Kun Han
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Circular RNAs in diseases 5
- RNA modifications and cancer 3
- Wnt/β-catenin signaling in development and cancer 2
-
- Cancer-related molecular mechanisms research 8
- MicroRNA in disease regulation 6
- Cancer, Lipids, and Metabolism 2
- Co-authors
- Daliu Min (16 shared papers)Yan Zhou (8 shared papers)Shuchen Lin (9 shared papers)Zhihua Gan (9 shared papers)Haiyan Hu (7 shared papers)Su Yang (5 shared papers)Yaling Wang (6 shared papers)Yang Yao (8 shared papers)
- Journals
- Frontiers in Immunology (2 papers)Acta Pharmacologica Sinica (2 papers)OncoTargets and Therapy (2 papers)Frontiers in Genetics (2 papers)Oncotarget (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Kun Han
24 papers receiving 482 citations
Peers
Comparison fields: 5 of 78
- Cancer Research 189
- Applied Microbiology and Biotechnology 10
- Molecular Biology 311
- Biochemistry 26
- Oncology 107
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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 61 | |
| 2 | 2017 | 52 | |
| 3 | 2016 | 49 | |
| 4 | 2018 | 48 | |
| 5 | 2018 | 41 | |
| 6 | 2020 | 33 | |
| 7 | 2015 | 32 | |
| 8 | 2017 | 24 | |
| 9 | 2017 | 21 | |
| 10 | 2016 | 19 | |
| 11 | 2016 | 18 | |
| 12 | 2020 | 18 | |
| 13 | 2019 | 17 | |
| 14 | 2015 | 9 | |
| 15 | 2013 | 8 | |
| 16 | 2017 | 7 | |
| 17 | 2015 | 6 | |
| 18 | 2020 | 5 | |
| 19 | 2012 | 4 | |
| 20 | 2023 | 4 |
About Kun Han
Kun Han is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Cell Biology, having authored 32 papers that have together received 483 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (5 papers), Prostate Cancer Treatment and Research (5 papers), Sarcoma Diagnosis and Treatment (4 papers), RNA modifications and cancer (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (189 citations), Applied Microbiology and Biotechnology (10 citations), Molecular Biology (311 citations), Biochemistry (26 citations) and Oncology (107 citations). Kun Han has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Daliu Min, Yan Zhou, Shuchen Lin, Zhihua Gan, Haiyan Hu, Su Yang, Yaling Wang, Yang Yao, Yongning Sun and Jianjun Zhang. Their work appears in journals such as Frontiers in Immunology, Acta Pharmacologica Sinica, OncoTargets and Therapy, Frontiers in Genetics and Oncotarget.
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.