Hanjin Wang
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Microbiology top 10%
- Antimicrobial Peptides and Activities
Papers in
-
- Circular RNAs in diseases 6
- Biochemical and Structural Characterization 4
- RNA modifications and cancer 3
-
- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 4
- Co-authors
- Weiwei Tang (12 shared papers)Zhouxiao Li (7 shared papers)Hongyong Cao (6 shared papers)Dawei Rong (3 shared papers)Jianmin Bian (4 shared papers)Guangshun Sun (4 shared papers)Ye Cheng (4 shared papers)Guoqiang Sun (4 shared papers)
- Journals
- OncoTargets and Therapy (7 papers)Biomedicine & Pharmacotherapy (2 papers)Journal of Oncology (2 papers)Advanced Science (1 paper)Gene (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Hanjin Wang
33 papers receiving 510 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 146
- Microbiology 51
- Molecular Biology 276
- Health, Toxicology and Mutagenesis 41
- Immunology 57
Countries citing papers authored by Hanjin Wang
This map shows the geographic impact of Hanjin 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 Hanjin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanjin Wang more than expected).
Fields of papers citing papers by Hanjin Wang
This network shows the impact of papers produced by Hanjin 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 Hanjin Wang. The network helps show where Hanjin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hanjin 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 72 | |
| 2 | 2017 | 51 | |
| 3 | 2016 | 32 | |
| 4 | 2010 | 29 | |
| 5 | 2018 | 28 | |
| 6 | 2019 | 28 | |
| 7 | 2022 | 25 | |
| 8 | 2017 | 24 | |
| 9 | 2011 | 22 | |
| 10 | 1999 | 19 | |
| 11 | 2022 | 17 | |
| 12 | 2017 | 17 | |
| 13 | 2021 | 16 | |
| 14 | 2024 | 13 | |
| 15 | 2010 | 13 | |
| 16 | 2021 | 12 | |
| 17 | 2024 | 11 | |
| 18 | 2022 | 11 | |
| 19 | 2019 | 11 | |
| 20 | 2020 | 9 |
About Hanjin Wang
Hanjin Wang is a scholar working on Molecular Biology, Cancer Research, Immunology, Microbiology and Oncology, having authored 33 papers that have together received 515 indexed citations. Recurring topics across this work include Circular RNAs in diseases (6 papers), Antimicrobial Peptides and Activities (5 papers), Biochemical and Structural Characterization (4 papers), MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers), Climate Change and Health Impacts (3 papers), Air Quality and Health Impacts (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Cancer Research (146 citations), Microbiology (51 citations), Molecular Biology (276 citations), Health, Toxicology and Mutagenesis (41 citations) and Immunology (57 citations). Hanjin Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Weiwei Tang, Zhouxiao Li, Hongyong Cao, Dawei Rong, Jianmin Bian, Guangshun Sun, Ye Cheng, Guoqiang Sun, Wubin Zheng and Hongwen Zhao. Their work appears in journals such as OncoTargets and Therapy, Biomedicine & Pharmacotherapy, Journal of Oncology, Advanced Science and Gene.
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.