Kunkun Han

778 citations
24 papers · 630 · h-index 18

Impact in

  • Hematology top 10%
    • Multiple Myeloma Research and Treatments
    • Peptidase Inhibition and Analysis
    • Cancer-related Molecular Pathways

Papers in

    • PI3K/AKT/mTOR signaling in cancer 8
    • Ubiquitin and proteasome pathways 7
    • Protein Degradation and Inhibitors 3
    • Genomics and Chromatin Dynamics 3
    • Histone Deacetylase Inhibitors Research 3
    • Cancer-related gene regulation 3
    • Cytokine Signaling Pathways and Interactions 3

Kunkun Han

21 papers receiving 621 citations

Peers

Kunkun Han
Comparison fields: 5 of 68
  • Hematology 86
  • Oncology 205
  • Molecular Biology 458
  • Cancer Research 90
  • Pathology and Forensic Medicine 80
Replace Shota Moriya with:
Shota Moriya Japan
Karin von Schwarzenberg Germany
Xavier Billot Canada
Elin Lindhagen Sweden
Ravi Anchoori United States
Silke Radetzki Germany
Thierry Louat Belgium
Chloe Stengel United Kingdom
Yuxin Qin China
Xiaoying Lan China
Kunkun Han relative to Shota Moriya Japan Shota Moriya's profile →
Citations per field
00.5×2.7×
Shota Moriya · 1×
Citations per year

Countries citing papers authored by Kunkun Han

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Kunkun Han Line = papers co-authored together Kunkun Han links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201461
2 201959
3 201852
4 201651
5 201447
6 201344
7 201944
8 201343
9 201428
10 201627
11 201226
12 201925
13 201721
14 201519
15 201419
16 201418
17 201417
18 201617
19 20225
20
Inhibition of OTUB2 suppresses colorectal cancer cell growth by regulating β-Catenin signaling.
20234

About Kunkun Han

Kunkun Han is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Hematology and Cancer Research, having authored 24 papers that have together received 630 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (8 papers), Ubiquitin and proteasome pathways (7 papers), Protein Degradation and Inhibitors (3 papers), Genomics and Chromatin Dynamics (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Cancer Mechanisms and Therapy (3 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Hematology (86 citations), Oncology (205 citations), Molecular Biology (458 citations), Cancer Research (90 citations) and Pathology and Forensic Medicine (80 citations). Kunkun Han has collaborated with scholars based in China, Italy and Canada. Frequent co-authors include Biyin Cao, Xinliang Mao, Zubin Zhang, Xin Xu, Yili Yang, Yuanying Zeng, Xin Xu, Xiaowen Tang, Xiaodan Hou and Jingyu Zhu. Their work appears in journals such as Oncotarget, Scientific Reports, Journal of Biological Chemistry, Journal of Investigative Medicine and The International Journal of Biochemistry & Cell Biology.

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.

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