Zhujun Tan
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- RNA modifications and cancer
- Natural product bioactivities and synthesis
- Circular RNAs in diseases
- RNA Research and Splicing
Papers in
-
- Kruppel-like factors research 3
- Natural product bioactivities and synthesis 3
- Bioactive Natural Diterpenoids Research 2
- Cell death mechanisms and regulation 2
- Cancer-related gene regulation 2
- Co-authors
- Maolan Li (20 shared papers)Yingbin Liu (18 shared papers)Xiangsong Wu (17 shared papers)Jiasheng Mu (13 shared papers)Yang Cao (11 shared papers)Runfa Bao (13 shared papers)Yijun Shu (12 shared papers)Hao Weng (12 shared papers)
- Journals
- Molecules (3 papers)Cancer Cell International (2 papers)Tumor Biology (2 papers)Cancer Letters (1 paper)Gene (1 paper)
- Partner nations
- ChinaUnited StatesBangladesh
In The Last Decade
Zhujun Tan
22 papers receiving 925 citations
Peers
Comparison fields: 5 of 84
- Cancer Research 246
- Molecular Biology 595
- Toxicology 25
- Pharmacology 56
- Complementary and alternative medicine 45
Countries citing papers authored by Zhujun Tan
This map shows the geographic impact of Zhujun Tan'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 Zhujun Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhujun Tan more than expected).
Fields of papers citing papers by Zhujun Tan
This network shows the impact of papers produced by Zhujun Tan. 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 Zhujun Tan. The network helps show where Zhujun Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhujun Tan, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 199 | |
| 2 | 2014 | 80 | |
| 3 | 2013 | 66 | |
| 4 | 2014 | 59 | |
| 5 | 2014 | 58 | |
| 6 | 2015 | 53 | |
| 7 | 2014 | 50 | |
| 8 | 2014 | 41 | |
| 9 | 2017 | 41 | |
| 10 | 2012 | 35 | |
| 11 | 2015 | 32 | |
| 12 | 2013 | 30 | |
| 13 | 2013 | 30 | |
| 14 | 2017 | 30 | |
| 15 | 2014 | 28 | |
| 16 | 2013 | 24 | |
| 17 | 2014 | 23 | |
| 18 | 2015 | 22 | |
| 19 | 2014 | 21 | |
| 20 | 2014 | 9 |
About Zhujun Tan
Zhujun Tan is a scholar working on Molecular Biology, Pharmacology, Pathology and Forensic Medicine, Cancer Research and Surgery, having authored 22 papers that have together received 936 indexed citations. Recurring topics across this work include Cancer Mechanisms and Therapy (4 papers), Kruppel-like factors research (3 papers), Natural product bioactivities and synthesis (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Cancer-related molecular mechanisms research (3 papers), Bioactive Natural Diterpenoids Research (2 papers), Cell death mechanisms and regulation (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Cancer Research (246 citations), Molecular Biology (595 citations), Toxicology (25 citations), Pharmacology (56 citations) and Complementary and alternative medicine (45 citations). Zhujun Tan has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Maolan Li, Yingbin Liu, Xiangsong Wu, Jiasheng Mu, Yang Cao, Runfa Bao, Yijun Shu, Hao Weng, Qian Ding and Yunping Hu. Their work appears in journals such as Molecules, Cancer Cell International, Tumor Biology, Cancer Letters 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.