Qing Ke

1.8k citations
68 papers · 1.3k · h-index 22

Impact in

Papers in

    • Ion channel regulation and function 5
    • Muscle Physiology and Disorders 4
    • RNA modifications and cancer 4
    • Ubiquitin and proteasome pathways 4
    • Glycosylation and Glycoproteins Research 4
    • Cancer-related Molecular Pathways 4

Qing Ke

68 papers receiving 1.2k citations

Peers

Qing Ke
Comparison fields: 5 of 126
  • Cognitive Neuroscience 201
  • Pathology and Forensic Medicine 149
  • Oncology 198
  • Molecular Biology 521
  • Cancer Research 95
Replace Stephen Leong with:
Stephen Leong United States
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Hartmut Halfter Germany
Lina A. Shehadeh United States
Vincent C. Chen United States
Bixia Liu China
Dan Han China
Shengqing Lv China
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Qing Ke relative to Stephen Leong United States Stephen Leong's profile →
Citations per field
00.5×2×3×3.5×
Stephen Leong · 1×
Citations per year

Countries citing papers authored by Qing Ke

Since Specialization
Citations

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

Fields of papers citing papers by Qing Ke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018121
2 201993
3 201677
4 201459
5 200959
6 200852
7 202052
8 201442
9 201441
10 200938
11 202134
12 201232
13 201430
14 201728
15 201728
16 201127
17 202127
18 200925
19 201924
20 202123

About Qing Ke

Qing Ke is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Experimental and Cognitive Psychology and Cognitive Neuroscience, having authored 68 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ion channel regulation and function (5 papers), Functional Brain Connectivity Studies (5 papers), Lymphoma Diagnosis and Treatment (5 papers), Muscle Physiology and Disorders (4 papers), RNA modifications and cancer (4 papers), Cancer-related Molecular Pathways (4 papers), Ubiquitin and proteasome pathways (4 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Cognitive Neuroscience (201 citations), Pathology and Forensic Medicine (149 citations), Oncology (198 citations), Molecular Biology (521 citations) and Cancer Research (95 citations). Qing Ke has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Baoping Guo, Xiaohong Tan, Hong Cen, Xiaoxia Dong, Zhiguo Luo, Li Shen, Aiguo Shen, Chun Cheng, Wenjian Liu and Xiaohong Ma. Their work appears in journals such as PLoS ONE, Journal of Cancer, Medical Oncology, World Journal of Pediatrics and Neuromuscular Disorders.

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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