Kun Ke

975 citations
39 papers · 586 · h-index 16

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Pancreatic and Hepatic Oncology Research

Papers in

    • Pancreatic and Hepatic Oncology Research 4
    • Cancer Cells and Metastasis 3
    • Cancer Immunotherapy and Biomarkers 3

Kun Ke

37 papers receiving 578 citations

Peers

Kun Ke
Comparison fields: 5 of 87
  • Cancer Research 140
  • Oncology 161
  • Pulmonary and Respiratory Medicine 176
  • Hepatology 42
  • Molecular Biology 251
Replace Xiaochun Zhang with:
Xiaochun Zhang China
Xifeng Dong China
Yamin Zhang China
Chunhui Cui China
Chun-Ying Qu China
Jinhua Song China
Guoyong Han China
Jiasi Zhang China
Kun Ke relative to Xiaochun Zhang China Xiaochun Zhang's profile →
Citations per field
00.5×6.3×
Xiaochun Zhang · 1×
Citations per year

Countries citing papers authored by Kun Ke

Since Specialization
Citations

This map shows the geographic impact of Kun Ke'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 Ke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Ke more than expected).

Fields of papers citing papers by Kun Ke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun Ke. 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 Ke. The network helps show where Kun Ke may publish in the future.

Co-authors

The 25 scholars most cited alongside Kun Ke, 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 Kun Ke Line = papers co-authored together Kun Ke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201866
2 201446
3 201938
4 201936
5 202236
6 201932
7 201931
8 202224
9 202324
10 202024
11 202121
12 201819
13 201815
14 201915
15 202015
16 201315
17 202414
18 201714
19 202014
20 202311

About Kun Ke

Kun Ke is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Cancer Research and Pulmonary and Respiratory Medicine, having authored 39 papers that have together received 586 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Cancer Mechanisms and Therapy (6 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers), MicroRNA in disease regulation (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Cancer Cells and Metastasis (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Nanoplatforms for cancer theranostics (2 papers). The work is most often cited by research in Cancer Research (140 citations), Oncology (161 citations), Pulmonary and Respiratory Medicine (176 citations), Hepatology (42 citations) and Molecular Biology (251 citations). Kun Ke has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Xiaolong Liu, Jingfeng Liu, Naishun Liao, Yingchao Wang, Bixing Zhao, W. Chen, Zhixiong Cai, Yiping Mou, Xiaoyuan Zheng and Yang Weizhu. Their work appears in journals such as Frontiers in Immunology, Brachytherapy, Cancer Management and Research, Frontiers in Oncology and Annals of Vascular Surgery.

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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