Ke Bi
Impact in
- Ecological Modeling top 1%
- Species Distribution and Climate Change
- Genetics top 1%
- Genetic diversity and population structure
- Evolution and Genetic Dynamics
Papers in
- Genetics 41
- Genetic diversity and population structure 31
- Evolution and Genetic Dynamics 9
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- Genomics and Phylogenetic Studies 18
- Co-authors
- Craig Moritz (9 shared papers)Jeffrey M. Good (6 shared papers)Dan Vanderpool (4 shared papers)Jinzhong Fu (12 shared papers)Tyler Linderoth (4 shared papers)James P. Bogart (7 shared papers)Rasmus Nielsen (3 shared papers)Sonal Singhal (4 shared papers)
- Journals
- Molecular Ecology (12 papers)Ecology and Evolution (5 papers)Molecular Ecology Resources (4 papers)Molecular Phylogenetics and Evolution (4 papers)PLoS Genetics (4 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Ke Bi
70 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 116
- Ecological Modeling 449
- Genetics 1.3k
- Ecology, Evolution, Behavior and Systematics 596
- Ecology 722
- Global and Planetary Change 504
Countries citing papers authored by Ke Bi
This map shows the geographic impact of Ke Bi'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 Ke Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Bi more than expected).
Fields of papers citing papers by Ke Bi
This network shows the impact of papers produced by Ke Bi. 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 Ke Bi. The network helps show where Ke Bi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke Bi, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 299 | |
| 2 | 2012 | 211 | |
| 3 | 2007 | 125 | |
| 4 | 2011 | 118 | |
| 5 | 2015 | 117 | |
| 6 | 2015 | 114 | |
| 7 | 2015 | 81 | |
| 8 | 2018 | 80 | |
| 9 | 2016 | 75 | |
| 10 | 2019 | 73 | |
| 11 | 2019 | 62 | |
| 12 | 2012 | 59 | |
| 13 | 2010 | 53 | |
| 14 | 2016 | 52 | |
| 15 | 2010 | 50 | |
| 16 | 2018 | 49 | |
| 17 | 2016 | 47 | |
| 18 | 2009 | 45 | |
| 19 | 2018 | 43 | |
| 20 | 2007 | 39 |
About Ke Bi
Ke Bi is a scholar working on Genetics, Molecular Biology, Ecology, Global and Planetary Change and Ecology, Evolution, Behavior and Systematics, having authored 70 papers that have together received 2.5k indexed citations. Recurring topics across this work include Genetic diversity and population structure (31 papers), Genomics and Phylogenetic Studies (18 papers), Amphibian and Reptile Biology (17 papers), Species Distribution and Climate Change (13 papers), Evolution and Genetic Dynamics (9 papers), Animal Behavior and Reproduction (8 papers), Wildlife Ecology and Conservation (6 papers) and Plant and animal studies (5 papers). The work is most often cited by research in Ecological Modeling (449 citations), Genetics (1.3k citations), Ecology, Evolution, Behavior and Systematics (596 citations), Ecology (722 citations) and Global and Planetary Change (504 citations). Ke Bi has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Craig Moritz, Jeffrey M. Good, Dan Vanderpool, Jinzhong Fu, Tyler Linderoth, James P. Bogart, Rasmus Nielsen, Sonal Singhal, Jimmy A. McGuire and Sally Potter. Their work appears in journals such as Molecular Ecology, Ecology and Evolution, Molecular Ecology Resources, Molecular Phylogenetics and Evolution and PLoS Genetics.
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.