Li Pan

1.1k citations
40 papers · 873 · h-index 18

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Cytokine Signaling Pathways and Interactions
    • Cancer-related molecular mechanisms research

Papers in

    • Retinal Development and Disorders 4
    • RNA regulation and disease 3
    • Cytokine Signaling Pathways and Interactions 6
    • Cancer-related Molecular Pathways 3

Li Pan

40 papers receiving 864 citations

Peers

Li Pan
Comparison fields: 5 of 85
  • Oncology 232
  • Cancer Research 100
  • Otorhinolaryngology 28
  • Molecular Biology 393
  • Pathology and Forensic Medicine 94
Replace Jun Suk Kim with:
Jun Suk Kim South Korea
Kun-Tu Yeh Taiwan
Jens Hasskarl United States
Cheng‐Yu Wu China
Dan Yue China
Young A. Yoo South Korea
Qing Xiang China
Yen-An Tang Taiwan
Yunhee Lee South Korea
Liwei Lang United States
Li Pan relative to Jun Suk Kim South Korea Jun Suk Kim's profile →
Citations per field
00.5×10×
Jun Suk Kim · 1×
Citations per year

Countries citing papers authored by Li Pan

Since Specialization
Citations

This map shows the geographic impact of Li 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 Li Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Pan more than expected).

Fields of papers citing papers by Li Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li 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 Li Pan. The network helps show where Li Pan may publish in the future.

Co-authors

The 25 scholars most cited alongside Li 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 Li Pan Line = papers co-authored together Li Pan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018120
2 201963
3 201163
4 201952
5 200640
6 201439
7 201738
8 201233
9 201933
10 201431
11 201827
12 201126
13 201325
14 201724
15 201923
16 202019
17 201819
18 201618
19 201716
20 202114

About Li Pan

Li Pan is a scholar working on Molecular Biology, Oncology, Cell Biology, Pathology and Forensic Medicine and Pharmacology, having authored 40 papers that have together received 873 indexed citations. Recurring topics across this work include melanin and skin pigmentation (6 papers), Cytokine Signaling Pathways and Interactions (6 papers), Cancer Mechanisms and Therapy (4 papers), Retinal Development and Disorders (4 papers), RNA regulation and disease (3 papers), Cancer-related Molecular Pathways (3 papers), Immunotherapy and Immune Responses (2 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Oncology (232 citations), Cancer Research (100 citations), Otorhinolaryngology (28 citations), Molecular Biology (393 citations) and Pathology and Forensic Medicine (94 citations). Li Pan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lei Wu, Churong Li, Jiayuh Lin, Ling Hou, Jin Yang, Huirong Li, Shengling Fu, Michael R. Grever, David Lucas and Hui‐Wen Lo. Their work appears in journals such as Experimental Cell Research, Breast Cancer Research and Treatment, Biomedicine & Pharmacotherapy, Thrombosis Research and Journal of environmental chemical engineering.

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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