Brian Ondov

20 papers receiving 5.4k citations

Brian Ondov's Hit Papers

Mash: fast genome and metagenome distance estimation using MinHash 2016 · 1.9k citations
1.9k0+5+10Years since publication50010001.5k

Peers

Brian Ondov
Comparison fields: 5 of 158
  • Molecular Medicine 751
  • Endocrinology 604
  • Ecology 1.4k
  • Clinical Biochemistry 259
  • Microbiology 236
Replace Todd J. Treangen with:
Todd J. Treangen United States
William Klimke United States
Dandan Zheng China
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Carla Cummins United Kingdom
Michael DiCuccio United States
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Citations per field
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Citations per year

Countries citing papers authored by Brian Ondov

Since Specialization
Citations

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

Fields of papers citing papers by Brian Ondov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Brian Ondov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Brian Ondov Line = papers co-authored together Brian Ondov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mash: fast genome and metagenome distance estimation using MinHash
Hit paper breakdown →
20161902
2
Interactive metagenomic visualization in a Web browser
Hit paper breakdown →
20111478
3
The Harvest suite for rapid core-genome alignment and visualization of thousands of intraspecific microbial genomes
Hit paper breakdown →
20141256
4 2019183
5 2009172
6 2013139
7 200864
8 201461
9 201445
10 201844
11 201932
12 201524
13 201819
14 201017
15 201217
16 202014
17 202213
18 20238
19 20135
20 20241

About Brian Ondov

Brian Ondov is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Artificial Intelligence, Genetics and Plant Science, having authored 22 papers that have together received 5.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Data Visualization and Analytics (3 papers), Gut microbiota and health (2 papers), Text Readability and Simplification (2 papers), Plant Virus Research Studies (2 papers), Bacterial Genetics and Biotechnology (2 papers), Probiotics and Fermented Foods (2 papers) and Aesthetic Perception and Analysis (2 papers). The work is most often cited by research in Molecular Medicine (751 citations), Endocrinology (604 citations), Ecology (1.4k citations), Clinical Biochemistry (259 citations) and Microbiology (236 citations). Brian Ondov has collaborated with scholars based in United States, Iceland and Denmark. Frequent co-authors include Adam M. Phillippy, Nicholas H. Bergman, Sergey Koren, Todd J. Treangen, Páll Melsted, Karla D. Passalacqua, David T. Okou, Michael E. Zwick, Anna Sappington and Aleksandra M. Kostic. Their work appears in journals such as Genome biology, IEEE Transactions on Visualization and Computer Graphics, Journal of the American Medical Informatics Association, Bioinformatics and PeerJ.

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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