Wenjing Wang
Impact in
- Aging top 1%
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- RNA modifications and cancer 24
- Circular RNAs in diseases 16
- Renal and related cancers 10
- Gut microbiota and health 10
-
- Cancer-related molecular mechanisms research 29
- MicroRNA in disease regulation 19
- Co-authors
- Wen Di (12 shared papers)Yifeng He (2 shared papers)Aimin Zhao (1 shared paper)Meiying Zhang (1 shared paper)Qing Yun Li (1 shared paper)Xiangjun Sun (1 shared paper)Qing Sang (14 shared papers)Lei Wang (14 shared papers)
- Journals
- Poultry Science (6 papers)International Journal of Molecular Sciences (4 papers)PLoS ONE (4 papers)Scientific Reports (4 papers)International Journal of Biological Macromolecules (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Wenjing Wang
269 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 157
- Aging 163
- Cancer Research 813
- Immunology 875
- Reproductive Medicine 321
- Molecular Biology 2.5k
Countries citing papers authored by Wenjing Wang
This map shows the geographic impact of Wenjing 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 Wenjing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenjing Wang more than expected).
Fields of papers citing papers by Wenjing Wang
This network shows the impact of papers produced by Wenjing 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 Wenjing Wang. The network helps show where Wenjing Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wenjing 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 290 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 407 | |
| 2 | 2009 | 228 | |
| 3 | 2017 | 202 | |
| 4 | 2020 | 109 | |
| 5 | 2019 | 103 | |
| 6 | 2019 | 102 | |
| 7 | 2019 | 92 | |
| 8 | 2019 | 87 | |
| 9 | 2012 | 86 | |
| 10 | 2018 | 83 | |
| 11 | 2021 | 77 | |
| 12 | 2012 | 75 | |
| 13 | 2021 | 68 | |
| 14 | 2021 | 68 | |
| 15 | 2014 | 65 | |
| 16 | 2017 | 61 | |
| 17 | 2018 | 58 | |
| 18 | 2015 | 55 | |
| 19 | 2021 | 54 | |
| 20 | 2020 | 51 |
About Wenjing Wang
Wenjing Wang is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Immunology and Genetics, having authored 290 papers that have together received 5.1k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (29 papers), RNA modifications and cancer (24 papers), MicroRNA in disease regulation (19 papers), Circular RNAs in diseases (16 papers), Reproductive Biology and Fertility (16 papers), Reproductive System and Pregnancy (11 papers), Renal and related cancers (10 papers) and Gut microbiota and health (10 papers). The work is most often cited by research in Aging (163 citations), Cancer Research (813 citations), Immunology (875 citations), Reproductive Medicine (321 citations) and Molecular Biology (2.5k citations). Wenjing Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wen Di, Yifeng He, Aimin Zhao, Meiying Zhang, Qing Yun Li, Xiangjun Sun, Qing Sang, Lei Wang, Biaobang Chen and Yi Lu. Their work appears in journals such as Poultry Science, International Journal of Molecular Sciences, PLoS ONE, Scientific Reports and International Journal of Biological Macromolecules.
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.