Yan Han
Impact in
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- Nigella sativa pharmacological applications
- Pharmacology top 10%
- Pharmacological Effects of Natural Compounds
Papers in
- Oncology 12
- Global Cancer Incidence and Screening 3
- Inflammatory Biomarkers in Disease Prognosis 2
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- Lanzhou Li (3 shared papers)Shaopeng Li (3 shared papers)Di Wang (2 shared papers)Zong‐Wan Mao (2 shared papers)Liang‐Nian Ji (2 shared papers)Xue Jiang (2 shared papers)Ning Han (1 shared paper)Jing Sun (2 shared papers)
- Journals
- Annals of Surgical Oncology (2 papers)Frontiers in Oncology (2 papers)Journal of Clinical Oncology (2 papers)Colloids and Surfaces A Physicochemical and Engineering Aspects (1 paper)Phytotherapy Research (1 paper)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Yan Han
39 papers receiving 371 citations
Peers
Comparison fields: 5 of 96
- Complementary and alternative medicine 57
- Pharmacology 48
- Nephrology 39
- Toxicology 12
- Oncology 64
Countries citing papers authored by Yan Han
This map shows the geographic impact of Yan Han'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 Yan Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Han more than expected).
Fields of papers citing papers by Yan Han
This network shows the impact of papers produced by Yan Han. 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 Yan Han. The network helps show where Yan Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Han, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 51 | |
| 2 | 2019 | 46 | |
| 3 | 2010 | 43 | |
| 4 | 2020 | 42 | |
| 5 | 2024 | 32 | |
| 6 | 2023 | 17 | |
| 7 | 2010 | 13 | |
| 8 | 2008 | 12 | |
| 9 | 2018 | 11 | |
| 10 | 2019 | 11 | |
| 11 | 2016 | 9 | |
| 12 | 2024 | 7 | |
| 13 | 2019 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2024 | 6 | |
| 16 | 2022 | 6 | |
| 17 | 2024 | 6 | |
| 18 | 2020 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2023 | 4 |
About Yan Han
Yan Han is a scholar working on Oncology, Molecular Biology, Surgery, Pulmonary and Respiratory Medicine and Physiology, having authored 41 papers that have together received 380 indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (3 papers), Pharmacological Effects of Natural Compounds (3 papers), Global Cancer Incidence and Screening (3 papers), Economic and Financial Impacts of Cancer (2 papers), Cancer, Lipids, and Metabolism (2 papers), Acute Myeloid Leukemia Research (2 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Complementary and alternative medicine (57 citations), Pharmacology (48 citations), Nephrology (39 citations), Toxicology (12 citations) and Oncology (64 citations). Yan Han has collaborated with scholars based in China, United States and India. Frequent co-authors include Lanzhou Li, Shaopeng Li, Di Wang, Zong‐Wan Mao, Liang‐Nian Ji, Xue Jiang, Ning Han, Jing Sun, Weiwei Hu and Mohammad Asim. Their work appears in journals such as Annals of Surgical Oncology, Frontiers in Oncology, Journal of Clinical Oncology, Colloids and Surfaces A Physicochemical and Engineering Aspects and Phytotherapy 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.