Ke Zen

32.5k citations
254 papers · 19.3k indexed · 3 hit papers · h-index 78
  • Cancer Research top 0.02%
    • MicroRNA in disease regulation 119
    • Cancer-related molecular mechanisms research 55
    • Circular RNAs in diseases 49
    • Extracellular vesicles in disease 42
    • RNA modifications and cancer 34
    • RNA Interference and Gene Delivery 29
    • RNA Research and Splicing 19
  • Immunology top 0.5%
  • Nephrology top 0.5%
    • Cell Adhesion Molecules Research 19

Ke Zen

252 papers receiving 19.2k citations

Hit Papers

Molecular Mechanisms That Influence the Macrophage M1–M...1.6k201020262015202050010001.5k

Peers

Ke Zen
Comparison fields: 5 of 157
  • Cancer Research 10.1k
  • Molecular Biology 12.6k
  • Immunology 3.5k
  • Nephrology 874
  • Immunology and Allergy 546
Replace Guo‐Ping Shi with:
Guo‐Ping Shi United States
Thomas Reinheckel Germany
Manolis Pasparakis Germany
Søren K. Moestrup Denmark
Liliana Schaefer Germany
Victor W.M. van Hinsbergh Netherlands
Geert Loo Belgium
Masabumi Shibuya Japan
Karen O’Rourke United States
Yasufumi Kaneda Japan
Ke Zen relative to Guo‐Ping Shi United States Guo‐Ping Shi's profile →
Citations per field
00.5×1.5×2.1×
Guo‐Ping Shi · 1×
Citations per year

Countries citing papers authored by Ke Zen

Since Specialization
Citations

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

Fields of papers citing papers by Ke Zen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20254
3 20238
4 201832
5 201761
6 201586
7 2015240
8 201573
9 2015138
10 201414
11 2013123
12 201374
13 201321
14 20122
15 2010373
16 200830
17 200767
18 2005138
19 200448
20 200283

About Ke Zen

Ke Zen is a scholar working on Cancer Research, Immunology and Allergy and Nephrology, having authored 254 papers that have together received 19.3k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (119 papers), Cancer-related molecular mechanisms research (55 papers), Circular RNAs in diseases (49 papers), Extracellular vesicles in disease (42 papers), RNA modifications and cancer (34 papers), RNA Interference and Gene Delivery (29 papers), Cell Adhesion Molecules Research (19 papers) and RNA Research and Splicing (19 papers). The work is most often cited by research in Cancer Research (10.1k citations), Molecular Biology (12.6k citations) and Immunology (3.5k citations). Ke Zen has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Chen‐Yu Zhang, Hongwei Liang, Nan Wang, Xi Chen, Xi Chen, Limin Li, Yuan Liu, Junfeng Zhang, Cheng Wang and Zhibin Hu. Their work appears in journals such as PLoS ONE, Scientific Reports, Journal of Biological Chemistry, The Journal of Immunology and Protein & Cell.

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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