Li Pan
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Cytokine Signaling Pathways and Interactions
- Otorhinolaryngology top 10%
Papers in
-
- Retinal Development and Disorders 5
- RNA regulation and disease 3
- Phytochemical compounds biological activities 3
- Oncology 14
- Cytokine Signaling Pathways and Interactions 6
- Cancer-related Molecular Pathways 5
- Cancer Immunotherapy and Biomarkers 3
- Co-authors
- Lei Wu (1 shared paper)Churong Li (1 shared paper)Jiayuh Lin (7 shared papers)Ling Hou (7 shared papers)Jin Yang (1 shared paper)Huirong Li (5 shared papers)David Lucas (3 shared papers)Michael R. Grever (3 shared papers)
- Journals
- Biomedicine & Pharmacotherapy (2 papers)Breast Cancer Research and Treatment (2 papers)Experimental Cell Research (2 papers)Scientific Reports (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Li Pan
39 papers receiving 835 citations
Peers
Comparison fields: 5 of 91
- Oncology 260
- Otorhinolaryngology 40
- Cancer Research 114
- Molecular Biology 440
- Cell Biology 95
Countries citing papers authored by Li Pan
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
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.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 116 | |
| 2 | 2011 | 63 | |
| 3 | 2019 | 59 | |
| 4 | 2019 | 52 | |
| 5 | 2006 | 39 | |
| 6 | 2014 | 38 | |
| 7 | 2017 | 38 | |
| 8 | 2019 | 33 | |
| 9 | 2012 | 33 | |
| 10 | 2014 | 31 | |
| 11 | 2018 | 27 | |
| 12 | 2011 | 26 | |
| 13 | 2013 | 25 | |
| 14 | 2017 | 23 | |
| 15 | 2019 | 22 | |
| 16 | 2018 | 19 | |
| 17 | 2020 | 18 | |
| 18 | 2016 | 17 | |
| 19 | 2017 | 16 | |
| 20 | 2021 | 14 |
About Li Pan
Li Pan is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Cell Biology and Immunology, having authored 40 papers that have together received 844 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (6 papers), melanin and skin pigmentation (6 papers), Cancer-related Molecular Pathways (5 papers), Cancer Mechanisms and Therapy (5 papers), Retinal Development and Disorders (5 papers), RNA regulation and disease (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Phytochemical compounds biological activities (3 papers). The work is most often cited by research in Oncology (260 citations), Otorhinolaryngology (40 citations), Cancer Research (114 citations), Molecular Biology (440 citations) and Cell Biology (95 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, David Lucas, Michael R. Grever, Shengling Fu and A. Douglas Kinghorn. Their work appears in journals such as Biomedicine & Pharmacotherapy, Breast Cancer Research and Treatment, Experimental Cell Research, Scientific Reports and Clinical Cancer Research.
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.