Wenjun Wang
Impact in
- Pharmacology top 10%
- Apelin-related biomedical research
Papers in
-
- Mitochondrial Function and Pathology 7
- Epigenetics and DNA Methylation 4
- Ubiquitin and proteasome pathways 4
- Epidemiology 13
- Autophagy in Disease and Therapy 8
- Liver Disease Diagnosis and Treatment 4
- Co-authors
- Jianshuang Li (11 shared papers)Ling Zheng (8 shared papers)Kun Huang (3 shared papers)Qinghua Zhou (8 shared papers)Yu Sun (2 shared papers)Hong Chen (2 shared papers)Lin Wang (2 shared papers)Danyang Wan (2 shared papers)
- Journals
- Nature Communications (3 papers)Autophagy (2 papers)Biomedicine & Pharmacotherapy (2 papers)Journal of Agricultural and Food Chemistry (2 papers)Diabetes & Metabolism (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Wenjun Wang
37 papers receiving 817 citations
Peers
Comparison fields: 5 of 99
- Pharmacology 130
- Cancer Research 86
- Molecular Biology 378
- Geriatrics and Gerontology 21
- Pathology and Forensic Medicine 85
Countries citing papers authored by Wenjun Wang
This map shows the geographic impact of Wenjun 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 Wenjun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenjun Wang more than expected).
Fields of papers citing papers by Wenjun Wang
This network shows the impact of papers produced by Wenjun 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 Wenjun Wang. The network helps show where Wenjun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wenjun 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 124 | |
| 2 | 2017 | 82 | |
| 3 | 2019 | 61 | |
| 4 | 2015 | 57 | |
| 5 | 2021 | 52 | |
| 6 | 2017 | 50 | |
| 7 | 2017 | 37 | |
| 8 | 2018 | 31 | |
| 9 | 2019 | 27 | |
| 10 | 2019 | 26 | |
| 11 | 2023 | 25 | |
| 12 | 2019 | 23 | |
| 13 | 2024 | 20 | |
| 14 | 2018 | 19 | |
| 15 | 2017 | 19 | |
| 16 | 2023 | 18 | |
| 17 | 2021 | 17 | |
| 18 | 2022 | 14 | |
| 19 | 2014 | 14 | |
| 20 | 2009 | 13 |
About Wenjun Wang
Wenjun Wang is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Surgery and Pathology and Forensic Medicine, having authored 38 papers that have together received 821 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (8 papers), Endoplasmic Reticulum Stress and Disease (7 papers), Mitochondrial Function and Pathology (7 papers), Epigenetics and DNA Methylation (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Ubiquitin and proteasome pathways (4 papers), Retinal Diseases and Treatments (3 papers) and Spine and Intervertebral Disc Pathology (3 papers). The work is most often cited by research in Pharmacology (130 citations), Cancer Research (86 citations), Molecular Biology (378 citations), Geriatrics and Gerontology (21 citations) and Pathology and Forensic Medicine (85 citations). Wenjun Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jianshuang Li, Ling Zheng, Kun Huang, Qinghua Zhou, Yu Sun, Hong Chen, Lin Wang, Danyang Wan, Yuhao Zhang and Yu Zhang. Their work appears in journals such as Nature Communications, Autophagy, Biomedicine & Pharmacotherapy, Journal of Agricultural and Food Chemistry and Diabetes & Metabolism.
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.