Jiang Wang
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Oncology top 10%
- Inflammatory Biomarkers in Disease Prognosis
- Pancreatic and Hepatic Oncology Research
Papers in
-
- Epigenetics and DNA Methylation 4
- CRISPR and Genetic Engineering 3
- Plant tissue culture and regeneration 3
- Oncology 14
- Pancreatic and Hepatic Oncology Research 5
- Inflammatory Biomarkers in Disease Prognosis 3
- Co-authors
- Xianjun Yu (6 shared papers)Liang Liu (4 shared papers)Yingjian Jiang (1 shared paper)Dianliang Zhang (1 shared paper)Chang Li (1 shared paper)Gang Long (2 shared papers)Xiyu Liu (2 shared papers)Long‐Yun Ye (2 shared papers)
- Journals
- Theranostics (2 papers)Journal of Integrative Plant Biology (2 papers)Oncogene (2 papers)Clinical & Translational Oncology (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Jiang Wang
47 papers receiving 1000 citations
Peers
Comparison fields: 5 of 127
- Cancer Research 197
- Oncology 248
- Molecular Biology 488
- Hepatology 51
- Pulmonary and Respiratory Medicine 149
Countries citing papers authored by Jiang Wang
This map shows the geographic impact of Jiang 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 Jiang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiang Wang more than expected).
Fields of papers citing papers by Jiang Wang
This network shows the impact of papers produced by Jiang 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 Jiang Wang. The network helps show where Jiang Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiang 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 117 | |
| 2 | 2020 | 85 | |
| 3 | 2020 | 66 | |
| 4 | 2018 | 60 | |
| 5 | 2020 | 57 | |
| 6 | 2020 | 44 | |
| 7 | 2017 | 43 | |
| 8 | 2019 | 41 | |
| 9 | 2016 | 40 | |
| 10 | 2017 | 37 | |
| 11 | 2020 | 32 | |
| 12 | 2014 | 31 | |
| 13 | 2010 | 26 | |
| 14 | 2017 | 26 | |
| 15 | 2016 | 25 | |
| 16 | 2017 | 24 | |
| 17 | 2020 | 22 | |
| 18 | 2017 | 20 | |
| 19 | 2018 | 18 | |
| 20 | 2020 | 17 |
About Jiang Wang
Jiang Wang is a scholar working on Molecular Biology, Oncology, Plant Science, Pulmonary and Respiratory Medicine and Hepatology, having authored 52 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (5 papers), Epigenetics and DNA Methylation (4 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers), CRISPR and Genetic Engineering (3 papers), Complex Network Analysis Techniques (3 papers), Opinion Dynamics and Social Influence (3 papers), Plant tissue culture and regeneration (3 papers) and Hepatitis C virus research (3 papers). The work is most often cited by research in Cancer Research (197 citations), Oncology (248 citations), Molecular Biology (488 citations), Hepatology (51 citations) and Pulmonary and Respiratory Medicine (149 citations). Jiang Wang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Xianjun Yu, Liang Liu, Yingjian Jiang, Dianliang Zhang, Chang Li, Gang Long, Xiyu Liu, Long‐Yun Ye, Shuo Li and Tianjiao Li. Their work appears in journals such as Theranostics, Journal of Integrative Plant Biology, Oncogene, Clinical & Translational Oncology and Scientific Reports.
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.