Zhujun Tan
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Natural product bioactivities and synthesis
- Circular RNAs in diseases
- RNA Research and Splicing
Papers in
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- Cell death mechanisms and regulation 4
- Kruppel-like factors research 3
- Signaling Pathways in Disease 2
- Bioactive Natural Diterpenoids Research 2
- Cancer therapeutics and mechanisms 2
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- Cancer-related molecular mechanisms research 3
- Co-authors
- Maolan Li (19 shared papers)Yingbin Liu (17 shared papers)Xiangsong Wu (16 shared papers)Jiasheng Mu (12 shared papers)Yang Cao (10 shared papers)Runfa Bao (12 shared papers)Yijun Shu (11 shared papers)Hao Weng (11 shared papers)
- Journals
- Molecules (3 papers)Tumor Biology (2 papers)Cancer Cell International (2 papers)Gene (1 paper)Oncology Reports (1 paper)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Zhujun Tan
21 papers receiving 880 citations
Peers
Comparison fields: 5 of 87
- Cancer Research 274
- Molecular Biology 662
- Toxicology 28
- Pharmacology 61
- Complementary and alternative medicine 47
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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 199 | |
| 2 | 2014 | 77 | |
| 3 | 2013 | 65 | |
| 4 | 2014 | 59 | |
| 5 | 2014 | 58 | |
| 6 | 2015 | 53 | |
| 7 | 2014 | 50 | |
| 8 | 2017 | 41 | |
| 9 | 2014 | 41 | |
| 10 | 2012 | 34 | |
| 11 | 2013 | 29 | |
| 12 | 2013 | 29 | |
| 13 | 2017 | 29 | |
| 14 | 2014 | 28 | |
| 15 | 2013 | 23 | |
| 16 | 2014 | 23 | |
| 17 | 2014 | 21 | |
| 18 | 2015 | 19 | |
| 19 | 2014 | 9 | |
| 20 | 2014 | 4 |
About Zhujun Tan
Zhujun Tan is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Surgery and Pharmacology, having authored 21 papers that have together received 892 indexed citations. Recurring topics across this work include Cancer Mechanisms and Therapy (4 papers), Cell death mechanisms and regulation (4 papers), Kruppel-like factors research (3 papers), Cancer-related molecular mechanisms research (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Signaling Pathways in Disease (2 papers), Bioactive Natural Diterpenoids Research (2 papers) and Cancer therapeutics and mechanisms (2 papers). The work is most often cited by research in Cancer Research (274 citations), Molecular Biology (662 citations), Toxicology (28 citations), Pharmacology (61 citations) and Complementary and alternative medicine (47 citations). Zhujun Tan has collaborated with scholars based in China, United States and India. 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, Tumor Biology, Cancer Cell International, Gene and Oncology 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.