Thomas J. Buida

1.1k total citations · 1 hit paper
6 papers, 491 citations indexed

About

Thomas J. Buida is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Thomas J. Buida has authored 6 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Plant Science. Recurrent topics in Thomas J. Buida's work include Genomics and Phylogenetic Studies (6 papers), Genetic diversity and population structure (4 papers) and Chromosomal and Genetic Variations (3 papers). Thomas J. Buida is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Genetic diversity and population structure (4 papers) and Chromosomal and Genetic Variations (3 papers). Thomas J. Buida collaborates with scholars based in United States, China and Portugal. Thomas J. Buida's co-authors include Jacob L. Steenwyk, Antonis Rokas, Yuanning Li, Xing‐Xing Shen, Abigail L. LaBella, Jonathan E. Schmitz, Maria Hadjifrangiskou, Carla Gonçalves, Matthew E. Mead and Toni Gabaldón and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Genetics.

In The Last Decade

Thomas J. Buida

5 papers receiving 489 citations

Hit Papers

align trajectories

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.

ClipKIT: A multiple sequence alignment trimming software for accurate phylogenomic inference

2020 327 citations Jacob L. Steenwyk, Thomas J. Buida et al. PLoS Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas J. Buida United States	5	258	133	126	108	89	6	491
Jason Caravas United States	13	239 0.9×	50 0.4×	70 0.6×	86 0.8×	67 0.8×	20	539
Omar Fiz-Palacios Sweden	11	309 1.2×	226 1.7×	85 0.7×	96 0.9×	248 2.8×	13	569
Andrea Ender Germany	10	145 0.6×	86 0.6×	145 1.2×	134 1.2×	46 0.5×	11	427
María Fernanda Torres Jiménez United States	14	255 1.0×	320 2.4×	80 0.6×	187 1.7×	180 2.0×	37	619
Deborah S. Millikan United States	9	550 2.1×	65 0.5×	231 1.8×	191 1.8×	88 1.0×	9	937
William Marande France	16	575 2.2×	463 3.5×	164 1.3×	148 1.4×	140 1.6×	27	916
Fernando Cruz Spain	9	221 0.9×	180 1.4×	100 0.8×	255 2.4×	47 0.5×	28	536
Carlos Fabián Vargas-Mendoza Mexico	16	114 0.4×	222 1.7×	73 0.6×	107 1.0×	331 3.7×	41	549
James G. Baldwin-Brown United States	6	223 0.9×	139 1.0×	82 0.7×	166 1.5×	65 0.7×	10	460
Camille M. Barr United States	9	322 1.2×	210 1.6×	64 0.5×	190 1.8×	237 2.7×	10	539

Countries citing papers authored by Thomas J. Buida

Since Specialization

Citations

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

Fields of papers citing papers by Thomas J. Buida

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas J. Buida

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Steenwyk, Jacob L., et al.. (2025). ClipKIT in the browser: fast online trimming of multiple sequence alignments for phylogenetics. Nucleic Acids Research. 53(W1). W169–W171.

2.

Steenwyk, Jacob L., Thomas J. Buida, Emile Gluck‐Thaler, et al.. (2024). PhyKIT: A Multitool for Phylogenomics. Current Protocols. 4(11). e70016–e70016. 5 indexed citations

3.

Steenwyk, Jacob L., Thomas J. Buida, Carla Gonçalves, et al.. (2022). BioKIT: a versatile toolkit for processing and analyzing diverse types of sequence data. Genetics. 221(3). 20 indexed citations

4.

Steenwyk, Jacob L., et al.. (2022). OrthoSNAP: A tree splitting and pruning algorithm for retrieving single-copy orthologs from gene family trees. PLoS Biology. 20(10). e3001827–e3001827. 20 indexed citations

5.

Steenwyk, Jacob L., Thomas J. Buida, Abigail L. LaBella, et al.. (2021). PhyKIT: a broadly applicable UNIX shell toolkit for processing and analyzing phylogenomic data. Bioinformatics. 37(16). 2325–2331. 119 indexed citations

6.

Steenwyk, Jacob L., Thomas J. Buida, Yuanning Li, Xing‐Xing Shen, & Antonis Rokas. (2020). ClipKIT: A multiple sequence alignment trimming software for accurate phylogenomic inference. PLoS Biology. 18(12). e3001007–e3001007. 327 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact