Pan Shen
- Pharmacology top 5%
- Pharmacological Effects of Natural Compounds 7
- Cancer Research top 10%
- Geriatrics and Gerontology top 5%
- Immunology top 10%
- Immune Cell Function and Interaction 4
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- Natural Compounds in Disease Treatment 3
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- Rheumatoid Arthritis Research and Therapies 11
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- Cytokine Signaling Pathways and Interactions 7
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- Inflammasome and immune disorders 5
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- Autoimmune and Inflammatory Disorders Research 3
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- COVID-19 Clinical Research Studies 3
- Journals
- Journal of Ethnopharmacology (7 papers)Frontiers in Immunology (6 papers)Evidence-based Complementary and Alternative Medicine (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Pan Shen
56 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 107
- Pharmacology 146
- Cancer Research 220
- Geriatrics and Gerontology 56
- Immunology 260
- Complementary and alternative medicine 98
Countries citing papers authored by Pan Shen
This map shows the geographic impact of Pan Shen'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 Pan Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pan Shen more than expected).
Fields of papers citing papers by Pan Shen
This network shows the impact of papers produced by Pan Shen. 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 Pan Shen. The network helps show where Pan Shen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pan Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 5 | |
| 10 | 2024 | 11 | |
| 11 | 2023 | 11 | |
| 12 | 2022 | 8 | |
| 13 | 2022 | 37 | |
| 14 | 2021 | 9 | |
| 15 | 2021 | 65 | |
| 16 | 2021 | 4 | |
| 17 | 2020 | 6 | |
| 18 | 2020 | 24 | |
| 19 | 2020 | 21 | |
| 20 | 2019 | 12 |
About Pan Shen
Pan Shen is a scholar working on Pharmacology, Rheumatology, Complementary and alternative medicine, Aging and Immunology, having authored 59 papers that have together received 1.4k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (11 papers), Pharmacological Effects of Natural Compounds (7 papers), Cytokine Signaling Pathways and Interactions (7 papers), Inflammasome and immune disorders (5 papers), Immune Cell Function and Interaction (4 papers), Autoimmune and Inflammatory Disorders Research (3 papers), Natural Compounds in Disease Treatment (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Pharmacology (146 citations), Cancer Research (220 citations), Geriatrics and Gerontology (56 citations), Immunology (260 citations) and Complementary and alternative medicine (98 citations). Pan Shen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shenghao Tu, Ying Huang, Xin Ba, Kai Qin, Weiji Lin, Liang Han, Yao Huang, Xuan Deng, Zhe Chen and Zhe Chen. Their work appears in journals such as Journal of Ethnopharmacology, Frontiers in Immunology, Evidence-based Complementary and Alternative Medicine, Frontiers in Pharmacology and Frontiers in Medicine.
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.