Wangjun Wu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Animal Science and Zoology top 2%
Papers in
-
- RNA Research and Splicing 12
- Circular RNAs in diseases 9
- Genetics 21
- Genetic and phenotypic traits in livestock 9
- Co-authors
- Honglin Liu (41 shared papers)Bojiang Li (24 shared papers)Pinghua Li (12 shared papers)Ruihua Huang (12 shared papers)Qifa Li (12 shared papers)Liming Hou (11 shared papers)Yuanzhu Xiong (12 shared papers)Kaiqing Liu (10 shared papers)
- Journals
- Gene (8 papers)Animals (4 papers)Animal Genetics (4 papers)Theriogenology (2 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesIndonesia
In The Last Decade
Wangjun Wu
75 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 117
- Cancer Research 415
- Animal Science and Zoology 243
- Molecular Biology 1.1k
- Physiology 238
- Geriatrics and Gerontology 31
Countries citing papers authored by Wangjun Wu
This map shows the geographic impact of Wangjun Wu'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 Wangjun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wangjun Wu more than expected).
Fields of papers citing papers by Wangjun Wu
This network shows the impact of papers produced by Wangjun Wu. 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 Wangjun Wu. The network helps show where Wangjun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wangjun Wu, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 292 | |
| 2 | 2017 | 103 | |
| 3 | 2017 | 93 | |
| 4 | 2014 | 84 | |
| 5 | 2018 | 61 | |
| 6 | 2016 | 60 | |
| 7 | 2018 | 59 | |
| 8 | 2018 | 59 | |
| 9 | 2015 | 47 | |
| 10 | 2016 | 46 | |
| 11 | 2015 | 44 | |
| 12 | 2014 | 42 | |
| 13 | 2015 | 39 | |
| 14 | 2014 | 34 | |
| 15 | 2014 | 33 | |
| 16 | 2017 | 33 | |
| 17 | 2022 | 32 | |
| 18 | 2020 | 31 | |
| 19 | 2016 | 31 | |
| 20 | 2020 | 29 |
About Wangjun Wu
Wangjun Wu is a scholar working on Molecular Biology, Genetics, Cancer Research, Animal Science and Zoology and Physiology, having authored 78 papers that have together received 1.9k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (14 papers), Adipose Tissue and Metabolism (13 papers), Cancer-related molecular mechanisms research (13 papers), RNA Research and Splicing (12 papers), Meat and Animal Product Quality (12 papers), Reproductive Biology and Fertility (10 papers), Genetic and phenotypic traits in livestock (9 papers) and Circular RNAs in diseases (9 papers). The work is most often cited by research in Cancer Research (415 citations), Animal Science and Zoology (243 citations), Molecular Biology (1.1k citations), Physiology (238 citations) and Geriatrics and Gerontology (31 citations). Wangjun Wu has collaborated with scholars based in China, United States and Indonesia. Frequent co-authors include Honglin Liu, Bojiang Li, Pinghua Li, Ruihua Huang, Qifa Li, Liming Hou, Yuanzhu Xiong, Kaiqing Liu, Zhuqing Ren and Rongyang Li. Their work appears in journals such as Gene, Animals, Animal Genetics, Theriogenology and Scientific Reports.
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.