Wen Pan
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Immunology top 5%
- Immune Cell Function and Interaction
Papers in
-
- Circular RNAs in diseases 7
- RNA modifications and cancer 5
- Immunology 12
- Co-authors
- Shu Zhu (12 shared papers)Nan Shen (5 shared papers)Yuanjia Tang (2 shared papers)Huijuan Cui (3 shared papers)Youcun Qian (3 shared papers)Lijia Wang (1 shared paper)Jia Li (1 shared paper)Min Yuan (1 shared paper)
- Journals
- Annals of Translational Medicine (3 papers)Pharmacology (3 papers)Scientific Reports (3 papers)International Journal of Cardiology (2 papers)Cell Host & Microbe (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Wen Pan
75 papers receiving 3.4k citations
Wen Pan's Hit Papers
Peers
Comparison fields: 5 of 127
- Cancer Research 917
- Immunology 803
- Molecular Biology 1.7k
- Rheumatology 273
- Hepatology 124
Countries citing papers authored by Wen Pan
This map shows the geographic impact of Wen 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 Wen Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen Pan more than expected).
Fields of papers citing papers by Wen Pan
This network shows the impact of papers produced by Wen 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 Wen Pan. The network helps show where Wen Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Wen 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 483 | |
| 2 | 2010 | 449 | |
| 3 | The microRNA miR-23b suppresses IL-17-associated autoimmune inflammation by targeting TAB2, TAB3 and IKK-α Hit paper breakdown → | 2012 | 371 |
| 4 | 2015 | 221 | |
| 5 | 2012 | 211 | |
| 6 | 2021 | 160 | |
| 7 | 2017 | 145 | |
| 8 | 2010 | 118 | |
| 9 | 2019 | 99 | |
| 10 | 2010 | 97 | |
| 11 | 2011 | 85 | |
| 12 | 2017 | 68 | |
| 13 | 2018 | 62 | |
| 14 | 2013 | 56 | |
| 15 | 2022 | 41 | |
| 16 | 2016 | 37 | |
| 17 | 2015 | 35 | |
| 18 | 2018 | 35 | |
| 19 | 2019 | 35 | |
| 20 | 2017 | 34 |
About Wen Pan
Wen Pan is a scholar working on Molecular Biology, Immunology, Cancer Research, Cell Biology and Epidemiology, having authored 78 papers that have together received 3.4k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (10 papers), Circular RNAs in diseases (7 papers), Zebrafish Biomedical Research Applications (7 papers), Neuroscience of respiration and sleep (5 papers), Physiological and biochemical adaptations (5 papers), Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Cancer Research (917 citations), Immunology (803 citations), Molecular Biology (1.7k citations), Rheumatology (273 citations) and Hepatology (124 citations). Wen Pan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Shu Zhu, Nan Shen, Yuanjia Tang, Huijuan Cui, Youcun Qian, Lijia Wang, Jia Li, Min Yuan, Haibo Zhou and Xiaobing Luo. Their work appears in journals such as Annals of Translational Medicine, Pharmacology, Scientific Reports, International Journal of Cardiology and Cell Host & Microbe.
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.