Shan Pan
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Circular RNAs in diseases
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- RNA Research and Splicing
Papers in
-
- Circular RNAs in diseases 3
- RNA modifications and cancer 3
- Histone Deacetylase Inhibitors Research 2
- Oncology 7
- PARP inhibition in cancer therapy 2
- Peptidase Inhibition and Analysis 2
- Co-authors
- Qiuping Zhang (16 shared papers)Jie Xiong (11 shared papers)Qian Yin (9 shared papers)R. Xiao (9 shared papers)Muhammad Jamal (10 shared papers)Tian Xie (5 shared papers)Liang Shao (8 shared papers)Yingjie Wu (5 shared papers)
In The Last Decade
Shan Pan
27 papers receiving 680 citations
Peers
Comparison fields: 5 of 78
- Cancer Research 214
- Molecular Biology 367
- Immunology 84
- Oncology 79
- Hematology 28
Countries citing papers authored by Shan Pan
This map shows the geographic impact of Shan 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 Shan Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shan Pan more than expected).
Fields of papers citing papers by Shan Pan
This network shows the impact of papers produced by Shan 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 Shan Pan. The network helps show where Shan Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Shan 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 140 | |
| 2 | 2017 | 62 | |
| 3 | 2019 | 59 | |
| 4 | 2018 | 52 | |
| 5 | 2016 | 46 | |
| 6 | 2019 | 40 | |
| 7 | 2019 | 33 | |
| 8 | 2016 | 32 | |
| 9 | 2017 | 30 | |
| 10 | 2020 | 25 | |
| 11 | 2018 | 22 | |
| 12 | 2018 | 19 | |
| 13 | 2019 | 14 | |
| 14 | 2019 | 14 | |
| 15 | 2017 | 13 | |
| 16 | 2019 | 13 | |
| 17 | 2009 | 12 | |
| 18 | 2008 | 12 | |
| 19 | 2021 | 12 | |
| 20 | 2020 | 11 |
About Shan Pan
Shan Pan is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Epidemiology, having authored 27 papers that have together received 686 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (3 papers), RNA modifications and cancer (3 papers), PARP inhibition in cancer therapy (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Cancer Research (214 citations), Molecular Biology (367 citations), Immunology (84 citations), Oncology (79 citations) and Hematology (28 citations). Shan Pan has collaborated with scholars based in China, Hong Kong and Germany. Frequent co-authors include Qiuping Zhang, Jie Xiong, Qian Yin, R. Xiao, Muhammad Jamal, Tian Xie, Liang Shao, Yingjie Wu, Meng Xiong and Zhenbo Tu. Their work appears in journals such as Journal of Cellular Biochemistry, International Journal of Oncology, Journal of Hematology & Oncology, Cancer Cell International and International Journal of Gynecological Cancer.
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.