John E. Karro
Impact in
Papers in
-
- Genomics and Phylogenetic Studies 12
- Fractal and DNA sequence analysis 2
-
- Chromosomal and Genetic Variations 8
- Co-authors
- Daniel Golovin (3 shared papers)Greg Kochanski (3 shared papers)Subhodeep Moitra (2 shared papers)D. Sculley (2 shared papers)Paul M. Harrison (3 shared papers)Zhaolei Zhang (3 shared papers)Mark Gerstein (3 shared papers)Deyou Zheng (3 shared papers)
- Journals
- Bioinformatics (4 papers)Nucleic Acids Research (2 papers)Molecular Biology and Evolution (1 paper)BMC Biotechnology (1 paper)Science (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
John E. Karro
24 papers receiving 2k citations
John E. Karro's Hit Papers
Peers
Comparison fields: 5 of 136
- Genetics 448
- Aging 23
- Virology 53
- Molecular Biology 627
- Plant Science 392
Countries citing papers authored by John E. Karro
This map shows the geographic impact of John E. Karro'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 John E. Karro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John E. Karro more than expected).
Fields of papers citing papers by John E. Karro
This network shows the impact of papers produced by John E. Karro. 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 John E. Karro. The network helps show where John E. Karro may publish in the future.
Co-authors
The 25 scholars most cited alongside John E. Karro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Evolutionary and Biomedical Insights from the Rhesus Macaque Genome Hit paper breakdown → | 2007 | 1096 |
| 2 | Google Vizier Hit paper breakdown → | 2017 | 370 |
| 3 | 2006 | 158 | |
| 4 | 2006 | 147 | |
| 5 | 2005 | 57 | |
| 6 | 2008 | 41 | |
| 7 | 2002 | 40 | |
| 8 | 2007 | 19 | |
| 9 | 2013 | 15 | |
| 10 | 2016 | 12 | |
| 11 | 2013 | 9 | |
| 12 | Bayesian Optimization for a Better Dessert | 2017 | 9 |
| 13 | 2010 | 8 | |
| 14 | 2008 | 7 | |
| 15 | 2009 | 7 | |
| 16 | 1998 | 6 | |
| 17 | 2003 | 6 | |
| 18 | Black Box Optimization via a Bayesian-Optimized Genetic Algorithm | 2017 | 5 |
| 19 | 1997 | 4 | |
| 20 | 2001 | 3 |
About John E. Karro
John E. Karro is a scholar working on Molecular Biology, Plant Science, Artificial Intelligence, Genetics and Computational Theory and Mathematics, having authored 24 papers that have together received 2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (12 papers), Chromosomal and Genetic Variations (8 papers), VLSI and FPGA Design Techniques (3 papers), Fractal and DNA sequence analysis (2 papers), Algorithms and Data Compression (2 papers), Metaheuristic Optimization Algorithms Research (2 papers), Primate Behavior and Ecology (2 papers) and Evolution and Genetic Dynamics (2 papers). The work is most often cited by research in Genetics (448 citations), Aging (23 citations), Virology (53 citations), Molecular Biology (627 citations) and Plant Science (392 citations). John E. Karro has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Daniel Golovin, Greg Kochanski, Subhodeep Moitra, D. Sculley, Paul M. Harrison, Zhaolei Zhang, Mark Gerstein, Deyou Zheng, Nicholas John Carriero and Philip D Cayting. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, Molecular Biology and Evolution, BMC Biotechnology 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.