Erik Garrison

60.5k total citations · 1 hit paper
39 papers, 2.2k citations indexed

About

Erik Garrison is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Erik Garrison has authored 39 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 16 papers in Genetics and 10 papers in Artificial Intelligence. Recurrent topics in Erik Garrison's work include Genomics and Phylogenetic Studies (23 papers), Chromosomal and Genetic Variations (7 papers) and Algorithms and Data Compression (6 papers). Erik Garrison is often cited by papers focused on Genomics and Phylogenetic Studies (23 papers), Chromosomal and Genetic Variations (7 papers) and Algorithms and Data Compression (6 papers). Erik Garrison collaborates with scholars based in United States, United Kingdom and Italy. Erik Garrison's co-authors include Gábor Marth, Adam M. Novak, Benedict Paten, Jordan M. Eizenga, Andrea Guarracino, Pjotr Prins, Michael P. Strömberg, Chip Stewart, Eric T. Dawson and Glenn Hickey and has published in prestigious journals such as Nature, Science and Bioinformatics.

In The Last Decade

Erik Garrison

38 papers receiving 2.2k 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.

A spectrum of free software tools for processing the VCF variant call format: vcflib, bio-vcf, cyvcf2, hts-nim and slivar

2022 132 citations Erik Garrison, Zev Kronenberg et al. PLoS Computational Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Erik Garrison United States	21	1.5k	865	773	169	144	39	2.2k
Paul Medvedev United States	22	1.6k 1.1×	787 0.9×	574 0.7×	311 1.8×	211 1.5×	75	2.3k
Tobias Marschall Germany	23	1.6k 1.1×	792 0.9×	550 0.7×	166 1.0×	302 2.1×	62	2.0k
Juliane C. Dohm Austria	22	2.0k 1.3×	593 0.7×	1.1k 1.4×	98 0.6×	300 2.1×	49	2.9k
Nomi L. Harris United States	18	1.7k 1.1×	494 0.6×	304 0.4×	171 1.0×	74 0.5×	44	2.4k
Steffen Schmidt Germany	30	2.6k 1.8×	1.1k 1.3×	512 0.7×	72 0.4×	216 1.5×	64	3.7k
Weichun Huang United States	17	1.5k 1.0×	419 0.5×	369 0.5×	94 0.6×	223 1.5×	26	1.9k
Éric Rivals France	23	1.8k 1.2×	362 0.4×	531 0.7×	394 2.3×	151 1.0×	78	2.3k
Michael P. Strömberg United States	10	1.2k 0.8×	571 0.7×	515 0.7×	46 0.3×	181 1.3×	14	1.8k
Jane M. Landolin United States	7	1.4k 0.9×	401 0.5×	589 0.8×	111 0.7×	120 0.8×	9	1.7k
Alan Christoffels South Africa	26	1.5k 1.0×	564 0.7×	362 0.5×	73 0.4×	181 1.3×	98	2.6k

Countries citing papers authored by Erik Garrison

Since Specialization

Citations

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

Fields of papers citing papers by Erik Garrison

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erik Garrison

This figure shows the co-authorship network connecting the top 25 collaborators of Erik Garrison. A scholar is included among the top collaborators of Erik Garrison 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 Erik Garrison. Erik Garrison 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:

20 of 20 papers shown

Rossi, Massimiliano, et al.. (2025). Accurate short-read alignment throughr-index-based pangenome indexing. Genome Research. 35(7). 1609–1620. 2 indexed citations

Wei, Wenjie, Songtao Gui, Jian Yang, et al.. (2025). wgatools: an ultrafast toolkit for manipulating whole-genome alignments. Bioinformatics. 41(4). 2 indexed citations

Lima, Leonardo Gomes de, Andrea Guarracino, Sergey Koren, et al.. (2025). The formation and propagation of human Robertsonian chromosomes. Nature. 647(8091). 952–961. 1 indexed citations

Edwards, Scott V., Bohao Fang, Danielle E. Khost, et al.. (2025). Multispecies pangenomes reveal a pervasive influence of population size on structural variation. Science. 390(6778). eadw1931–eadw1931. 1 indexed citations

Heumos, Simon, Michael Heuer, Lukas Heumos, et al.. (2024). Cluster-efficient pangenome graph construction with nf-core/pangenome. Bioinformatics. 40(11). 6 indexed citations

Heumos, Simon, Andrea Guarracino, Zhiru Zhang, et al.. (2024). Pangenome graph layout by Path-Guided Stochastic Gradient Descent. Bioinformatics. 40(7). 3 indexed citations

Garrison, Erik, et al.. (2024). Panacus: fast and exact pangenome growth and core size estimation. Bioinformatics. 40(12). 6 indexed citations

Marco‐Sola, Santiago, Jordan M. Eizenga, Andrea Guarracino, et al.. (2023). Optimal gap-affine alignment in O ( s ) space. Bioinformatics. 39(2). 33 indexed citations

Cochetel, Noé, Andrea Minio, Andrea Guarracino, et al.. (2023). A super-pangenome of the North American wild grape species. Genome biology. 24(1). 290–290. 48 indexed citations

10.

Kille, Bryce, Erik Garrison, Todd J. Treangen, & Adam M. Phillippy. (2023). Minmers are a generalization of minimizers that enable unbiased local Jaccard estimation. Bioinformatics. 39(9). 14 indexed citations

11.

Garrison, Erik, et al.. (2023). Fast Exact String to D-Texts Alignments. CINECA IRIS Institutial research information system (University of Pisa). 70–79.

12.

Yang, Zuyu, Andrea Guarracino, Patrick J. Biggs, et al.. (2023). Pangenome graphs in infectious disease: a comprehensive genetic variation analysis of Neisseria meningitidis leveraging Oxford Nanopore long reads. Frontiers in Genetics. 14. 1225248–1225248. 13 indexed citations

13.

Guarracino, Andrea, Simon Heumos, Sven Nahnsen, Pjotr Prins, & Erik Garrison. (2022). ODGI: understanding pangenome graphs. Bioinformatics. 38(13). 3319–3326. 74 indexed citations

14.

Garrison, Erik & Andrea Guarracino. (2022). Unbiased pangenome graphs. Bioinformatics. 39(1). 32 indexed citations

15.

Garrison, Erik, Zev Kronenberg, Eric T. Dawson, Brent S. Pedersen, & Pjotr Prins. (2022). A spectrum of free software tools for processing the VCF variant call format: vcflib, bio-vcf, cyvcf2, hts-nim and slivar. PLoS Computational Biology. 18(5). e1009123–e1009123. 132 indexed citations breakdown →

16.

Bonnici, Vincenzo, et al.. (2021). GRAFIMO: Variant and haplotype aware motif scanning on pangenome graphs. PLoS Computational Biology. 17(9). e1009444–e1009444. 4 indexed citations

17.

Sirén, Jouni, Jean Monlong, Xian Chang, et al.. (2021). Pangenomics enables genotyping of known structural variants in 5202 diverse genomes. Science. 374(6574). abg8871–abg8871. 165 indexed citations

18.

Eizenga, Jordan M., Adam M. Novak, Flavia Villani, et al.. (2020). Efficient dynamic variation graphs. Bioinformatics. 36(21). 5139–5144. 13 indexed citations

19.

Colonna, Vincenza, Nunzio D’Agostino, Erik Garrison, et al.. (2019). Genomic diversity and novel genome-wide association with fruit morphology in Capsicum, from 746k polymorphic sites. Scientific Reports. 9(1). 10067–10067. 35 indexed citations

20.

Novak, Adam M., Erik Garrison, & Benedict Paten. (2017). A graph extension of the positional Burrows–Wheeler transform and its applications. Algorithms for Molecular Biology. 12(1). 18–18. 22 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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