Junwei Tang
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- Cancer-related molecular mechanisms research 18
- MicroRNA in disease regulation 4
- Surgery 15
- Congenital gastrointestinal and neural anomalies 15
- Co-authors
- Beicheng Sun (13 shared papers)Runqiu Jiang (12 shared papers)Lei Deng (8 shared papers)Jie Ji (2 shared papers)Yu Xie (4 shared papers)Ke Wang (2 shared papers)Yankai Xia (16 shared papers)Peng Yang (5 shared papers)
- Journals
- Cellular Physiology and Biochemistry (7 papers)Cell Death and Disease (6 papers)Journal of Experimental & Clinical Cancer Research (4 papers)Journal of Cellular and Molecular Medicine (4 papers)Oncotarget (4 papers)
- Partner nations
- ChinaUnited StatesHungary
In The Last Decade
Junwei Tang
84 papers receiving 3k citations
Peers
Comparison fields: 5 of 93
- Cancer Research 1.2k
- Hepatology 168
- Molecular Biology 889
- Health Informatics 30
- Pollution 129
Countries citing papers authored by Junwei Tang
This map shows the geographic impact of Junwei Tang'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 Junwei Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junwei Tang more than expected).
Fields of papers citing papers by Junwei Tang
This network shows the impact of papers produced by Junwei Tang. 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 Junwei Tang. The network helps show where Junwei Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junwei Tang, 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 312 | |
| 2 | 2017 | 297 | |
| 3 | 2015 | 194 | |
| 4 | 2015 | 130 | |
| 5 | 2015 | 129 | |
| 6 | 2015 | 127 | |
| 7 | 2022 | 127 | |
| 8 | 2022 | 124 | |
| 9 | 2017 | 108 | |
| 10 | 2015 | 65 | |
| 11 | 2018 | 57 | |
| 12 | 2020 | 57 | |
| 13 | 2016 | 53 | |
| 14 | 2014 | 49 | |
| 15 | 2020 | 45 | |
| 16 | 2021 | 43 | |
| 17 | 2013 | 41 | |
| 18 | 2014 | 41 | |
| 19 | 2015 | 40 | |
| 20 | 2019 | 39 |
About Junwei Tang
Junwei Tang is a scholar working on Cancer Research, Surgery, Molecular Biology, Hepatology and Oncology, having authored 88 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (18 papers), Congenital gastrointestinal and neural anomalies (15 papers), Circular RNAs in diseases (7 papers), Plant Molecular Biology Research (5 papers), Ubiquitin and proteasome pathways (4 papers), MicroRNA in disease regulation (4 papers), Lignin and Wood Chemistry (4 papers) and Plant Stress Responses and Tolerance (3 papers). The work is most often cited by research in Cancer Research (1.2k citations), Hepatology (168 citations), Molecular Biology (889 citations), Health Informatics (30 citations) and Pollution (129 citations). Junwei Tang has collaborated with scholars based in China, United States and Hungary. Frequent co-authors include Beicheng Sun, Runqiu Jiang, Lei Deng, Jie Ji, Yu Xie, Ke Wang, Yankai Xia, Peng Yang, Dongjian Ji and Xudong Zhang. Their work appears in journals such as Cellular Physiology and Biochemistry, Cell Death and Disease, Journal of Experimental & Clinical Cancer Research, Journal of Cellular and Molecular Medicine and Oncotarget.
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.