Kejun Wang
Impact in
- Inorganic Chemistry top 5%
- Metal-Organic Frameworks: Synthesis and Applications
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
-
- RNA Research and Splicing 10
- Circular RNAs in diseases 10
- RNA modifications and cancer 9
-
- Cancer-related molecular mechanisms research 33
- MicroRNA in disease regulation 12
- Co-authors
- Xuzhong Luo (8 shared papers)Yunlong Liu (6 shared papers)Di‐Chang Zhong (7 shared papers)Hui-Jin Liu (3 shared papers)Ji‐Hua Deng (6 shared papers)Bo He (2 shared papers)A. Keith Dunker (1 shared paper)Vladimir N. Uversky (1 shared paper)
- Journals
- Animals (12 papers)BMC Genomics (8 papers)Poultry Science (6 papers)Animal Genetics (5 papers)Frontiers in Genetics (5 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Kejun Wang
142 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 137
- Inorganic Chemistry 392
- Cancer Research 262
- Animal Science and Zoology 150
- Genetics 373
- Materials Chemistry 517
Countries citing papers authored by Kejun Wang
This map shows the geographic impact of Kejun 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 Kejun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kejun Wang more than expected).
Fields of papers citing papers by Kejun Wang
This network shows the impact of papers produced by Kejun 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 Kejun Wang. The network helps show where Kejun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kejun 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 160 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 355 | |
| 2 | 2009 | 354 | |
| 3 | 2021 | 70 | |
| 4 | 2016 | 63 | |
| 5 | 2015 | 60 | |
| 6 | 2009 | 54 | |
| 7 | 2006 | 50 | |
| 8 | 2021 | 48 | |
| 9 | 2019 | 46 | |
| 10 | 2012 | 45 | |
| 11 | 2016 | 42 | |
| 12 | 2006 | 39 | |
| 13 | 2019 | 38 | |
| 14 | 2022 | 34 | |
| 15 | 2018 | 32 | |
| 16 | 2016 | 30 | |
| 17 | 2021 | 29 | |
| 18 | 2023 | 28 | |
| 19 | 2006 | 28 | |
| 20 | 2020 | 27 |
About Kejun Wang
Kejun Wang is a scholar working on Molecular Biology, Cancer Research, Genetics, Animal Science and Zoology and Biomedical Engineering, having authored 160 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (33 papers), Genetic and phenotypic traits in livestock (29 papers), Genetic Mapping and Diversity in Plants and Animals (20 papers), MicroRNA in disease regulation (12 papers), RNA Research and Splicing (10 papers), Circular RNAs in diseases (10 papers), RNA modifications and cancer (9 papers) and Animal Nutrition and Physiology (9 papers). The work is most often cited by research in Inorganic Chemistry (392 citations), Cancer Research (262 citations), Animal Science and Zoology (150 citations), Genetics (373 citations) and Materials Chemistry (517 citations). Kejun Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xuzhong Luo, Yunlong Liu, Di‐Chang Zhong, Hui-Jin Liu, Ji‐Hua Deng, Bo He, A. Keith Dunker, Vladimir N. Uversky, Bin Xue and Jinlian Zhong. Their work appears in journals such as Animals, BMC Genomics, Poultry Science, Animal Genetics 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.