Zun‐Ping Ke

1.5k citations
31 papers · 1.2k indexed · h-index 17
Topics
Cancer-related molecular mechanisms research (10 papers)RNA modifications and cancer (5 papers)Traditional Chinese Medicine Analysis (4 papers)
Partner nations
ChinaUnited States

In The Last Decade

Zun‐Ping Ke

27 papers receiving 1.2k citations

Peers

Zun‐Ping Ke
Comparison fields: 5 of 88
  • Molecular Biology 842
  • Cancer Research 410
  • Epidemiology 109
  • Immunology 108
  • Pharmacology 100
Replace Ai-Mei Gao with:
Ai-Mei Gao China
Xiaopei Cui China
Sara Verdura Spain
Arumugam Nagalingam United States
Shakir M. Saud United States
Noritaka Kawasaki Japan
Sin‐Aye Park South Korea
Itishree Kaushik United States
Carlos Sànchez‐Martìn Italy
Zun‐Ping Ke relative to Ai-Mei Gao China Ai-Mei Gao's profile →
Citations per field
00.5×3.3×
Ai-Mei Gao · 1×
Citations per year

Countries citing papers authored by Zun‐Ping Ke

Since Specialization
Citations

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

Fields of papers citing papers by Zun‐Ping Ke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zun‐Ping Ke

This figure shows the co-authorship network connecting the top 25 collaborators of Zun‐Ping Ke. A scholar is included among the top collaborators of Zun‐Ping Ke based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zun‐Ping Ke. Zun‐Ping Ke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 0
5 5
6 10
7 92
8 58
9 17
10 25
11 76
12 10
13 25
14 57
15 60
16 7
17 44
18 155
19 164
20
[The role of PEP-1-SOD1 fusion protein on ischemia-reperfusion injury in isolated perfused rat hearts.].
2

About Zun‐Ping Ke

Zun‐Ping Ke is a scholar working on Cancer Research, Complementary and alternative medicine and Pharmacology, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), RNA modifications and cancer (5 papers) and Traditional Chinese Medicine Analysis (4 papers). The work is most often cited by research in Cancer Research (410 citations), Molecular Biology (842 citations) and Geriatrics and Gerontology (39 citations). Zun‐Ping Ke has collaborated with scholars based in China and United States. Frequent co-authors include Ai-Mei Gao, Hui Chen, Yan Shi, Shi Fang, Guangchun Sun, Xiaojie Lu, Jinlian Chen, Li-Juan Ji, Jianye Yang and Jianing Wang. Their work appears in journals such as Journal of Cellular Physiology, Carcinogenesis and Journal of 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.

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