Ke Wang
Impact in
- Soil Science top 5%
- Soil Carbon and Nitrogen Dynamics
- Genetics top 2%
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Animal Genetics and Reproduction
Papers in
-
- RNA Research and Splicing 12
- RNA modifications and cancer 11
- Epigenetics and DNA Methylation 8
- Genetics 40
- Genetic and phenotypic traits in livestock 23
- Animal Genetics and Reproduction 14
- Genetic Mapping and Diversity in Plants and Animals 9
- Co-authors
- Chuanying Pan (27 shared papers)Lei Qu (21 shared papers)Hailong Yan (19 shared papers)Haijing Zhu (17 shared papers)Xianyong Lan (16 shared papers)Jinwang Liu (9 shared papers)Xianyong Lan (9 shared papers)Zhikuan Jia (2 shared papers)
- Journals
- Theriogenology (6 papers)Animals (6 papers)Cell Death and Disease (4 papers)Gene (3 papers)Frontiers in Genetics (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ke Wang
130 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 147
- Soil Science 295
- Genetics 783
- Cancer Research 400
- Agronomy and Crop Science 245
- Reproductive Medicine 103
Countries citing papers authored by Ke Wang
This map shows the geographic impact of Ke 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 Ke Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Wang more than expected).
Fields of papers citing papers by Ke Wang
This network shows the impact of papers produced by Ke 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 Ke Wang. The network helps show where Ke Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke 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 143 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 133 | |
| 2 | 2015 | 132 | |
| 3 | 2018 | 110 | |
| 4 | 2017 | 102 | |
| 5 | 2018 | 82 | |
| 6 | 2017 | 81 | |
| 7 | 2017 | 76 | |
| 8 | 2011 | 72 | |
| 9 | 2020 | 63 | |
| 10 | 2011 | 63 | |
| 11 | 2018 | 58 | |
| 12 | 2018 | 58 | |
| 13 | 2020 | 54 | |
| 14 | 2019 | 51 | |
| 15 | 2018 | 47 | |
| 16 | 2022 | 43 | |
| 17 | 2020 | 41 | |
| 18 | 2006 | 39 | |
| 19 | 2019 | 38 | |
| 20 | 2019 | 38 |
About Ke Wang
Ke Wang is a scholar working on Molecular Biology, Genetics, Cancer Research, Soil Science and Pulmonary and Respiratory Medicine, having authored 143 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (23 papers), Cancer-related molecular mechanisms research (23 papers), Animal Genetics and Reproduction (14 papers), RNA Research and Splicing (12 papers), RNA modifications and cancer (11 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers), Soil Carbon and Nitrogen Dynamics (9 papers) and Epigenetics and DNA Methylation (8 papers). The work is most often cited by research in Soil Science (295 citations), Genetics (783 citations), Cancer Research (400 citations), Agronomy and Crop Science (245 citations) and Reproductive Medicine (103 citations). Ke Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Chuanying Pan, Lei Qu, Hailong Yan, Haijing Zhu, Xianyong Lan, Jinwang Liu, Xianyong Lan, Zhikuan Jia, Ting Wei and Qingfang Han. Their work appears in journals such as Theriogenology, Animals, Cell Death and Disease, Gene and Frontiers in 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.