer Germany	11	479 1.1×	458 1.2×	201 0.8×	410 2.6×	177 1.6×	15	1.1k
Paul Bastide France	10	255 0.6×	249 0.6×	108 0.5×	186 1.2×	129 1.2×	23	556

Countries citing papers authored by Fábio K. Mendes

Since Specialization

Citations

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

Fields of papers citing papers by Fábio K. Mendes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fábio K. Mendes. 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 Fábio K. Mendes. The network helps show where Fábio K. Mendes may publish in the future.

Co-authorship network of co-authors of Fábio K. Mendes

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

All Works

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17 of 17 papers shown

Mendes, Fábio K., Remco Bouckaert, Luiz Max Carvalho, & Alexei J. Drummond. (2024). How to Validate a Bayesian Evolutionary Model. Systematic Biology. 74(1). 158–175. 4 indexed citations

Mendes, Fábio K. & Michael J. Landis. (2024). PhyloJunction: A Computational Framework for Simulating, Developing, and Teaching Evolutionary Models. Systematic Biology. 73(6). 1051–1060.

Drummond, Alexei J., et al.. (2023). LinguaPhylo: A probabilistic model specification language for reproducible phylogenetic analyses. PLoS Computational Biology. 19(7). e1011226–e1011226. 3 indexed citations

Zhang, Rong, Alexei J. Drummond, & Fábio K. Mendes. (2023). Fast Bayesian Inference of Phylogenies from Multiple Continuous Characters. Systematic Biology. 73(1). 102–124. 10 indexed citations

Barido‐Sottani, Joëlle, Rui Borges, Jeremy M. Brown, et al.. (2022). Lessons learned from organizing and teaching virtual phylogenetics workshops. 1(2). 1 indexed citations

Ogilvie, Huw A., Fábio K. Mendes, Timothy G. Vaughan, et al.. (2021). Novel Integrative Modeling of Molecules and Morphology across Evolutionary Timescales. Systematic Biology. 71(1). 208–220. 11 indexed citations

Douglas, Jordan, Fábio K. Mendes, Remco Bouckaert, et al.. (2021). Phylodynamics reveals the role of human travel and contact tracing in controlling the first wave of COVID-19 in four island nations. Virus Evolution. 7(2). veab052–veab052. 26 indexed citations

Mendes, Fábio K., et al.. (2020). A multi‐platform package for the analysis of intra‐ and interspecific trait evolution. Methods in Ecology and Evolution. 11(11). 1439–1447. 14 indexed citations

Mendes, Fábio K., Dan Vanderpool, Ben Fulton, & Matthew W. Hahn. (2020). CAFE 5 models variation in evolutionary rates among gene families. Bioinformatics. 36(22-23). 5516–5518. 396 indexed citations breakdown →

10.

Mendes, Fábio K., et al.. (2019). The perils of intralocus recombination for inferences of molecular convergence. Philosophical Transactions of the Royal Society B Biological Sciences. 374(1777). 20180244–20180244. 28 indexed citations

11.

Mendes, Fábio K., et al.. (2018). A multispecies coalescent model for quantitative traits. eLife. 7. 33 indexed citations

12.

Mendes, Fábio K. & Matthew W. Hahn. (2017). Why Concatenation Fails Near the Anomaly Zone. Systematic Biology. 67(1). 158–169. 82 indexed citations

13.

Roda, Federico, Fábio K. Mendes, Matthew W. Hahn, & Robin Hopkins. (2017). Genomic evidence of gene flow during reinforcement in Texas Phlox. Molecular Ecology. 26(8). 2317–2330. 22 indexed citations

14.

Mendes, Fábio K. & Matthew W. Hahn. (2016). Gene Tree Discordance Causes Apparent Substitution Rate Variation. Systematic Biology. 65(4). 711–721. 121 indexed citations

15.

Mendes, Fábio K., Yoonsoo Hahn, & Matthew W. Hahn. (2016). Gene Tree Discordance Can Generate Patterns of Diminishing Convergence over Time. Molecular Biology and Evolution. 33(12). 3299–3307. 41 indexed citations

16.

Schrider, Daniel R., Fábio K. Mendes, Matthew W. Hahn, & Andrew D. Kern. (2015). Soft Shoulders Ahead: Spurious Signatures of Soft and Partial Selective Sweeps Result from Linked Hard Sweeps. Genetics. 200(1). 267–284. 65 indexed citations

17.

Paget, Sandrine, Sophie Julia, Daniel B. Levy, et al.. (2005). A New Suceptibility Locus of Familial High Myopia on Chromosome 7p15.3. 46(13). 3816–3816. 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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