Bernard Kim
Impact in
- Genetics top 2%
- Genetic diversity and population structure
- Evolution and Genetic Dynamics
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Ecological Modeling top 10%
Papers in ⓘ
- Genetics 20
- Genetic diversity and population structure 11
- Evolution and Genetic Dynamics 5
- Genetic Mapping and Diversity in Plants and Animals 5
- Genetic and phenotypic traits in livestock 4
- Insect and Arachnid Ecology and Behavior 4
- Co-authors
- Kirk E. Lohmueller (10 shared papers)Christian D. Huber (4 shared papers)Jacqueline A. Robinson (2 shared papers)Robert K. Wayne (2 shared papers)Clare D. Marsden (2 shared papers)Alasdair C. Steven (1 shared paper)Benes L. Trus (1 shared paper)Satyendra Kumar Singh (1 shared paper)
- Journals
- Current Biology (4 papers)PLoS Genetics (4 papers)Proceedings of the National Academy of Sciences (4 papers)Genetics (3 papers)G3 Genes Genomes Genetics (2 papers)
- Partner nations
- United StatesChinaIsrael
In The Last Decade
Bernard Kim
40 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 117
- Genetics 845
- Ecological Modeling 43
- Molecular Biology 600
- Ecology 200
- Aging 13
Countries citing papers authored by Bernard Kim
This map shows the geographic impact of Bernard Kim'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 Bernard Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernard Kim more than expected).
Fields of papers citing papers by Bernard Kim
This network shows the impact of papers produced by Bernard Kim. 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 Bernard Kim. The network helps show where Bernard Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Bernard Kim, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 245 | |
| 2 | 2016 | 170 | |
| 3 | 2021 | 138 | |
| 4 | 2018 | 134 | |
| 5 | 2017 | 128 | |
| 6 | 2017 | 87 | |
| 7 | 2018 | 76 | |
| 8 | 2016 | 66 | |
| 9 | 2020 | 65 | |
| 10 | 2015 | 60 | |
| 11 | 2018 | 33 | |
| 12 | 2017 | 33 | |
| 13 | 2019 | 23 | |
| 14 | 2020 | 21 | |
| 15 | 2016 | 21 | |
| 16 | 2023 | 18 | |
| 17 | 2010 | 18 | |
| 18 | 2022 | 15 | |
| 19 | 2024 | 11 | |
| 20 | 2019 | 10 |
About Bernard Kim
Bernard Kim is a scholar working on Genetics, Paleontology, Ecology, Evolution, Behavior and Systematics, Plant Science and Molecular Biology, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic diversity and population structure (11 papers), Genomics and Phylogenetic Studies (8 papers), Chromosomal and Genetic Variations (7 papers), Animal Behavior and Reproduction (5 papers), Evolution and Genetic Dynamics (5 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Genetic and phenotypic traits in livestock (4 papers) and Insect and Arachnid Ecology and Behavior (4 papers). The work is most often cited by research in Genetics (845 citations), Ecological Modeling (43 citations), Molecular Biology (600 citations), Ecology (200 citations) and Aging (13 citations). Bernard Kim has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Kirk E. Lohmueller, Christian D. Huber, Jacqueline A. Robinson, Robert K. Wayne, Clare D. Marsden, Alasdair C. Steven, Benes L. Trus, Satyendra Kumar Singh, Eva Kocsis and Michael R. Maurizi. Their work appears in journals such as Current Biology, PLoS Genetics, Proceedings of the National Academy of Sciences, Genetics and G3 Genes Genomes 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.