Tiejun Pan
Impact in
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- Cancer, Hypoxia, and Metabolism
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- Multi-Criteria Decision Making
Papers in
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- Kidney Stones and Urolithiasis Treatments 10
- Co-authors
- Shouzhen Zeng (4 shared papers)Jiarong Yang (3 shared papers)Zhangqun Ye (4 shared papers)Xiaoyan Yang (1 shared paper)Jingjing Shen (1 shared paper)Long‐Cheng Li (3 shared papers)Lei Gao (2 shared papers)Yu Zhou (2 shared papers)
- Journals
- Journal of Intelligent & Fuzzy Systems (2 papers)The Journal of Urology (2 papers)Scientific Reports (1 paper)Cell Biology International (1 paper)International Journal of Environmental Research and Public Health (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Tiejun Pan
56 papers receiving 663 citations
Peers
Comparison fields: 5 of 125
- Cancer Research 136
- Management Science and Operations Research 82
- Molecular Biology 251
- Pulmonary and Respiratory Medicine 119
- Statistics and Probability 26
Countries citing papers authored by Tiejun Pan
This map shows the geographic impact of Tiejun Pan'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 Tiejun Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiejun Pan more than expected).
Fields of papers citing papers by Tiejun Pan
This network shows the impact of papers produced by Tiejun Pan. 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 Tiejun Pan. The network helps show where Tiejun Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Tiejun Pan, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 92 | |
| 2 | 2006 | 43 | |
| 3 | 2010 | 39 | |
| 4 | 2014 | 37 | |
| 5 | 2005 | 35 | |
| 6 | 2014 | 34 | |
| 7 | 2005 | 31 | |
| 8 | 2015 | 30 | |
| 9 | 2014 | 29 | |
| 10 | 2015 | 28 | |
| 11 | 2018 | 28 | |
| 12 | 2014 | 24 | |
| 13 | 2020 | 23 | |
| 14 | 2023 | 22 | |
| 15 | 2008 | 16 | |
| 16 | 2016 | 13 | |
| 17 | 2008 | 11 | |
| 18 | 2013 | 11 | |
| 19 | 2017 | 10 | |
| 20 | 2018 | 10 |
About Tiejun Pan
Tiejun Pan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Information Systems, Management of Technology and Innovation and Computer Networks and Communications, having authored 68 papers that have together received 704 indexed citations. Recurring topics across this work include Kidney Stones and Urolithiasis Treatments (10 papers), Collaboration in agile enterprises (7 papers), Pediatric Urology and Nephrology Studies (6 papers), Multi-Criteria Decision Making (5 papers), IPv6, Mobility, Handover, Networks, Security (5 papers), Fuzzy Systems and Optimization (4 papers), Outsourcing and Supply Chain Management (4 papers) and Caching and Content Delivery (4 papers). The work is most often cited by research in Cancer Research (136 citations), Management Science and Operations Research (82 citations), Molecular Biology (251 citations), Pulmonary and Respiratory Medicine (119 citations) and Statistics and Probability (26 citations). Tiejun Pan has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Shouzhen Zeng, Jiarong Yang, Zhangqun Ye, Xiaoyan Yang, Jingjing Shen, Long‐Cheng Li, Lei Gao, Yu Zhou, Zhong Chen and Xu Zhang. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, The Journal of Urology, Scientific Reports, Cell Biology International and International Journal of Environmental Research and Public Health.
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.