Kun Han
Impact in
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- Pain Mechanisms and Treatments
- Alzheimer's disease research and treatments
Papers in
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- Cell death mechanisms and regulation 2
- Heme Oxygenase-1 and Carbon Monoxide 2
- Protein Kinase Regulation and GTPase Signaling 2
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- interferon and immune responses 3
- Immune Response and Inflammation 3
- Aquaculture disease management and microbiota 3
- Reproductive System and Pregnancy 2
- Co-authors
- Zhisong Li (1 shared paper)Mei Yu (6 shared papers)Ying Jing (1 shared paper)Ji‐Tian Xu (1 shared paper)Wei Zhang (1 shared paper)Liying Bai (1 shared paper)Shuhong Zhao (3 shared papers)Ning Jia (1 shared paper)
- Journals
- Reproduction (2 papers)Cancer Letters (1 paper)Briefings in Bioinformatics (1 paper)Fish & Shellfish Immunology (1 paper)Molecular and Cellular Biochemistry (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Kun Han
24 papers receiving 329 citations
Peers
Comparison fields: 5 of 77
- Biological Psychiatry 16
- Physiology 70
- Cancer Research 38
- Immunology 53
- Neurology 20
Countries citing papers authored by Kun Han
This map shows the geographic impact of Kun 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 Kun Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Han more than expected).
Fields of papers citing papers by Kun Han
This network shows the impact of papers produced by Kun 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 Kun Han. The network helps show where Kun Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 62 | |
| 2 | 2002 | 47 | |
| 3 | 2013 | 41 | |
| 4 | 2024 | 37 | |
| 5 | 2017 | 24 | |
| 6 | 2017 | 19 | |
| 7 | 2019 | 16 | |
| 8 | 2018 | 13 | |
| 9 | 2015 | 10 | |
| 10 | 2019 | 9 | |
| 11 | Prognostic value of SOX2 in digestive tumors: a meta-analysis. | 2014 | 8 |
| 12 | 2021 | 7 | |
| 13 | 2020 | 7 | |
| 14 | 2019 | 6 | |
| 15 | 2019 | 6 | |
| 16 | 2020 | 5 | |
| 17 | 2021 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2025 | 2 | |
| 20 | 1999 | 2 |
About Kun Han
Kun Han is a scholar working on Molecular Biology, Immunology, Neurology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 24 papers that have together received 335 indexed citations. Recurring topics across this work include interferon and immune responses (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Immune Response and Inflammation (3 papers), Aquaculture disease management and microbiota (3 papers), Cell death mechanisms and regulation (2 papers), Reproductive System and Pregnancy (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Biological Psychiatry (16 citations), Physiology (70 citations), Cancer Research (38 citations), Immunology (53 citations) and Neurology (20 citations). Kun Han has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Zhisong Li, Mei Yu, Ying Jing, Ji‐Tian Xu, Wei Zhang, Liying Bai, Shuhong Zhao, Ning Jia, Sha Sha and Xiumei Zhang. Their work appears in journals such as Reproduction, Cancer Letters, Briefings in Bioinformatics, Fish & Shellfish Immunology and Molecular and Cellular Biochemistry.
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.