Brian Ondov
Impact in
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 0.5%
Papers in
-
- Data Visualization and Analytics 3
- Co-authors
- Adam M. PhillippyNicholas H. BergmanSergey KorenTodd J. TreangenPáll MelstedKarla D. PassalacquaDavid T. OkouMichael E. Zwick
- Journals
- Genome biology (4 papers)IEEE Transactions on Visualization and Computer Graphics (3 papers)Bioinformatics (2 papers)Journal of the American Medical Informatics Association (2 papers)Scientific Data (1 paper)
- Partner nations
- United StatesDenmarkIceland
In The Last Decade
Brian Ondov
20 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Molecular Medicine 787
- Endocrinology 665
- Ecology 1.5k
- Clinical Biochemistry 312
- Molecular Biology 2.9k
Countries citing papers authored by Brian Ondov
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 7 | |
| 5 | 2020 | 13 | |
| 6 | 2019 | 176 | |
| 7 | 2018 | 19 | |
| 8 | 2018 | 41 | |
| 9 | Mash: fast genome and metagenome distance estimation using MinHash Hit paper breakdown → | 2016 | 1821 |
| 10 | 2015 | 24 | |
| 11 | The Harvest suite for rapid core-genome alignment and visualization of thousands of intraspecific microbial genomes Hit paper breakdown → | 2014 | 1230 |
| 12 | 2014 | 45 | |
| 13 | 2014 | 59 | |
| 14 | 2013 | 5 | |
| 15 | 2013 | 137 | |
| 16 | 2012 | 17 | |
| 17 | Interactive metagenomic visualization in a Web browser Hit paper breakdown → | 2011 | 1444 |
| 18 | 2010 | 17 | |
| 19 | 2009 | 171 | |
| 20 | 2008 | 64 |
About Brian Ondov
Brian Ondov is a scholar working on Computer Vision and Pattern Recognition, Endocrinology, Molecular Biology, Microbiology and Clinical Biochemistry, having authored 22 papers that have together received 5.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Bacterial Genetics and Biotechnology (3 papers), Data Visualization and Analytics (3 papers), RNA and protein synthesis mechanisms (3 papers), Aesthetic Perception and Analysis (2 papers), Bacteriophages and microbial interactions (2 papers), Topic Modeling (2 papers) and Probiotics and Fermented Foods (2 papers). The work is most often cited by research in Molecular Medicine (787 citations), Endocrinology (665 citations), Ecology (1.5k citations), Clinical Biochemistry (312 citations) and Molecular Biology (2.9k citations). Brian Ondov has collaborated with scholars based in United States, Denmark and Iceland. 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, Aleksandra M. Kostic and Gabriel J. Starrett. Their work appears in journals such as Genome biology, IEEE Transactions on Visualization and Computer Graphics, Bioinformatics, Journal of the American Medical Informatics Association and Scientific Data.
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.