Wen Wang
- Molecular Biology top 10%
- Cancer Research top 5%
- Epidemiology top 10%
- Immunology top 10%
- Oncology
- Topics
- Hepatitis C virus research (9 papers)MicroRNA in disease regulation (8 papers)Ubiquitin and proteasome pathways (7 papers)
- Partner nations
- ChinaUnited StatesCzechia
In The Last Decade
Wen Wang
94 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 1.0k
- Cancer Research 406
- Epidemiology 275
- Immunology 220
- Oncology 214
Countries citing papers authored by Wen Wang
This map shows the geographic impact of Wen 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 Wen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen Wang more than expected).
Fields of papers citing papers by Wen Wang
This network shows the impact of papers produced by Wen 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 Wen Wang. The network helps show where Wen Wang may publish in the future.
Co-authorship network of co-authors of Wen Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Wen Wang. A scholar is included among the top collaborators of Wen Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wen Wang. Wen Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 22 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | 4 | |
| 10 | Acute and chronic hypoxia effect on gills of golden pompano (Trachinotus ovatus). | 1 |
| 11 | 40 | |
| 12 | 13 | |
| 13 | Status Quo of Fishery Resources in the Middle Reach of Brahmaputra River | 8 |
| 14 | Low Dose CT Perfusion Imaging of Normal Liver | 1 |
| 15 | Study on the β_2AR polymorphism in asthmatic abnormal black savda patients | 1 |
| 16 | Hypoglycemic Effects of Cyclocarya paliurus(Batal.)Iljinsk Ethanol Abstracts on Diabetic Mice | 4 |
| 17 | OBSERVATION ON METACERCARIAE AND EXCYSTED METACERCARIAE OF PARAGONIMUS PROLIFERUS BY TRANSMISSION ELECTRON MICROSCOPY | 1 |
| 18 | The Prevention of "Gengnian Chun"on Experimental Primary Osteoporosis in Rats | 1 |
| 19 | Species Investigation and Biological Study on Paragonimus in Jinghong City, Yunnan Province | 1 |
| 20 | PATHOLOGICAL RESEARCH ON CHLAMYDIA-LIKE ORGANISMS IN THE HEPATOPANCREATIC GLAND OF THE BAY SCALLOP,Argopecten irradians (Lamarck) | 1 |
About Wen Wang
Wen Wang is a scholar working on Hepatology, Cancer Research and Geriatrics and Gerontology, having authored 102 papers that have together received 2.0k indexed citations. Recurring topics across this work include Hepatitis C virus research (9 papers), MicroRNA in disease regulation (8 papers) and Ubiquitin and proteasome pathways (7 papers). The work is most often cited by research in Cancer Research (406 citations), Molecular Biology (1.0k citations) and Hepatology (105 citations). Wen Wang has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Zhongtian Qi, Hao Ren, Lan‐Juan Zhao, Ping Zhao, Yexiong Tan, Cui‐Ling Ding, Gang Xu, Fang Yang, Kim H. Parker and Yingping Xiao. Their work appears in journals such as Journal of Clinical Oncology, Hepatology and The Journal of Physiology.
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.