Wenjun Yang
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment
- Autophagy in Disease and Therapy
Papers in
- Epidemiology 17
- Liver Disease Diagnosis and Treatment 14
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- RNA modifications and cancer 4
- Circular RNAs in diseases 3
- Co-authors
- Ping Hu (3 shared papers)Junping Shi (21 shared papers)Longping Wen (3 shared papers)Qiyu Zhang (7 shared papers)Yunfeng Shan (5 shared papers)Yunpeng Sun (5 shared papers)Zhenjie Zhuang (14 shared papers)Na Man (2 shared papers)
- Journals
- Clinical and Experimental Pharmacology and Physiology (2 papers)Obesity (2 papers)Liver International (2 papers)Clinica Chimica Acta (2 papers)BioMed Research International (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Wenjun Yang
63 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 114
- Cancer Research 209
- Epidemiology 387
- Rehabilitation 74
- Molecular Biology 641
- Hepatology 67
Countries citing papers authored by Wenjun Yang
This map shows the geographic impact of Wenjun Yang'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 Wenjun Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenjun Yang more than expected).
Fields of papers citing papers by Wenjun Yang
This network shows the impact of papers produced by Wenjun Yang. 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 Wenjun Yang. The network helps show where Wenjun Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wenjun Yang, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 237 | |
| 2 | 2009 | 158 | |
| 3 | 2018 | 76 | |
| 4 | 2014 | 70 | |
| 5 | 2014 | 69 | |
| 6 | 2015 | 63 | |
| 7 | 2019 | 52 | |
| 8 | 2018 | 51 | |
| 9 | 2016 | 45 | |
| 10 | 2008 | 44 | |
| 11 | 2021 | 38 | |
| 12 | 2019 | 37 | |
| 13 | 2019 | 37 | |
| 14 | 2020 | 37 | |
| 15 | 2015 | 33 | |
| 16 | 2020 | 32 | |
| 17 | 2021 | 31 | |
| 18 | 2019 | 31 | |
| 19 | 2017 | 29 | |
| 20 | 2020 | 28 |
About Wenjun Yang
Wenjun Yang is a scholar working on Epidemiology, Molecular Biology, Cancer Research, Endocrinology, Diabetes and Metabolism and Surgery, having authored 64 papers that have together received 1.6k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (14 papers), Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (6 papers), Diet, Metabolism, and Disease (5 papers), RNA modifications and cancer (4 papers), Lipid metabolism and disorders (3 papers), Circular RNAs in diseases (3 papers) and Liver Disease and Transplantation (3 papers). The work is most often cited by research in Cancer Research (209 citations), Epidemiology (387 citations), Rehabilitation (74 citations), Molecular Biology (641 citations) and Hepatology (67 citations). Wenjun Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ping Hu, Junping Shi, Longping Wen, Qiyu Zhang, Yunfeng Shan, Yunpeng Sun, Zhenjie Zhuang, Na Man, Kejing Sun and Yan Luo. Their work appears in journals such as Clinical and Experimental Pharmacology and Physiology, Obesity, Liver International, Clinica Chimica Acta and BioMed Research International.
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.