Nicholas H. Bergman
- Molecular Biology top 1%
- Ecology top 0.5%
- Plant Science top 0.5%
- Genetics top 1%
- Food Science top 1%
- Co-authors
- Adam M. PhillippySergey KorenBrian OndovJason MillerKonstantin BerlinBrian P. WalenzTodd J. TreangenPáll Melsted
- Topics
- Bacterial Genetics and Biotechnology (16 papers)Bacillus and Francisella bacterial research (13 papers)Genomics and Phylogenetic Studies (11 papers)
- Partner nations
- United StatesNetherlandsFrance
In The Last Decade
Nicholas H. Bergman
36 papers receiving 9.5k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Molecular Biology 6.0k
- Ecology 2.5k
- Plant Science 2.5k
- Genetics 1.4k
- Food Science 768
Countries citing papers authored by Nicholas H. Bergman
This map shows the geographic impact of Nicholas H. Bergman'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 Nicholas H. Bergman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas H. Bergman more than expected).
Fields of papers citing papers by Nicholas H. Bergman
This network shows the impact of papers produced by Nicholas H. Bergman. 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 Nicholas H. Bergman. The network helps show where Nicholas H. Bergman may publish in the future.
Co-authorship network of co-authors of Nicholas H. Bergman
This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas H. Bergman. A scholar is included among the top collaborators of Nicholas H. Bergman 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 Nicholas H. Bergman. Nicholas H. Bergman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 47 | |
| 2 | Canu: scalable and accurate long-read assembly via adaptive k -mer weighting and repeat separationbreakdown → | 4640 |
| 3 | 28 | |
| 4 | Mash: fast genome and metagenome distance estimation using MinHashbreakdown → | 1821 |
| 5 | Reducing Assembly Complexity of Microbial\nGenomes with Single-Molecule Sequencing | 267 |
| 6 | 37 | |
| 7 | 5 | |
| 8 | 17 | |
| 9 | 63 | |
| 10 | Interactive metagenomic visualization in a Web browserbreakdown → | 1444 |
| 11 | 49 | |
| 12 | 171 | |
| 13 | 34 | |
| 14 | 13 | |
| 15 | 83 | |
| 16 | 29 | |
| 17 | 44 | |
| 18 | 36 | |
| 19 | 36 | |
| 20 | 13 |
About Nicholas H. Bergman
Nicholas H. Bergman is a scholar working on Genetics, Molecular Biology and Ecology, having authored 36 papers that have together received 9.6k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (16 papers), Bacillus and Francisella bacterial research (13 papers) and Genomics and Phylogenetic Studies (11 papers). The work is most often cited by research in Endocrinology (681 citations), Molecular Medicine (659 citations) and Ecology (2.5k citations). Nicholas H. Bergman has collaborated with scholars based in United States, Netherlands and France. Frequent co-authors include Adam M. Phillippy, Sergey Koren, Brian Ondov, Jason Miller, Konstantin Berlin, Brian P. Walenz, Todd J. Treangen, Páll Melsted, Karla D. Passalacqua and Philip C. Hanna. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.
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.