Kunkun Han
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
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- Peptidase Inhibition and Analysis
- Cancer-related Molecular Pathways
Papers in
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- PI3K/AKT/mTOR signaling in cancer 8
- Ubiquitin and proteasome pathways 7
- Cancer-related gene regulation 3
- Histone Deacetylase Inhibitors Research 3
- Genomics and Chromatin Dynamics 3
- Protein Degradation and Inhibitors 2
- Oncology 7
- Cytokine Signaling Pathways and Interactions 3
- Co-authors
- Biyin Cao (15 shared papers)Xinliang Mao (15 shared papers)Zubin Zhang (14 shared papers)Xin Xu (7 shared papers)Yili Yang (6 shared papers)Yuanying Zeng (6 shared papers)Xiaowen Tang (5 shared papers)Long Cui (2 shared papers)
In The Last Decade
Kunkun Han
21 papers receiving 624 citations
Peers
Comparison fields: 5 of 68
- Hematology 79
- Oncology 170
- Molecular Biology 408
- Cancer Research 73
- Pathology and Forensic Medicine 66
Countries citing papers authored by Kunkun Han
This map shows the geographic impact of Kunkun 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 Kunkun Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunkun Han more than expected).
Fields of papers citing papers by Kunkun Han
This network shows the impact of papers produced by Kunkun 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 Kunkun Han. The network helps show where Kunkun Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Kunkun 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 | 61 | |
| 2 | 2019 | 59 | |
| 3 | 2018 | 52 | |
| 4 | 2016 | 50 | |
| 5 | 2014 | 47 | |
| 6 | 2019 | 44 | |
| 7 | 2013 | 44 | |
| 8 | 2013 | 44 | |
| 9 | 2014 | 28 | |
| 10 | 2016 | 27 | |
| 11 | 2012 | 26 | |
| 12 | 2019 | 25 | |
| 13 | 2017 | 21 | |
| 14 | 2015 | 19 | |
| 15 | 2014 | 19 | |
| 16 | 2014 | 19 | |
| 17 | 2014 | 17 | |
| 18 | 2016 | 17 | |
| 19 | 2022 | 6 | |
| 20 | 2025 | 4 |
About Kunkun Han
Kunkun Han is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Cancer Research and Pulmonary and Respiratory Medicine, having authored 24 papers that have together received 633 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (8 papers), Ubiquitin and proteasome pathways (7 papers), Cancer-related gene regulation (3 papers), Cancer Mechanisms and Therapy (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Genomics and Chromatin Dynamics (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Hematology (79 citations), Oncology (170 citations), Molecular Biology (408 citations), Cancer Research (73 citations) and Pathology and Forensic Medicine (66 citations). Kunkun Han has collaborated with scholars based in China, Italy and Singapore. Frequent co-authors include Biyin Cao, Xinliang Mao, Zubin Zhang, Xin Xu, Yili Yang, Yuanying Zeng, Xiaowen Tang, Xin Xu, Long Cui and Ximao Cui. Their work appears in journals such as Oncotarget, Scientific Reports, Journal of Biological Chemistry, Journal of Investigative Medicine and Journal of Hematology & Oncology.
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.