Shan Pan

887 citations
30 papers · 671 · h-index 14

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation

Papers in

    • RNA modifications and cancer 7
    • Circular RNAs in diseases 3
    • Histone Deacetylase Inhibitors Research 2
    • Peptidase Inhibition and Analysis 3

Shan Pan

30 papers receiving 665 citations

Peers

Shan Pan
Comparison fields: 5 of 84
  • Cancer Research 253
  • Molecular Biology 421
  • Immunology 95
  • Oncology 100
  • Hematology 34
Replace Wensheng Qiu with:
Wensheng Qiu China
Pierre‐Benoit Ancey France
Hyo Won Chang South Korea
Foad Katirai China
Fenju Liu China
Murali K. Ravoori United States
Byung-Kyu Ryu South Korea
Xiuling Li China
Renata Binato Brazil
Tao Ma China
Shan Pan relative to Wensheng Qiu China Wensheng Qiu's profile →
Citations per field
00.5×1.5×
Wensheng Qiu · 1×
Citations per year

Countries citing papers authored by Shan Pan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Shan Pan Line = papers co-authored together Shan Pan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020133
2 201762
3 201958
4 201847
5 201644
6 201940
7 201932
8 201632
9 201728
10 202025
11 201822
12 201819
13 201914
14 201913
15 200812
16 202112
17 200912
18 201712
19 201911
20 202011

About Shan Pan

Shan Pan is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Surgery, having authored 30 papers that have together received 671 indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), Immune Cell Function and Interaction (5 papers), Cancer-related molecular mechanisms research (5 papers), Circular RNAs in diseases (3 papers), Peptidase Inhibition and Analysis (3 papers), Nanoparticle-Based Drug Delivery (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Dendrimers and Hyperbranched Polymers (2 papers). The work is most often cited by research in Cancer Research (253 citations), Molecular Biology (421 citations), Immunology (95 citations), Oncology (100 citations) and Hematology (34 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 Wen Yuan. Their work appears in journals such as Journal of Cellular Biochemistry, International Journal of Oncology, Journal of Visualized Experiments, Cell Metabolism 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.

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