Kun Wang
Impact in
- Nutrition and Dietetics top 2%
- Trace Elements in Health
- Genetics top 2%
- Genetic diversity and population structure
- Genetic and phenotypic traits in livestock
Papers in
-
- Genomics and Phylogenetic Studies 19
- CRISPR and Genetic Engineering 6
- RNA and protein synthesis mechanisms 5
- Genetics 45
- Genetic and phenotypic traits in livestock 10
- Genetic diversity and population structure 9
- Bacterial Genetics and Biotechnology 4
- Co-authors
- Yien–Ming Kuo (1 shared paper)Jane Gitschier (1 shared paper)Jason Zemansky (1 shared paper)Bing Bing Zhou (1 shared paper)Qiang Qiu (24 shared papers)Xue‐Jun Ge (1 shared paper)Tuo Yang (1 shared paper)Yongshuai Sun (1 shared paper)
- Journals
- BMC Genomics (7 papers)GigaScience (6 papers)Genes (4 papers)Scientific Data (3 papers)Water (3 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Kun Wang
157 papers receiving 3.7k citations
Kun Wang's Hit Papers
Peers
Comparison fields: 5 of 165
- Nutrition and Dietetics 467
- Genetics 750
- Molecular Biology 1.5k
- Health, Toxicology and Mutagenesis 260
- Ecology 480
Countries citing papers authored by Kun Wang
This map shows the geographic impact of Kun Wang'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 Kun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Wang more than expected).
Fields of papers citing papers by Kun Wang
This network shows the impact of papers produced by Kun Wang. 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 Kun Wang. The network helps show where Kun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Wang, 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 168 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comparative analysis of a large dataset indicates that internal transcribed spacer (ITS) should be incorporated into the core barcode for seed plants Hit paper breakdown → | 2011 | 745 |
| 2 | 2002 | 401 | |
| 3 | 2018 | 94 | |
| 4 | 2007 | 80 | |
| 5 | 2013 | 80 | |
| 6 | 2012 | 78 | |
| 7 | 2017 | 73 | |
| 8 | 2016 | 62 | |
| 9 | 2022 | 59 | |
| 10 | 2017 | 58 | |
| 11 | 2014 | 56 | |
| 12 | 2015 | 56 | |
| 13 | 2017 | 50 | |
| 14 | 2019 | 46 | |
| 15 | Targeting ABCB1-mediated tumor multidrug resistance by CRISPR/Cas9-based genome editing. | 2016 | 46 |
| 16 | 2018 | 45 | |
| 17 | 2017 | 45 | |
| 18 | 2017 | 43 | |
| 19 | 2014 | 42 | |
| 20 | 2006 | 42 |
About Kun Wang
Kun Wang is a scholar working on Molecular Biology, Genetics, Ecology, Plant Science and Global and Planetary Change, having authored 168 papers that have together received 3.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (19 papers), Genetic and phenotypic traits in livestock (10 papers), Genetic diversity and population structure (9 papers), Microbial Community Ecology and Physiology (8 papers), Remote Sensing in Agriculture (6 papers), CRISPR and Genetic Engineering (6 papers), RNA and protein synthesis mechanisms (5 papers) and Bacterial Genetics and Biotechnology (4 papers). The work is most often cited by research in Nutrition and Dietetics (467 citations), Genetics (750 citations), Molecular Biology (1.5k citations), Health, Toxicology and Mutagenesis (260 citations) and Ecology (480 citations). Kun Wang has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Yien–Ming Kuo, Jane Gitschier, Jason Zemansky, Bing Bing Zhou, Qiang Qiu, Xue‐Jun Ge, Tuo Yang, Yongshuai Sun, Yingjie Zhu and Lei Zhao. Their work appears in journals such as BMC Genomics, GigaScience, Genes, Scientific Data and Water.
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.