Rob S Egan
Impact in
Papers in
-
- Genomics and Phylogenetic Studies 18
- DNA and Biological Computing 2
- Gut microbiota and health 2
- Ecology 6
- Microbial Community Ecology and Physiology 6
- Bacteriophages and microbial interactions 2
- Co-authors
- Zhong Wang (8 shared papers)Dongwan Don Kang (2 shared papers)Edward Kirton (1 shared paper)Hong An (1 shared paper)Feng Li (1 shared paper)Jeff L. Froula (1 shared paper)Tao Zhang (1 shared paper)Feng Chen (1 shared paper)
- Journals
- PeerJ (3 papers)BMC Bioinformatics (2 papers)Scientific Reports (1 paper)mBio (1 paper)Science (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Rob S Egan
20 papers receiving 5.5k citations
Rob S Egan's Hit Papers
Peers
Comparison fields: 5 of 145
- Ecology 2.2k
- Pollution 693
- Environmental Chemistry 558
- Molecular Biology 3.0k
- Biotechnology 281
Countries citing papers authored by Rob S Egan
This map shows the geographic impact of Rob S Egan'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 Rob S Egan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rob S Egan more than expected).
Fields of papers citing papers by Rob S Egan
This network shows the impact of papers produced by Rob S Egan. 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 Rob S Egan. The network helps show where Rob S Egan may publish in the future.
Co-authors
The 25 scholars most cited alongside Rob S Egan, 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 | MetaBAT 2: an adaptive binning algorithm for robust and efficient genome reconstruction from metagenome assemblies Hit paper breakdown → | 2019 | 2468 |
| 2 | MetaBAT, an efficient tool for accurately reconstructing single genomes from complex microbial communities Hit paper breakdown → | 2015 | 1404 |
| 3 | Metagenomic Discovery of Biomass-Degrading Genes and Genomes from Cow Rumen Hit paper breakdown → | 2011 | 1059 |
| 4 | Critical Assessment of Metagenome Interpretation: the second round of challenges Hit paper breakdown → | 2022 | 203 |
| 5 | 2013 | 132 | |
| 6 | 2017 | 93 | |
| 7 | 2015 | 55 | |
| 8 | 2020 | 44 | |
| 9 | 2023 | 19 | |
| 10 | 2020 | 15 | |
| 11 | 2023 | 14 | |
| 12 | 2019 | 11 | |
| 13 | 2017 | 7 | |
| 14 | 2017 | 5 | |
| 15 | 2022 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 2017 | 2 | |
| 18 | 2013 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2023 | 1 |
About Rob S Egan
Rob S Egan is a scholar working on Molecular Biology, Ecology, Artificial Intelligence, Plant Science and Computer Networks and Communications, having authored 20 papers that have together received 5.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (18 papers), Microbial Community Ecology and Physiology (6 papers), Algorithms and Data Compression (6 papers), Chromosomal and Genetic Variations (4 papers), Advanced Data Storage Technologies (2 papers), Bacteriophages and microbial interactions (2 papers), DNA and Biological Computing (2 papers) and Gut microbiota and health (2 papers). The work is most often cited by research in Ecology (2.2k citations), Pollution (693 citations), Environmental Chemistry (558 citations), Molecular Biology (3.0k citations) and Biotechnology (281 citations). Rob S Egan has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Zhong Wang, Dongwan Don Kang, Edward Kirton, Hong An, Feng Li, Jeff L. Froula, Tao Zhang, Feng Chen, Tanja Woyke and Alexander Sczyrba. Their work appears in journals such as PeerJ, BMC Bioinformatics, Scientific Reports, mBio and Science.
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.