Bryce Kille

1.2k total citations · 1 hit paper
16 papers, 583 citations indexed

About

Bryce Kille is a scholar working on Molecular Biology, Ecology and Artificial Intelligence. According to data from OpenAlex, Bryce Kille has authored 16 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Ecology and 4 papers in Artificial Intelligence. Recurrent topics in Bryce Kille's work include Genomics and Phylogenetic Studies (9 papers), RNA and protein synthesis mechanisms (7 papers) and Bacteriophages and microbial interactions (3 papers). Bryce Kille is often cited by papers focused on Genomics and Phylogenetic Studies (9 papers), RNA and protein synthesis mechanisms (7 papers) and Bacteriophages and microbial interactions (3 papers). Bryce Kille collaborates with scholars based in United States, Denmark and Switzerland. Bryce Kille's co-authors include Douglas A. Mitchell, Graham A. Hudson, Christopher J. Schwalen, Todd J. Treangen, Adam J. DiCaprio, Taras V. Pogorelov, Michael Nute, Brandon J. Burkhart, Advait Balaji and R. A. Leo Elworth and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Bryce Kille

15 papers receiving 575 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.

Current progress and open challenges for applying deep learning across the biosciences

2022 171 citations Nicolae Sapoval, Amirali Aghazadeh et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bryce Kille United States	11	462	187	45	45	44	16	583
Emerson Glassey United States	10	635 1.4×	147 0.8×	51 1.1×	18 0.4×	29 0.7×	13	804
Elizabeth Bilsland United Kingdom	14	446 1.0×	63 0.3×	30 0.7×	64 1.4×	79 1.8×	23	723
Guillermı́n Agüero-Chapin Portugal	14	511 1.1×	71 0.4×	66 1.5×	10 0.2×	25 0.6×	54	663
Lucianna Helene Santos Brazil	12	369 0.8×	32 0.2×	63 1.4×	23 0.5×	32 0.7×	38	617
Jiří Vohradský Czechia	13	424 0.9×	161 0.9×	19 0.4×	12 0.3×	40 0.9×	30	551
Ruxian Chen China	13	235 0.5×	227 1.2×	114 2.5×	32 0.7×	46 1.0×	39	441
Khushboo Bafna United States	10	455 1.0×	35 0.2×	43 1.0×	22 0.5×	10 0.2×	17	627
Jongwan Kim South Korea	13	246 0.5×	34 0.2×	16 0.4×	56 1.2×	57 1.3×	38	504
Robert Rentzsch United Kingdom	12	768 1.7×	39 0.2×	18 0.4×	15 0.3×	59 1.3×	13	894
Craig R. Garen Canada	17	530 1.1×	65 0.3×	38 0.8×	73 1.6×	58 1.3×	42	785

Countries citing papers authored by Bryce Kille

Since Specialization

Citations

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

Fields of papers citing papers by Bryce Kille

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bryce Kille

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

All Works

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16 of 16 papers shown

Kille, Bryce, et al.. (2026). Ultra-high-throughput mapping of genetic design space. Nature. 650(8103). 1035–1044.

Wang, Michael, Nicolae Sapoval, Prashant Kalvapalle, et al.. (2024). Olivar: towards automated variant aware primer design for multiplex tiled amplicon sequencing of pathogens. Nature Communications. 15(1). 6306–6306. 1 indexed citations

Kille, Bryce, et al.. (2024). Parsnp 2.0: scalable core-genome alignment for massive microbial datasets. Bioinformatics. 40(5). 22 indexed citations

Kille, Bryce, et al.. (2024). A near-tight lower bound on the density of forward sampling schemes. Bioinformatics. 41(1). 1 indexed citations

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

DiCaprio, Adam J., et al.. (2023). Peptidase Activation by a Leader Peptide-Bound RiPP Recognition Element. Biochemistry. 62(4). 956–967. 23 indexed citations

Ramesh, Sangeetha, et al.. (2023). Catalytic Site Proximity Profiling for Functional Unification of Sequence-Diverse Radical S-Adenosylmethionine Enzymes. PubMed. 3(3). 240–251. 12 indexed citations

Sapoval, Nicolae, Amirali Aghazadeh, Michael Nute, et al.. (2022). Current progress and open challenges for applying deep learning across the biosciences. Nature Communications. 13(1). 1728–1728. 171 indexed citations breakdown →

Kille, Bryce, Advait Balaji, Fritz J. Sedlazeck, Michael Nute, & Todd J. Treangen. (2022). Multiple genome alignment in the telomere-to-telomere assembly era. Genome biology. 23(1). 182–182. 27 indexed citations

10.

Balaji, Advait, Bryce Kille, Anthony D. Kappell, et al.. (2022). SeqScreen: accurate and sensitive functional screening of pathogenic sequences via ensemble learning. Genome biology. 23(1). 133–133. 14 indexed citations

11.

Liu, Yunxi, et al.. (2022). Rescuing low frequency variants within intra-host viral populations directly from Oxford Nanopore sequencing data. Nature Communications. 13(1). 1321–1321. 18 indexed citations

12.

Wang, Qi, et al.. (2021). PlasmidHawk improves lab of origin prediction of engineered plasmids using sequence alignment. Nature Communications. 12(1). 1167–1167. 10 indexed citations

13.

Gupta, Gaurav, et al.. (2021). Fast Processing and Querying of 170TB of Genomics Data via a Repeated And Merged BloOm Filter (RAMBO). 2226–2234. 10 indexed citations

14.

Ramesh, Sangeetha, Xiaorui Guo, Adam J. DiCaprio, et al.. (2021). Bioinformatics-Guided Expansion and Discovery of Graspetides. ACS Chemical Biology. 16(12). 2787–2797. 36 indexed citations

15.

Hudson, Graham A., Brandon J. Burkhart, Adam J. DiCaprio, et al.. (2019). Bioinformatic Mapping of Radical S-Adenosylmethionine-Dependent Ribosomally Synthesized and Post-Translationally Modified Peptides Identifies New Cα, Cβ, and Cγ-Linked Thioether-Containing Peptides. Journal of the American Chemical Society. 141(20). 8228–8238. 120 indexed citations

16.

Schwalen, Christopher J., Graham A. Hudson, Bryce Kille, & Douglas A. Mitchell. (2018). Bioinformatic Expansion and Discovery of Thiopeptide Antibiotics. Journal of the American Chemical Society. 140(30). 9494–9501. 104 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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