Kai Ye

83.4k citations
190 papers · 10.8k indexed · 5 hit papers · h-index 45
    • Cancer Genomics and Diagnostics 12
  • Geophysics top 1%
    • Geological and Geochemical Analysis 19
    • earthquake and tectonic studies 18
    • High-pressure geophysics and materials 17
  • Physiology top 0.5%
    • Genomics and Phylogenetic Studies 28
    • Receptor Mechanisms and Signaling 9
  • Genetics top 0.5%
    • Genomics and Rare Diseases 12
    • Chromosomal and Genetic Variations 15

Kai Ye

178 papers receiving 10.6k citations

Hit Papers

NextDeno...154200920262014202010002.0k3.0k

Peers

Kai Ye
Comparison fields: 5 of 185
  • Cancer Research 2.4k
  • Geophysics 1.4k
  • Physiology 380
  • Molecular Biology 5.1k
  • Genetics 1.9k
Replace Wei Liang with:
Wei Liang China
Deon J. Venter Australia
Qin Yan China
Michael Bittner United States
Rogier Versteeg Netherlands
Mao Mao China
Xiao Hui Zhang China
Tao Cheng China
Kenshi Hayashi Japan
Fuyuki Ishikawa Japan
Kai Ye relative to Wei Liang China Wei Liang's profile →
Citations per field
00.5×
Wei Liang · 1×
Citations per year

Countries citing papers authored by Kai Ye

Since Specialization
Citations

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

Fields of papers citing papers by Kai Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20254
4 20252
5 20253
6 202419
7 20242
8 20243
9 202431
10 20236
11 20237
12 20231
13 20224
14 202027
15 20201
16 202063
17 20196
18 20182
19 201687
20
Collapsed Himalayan-Tibetan orogen and the rising Tibetan Plateau
200845

About Kai Ye

Kai Ye is a scholar working on Geophysics, Cancer Research and Physiology, having authored 190 papers that have together received 10.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (28 papers), Geological and Geochemical Analysis (19 papers), earthquake and tectonic studies (18 papers), High-pressure geophysics and materials (17 papers), Chromosomal and Genetic Variations (15 papers), Genomics and Rare Diseases (12 papers), Cancer Genomics and Diagnostics (12 papers) and Receptor Mechanisms and Signaling (9 papers). The work is most often cited by research in Cancer Research (2.4k citations), Geophysics (1.4k citations) and Physiology (380 citations). Kai Ye has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Zemin Ning, Quan Long, Marcel H. Schulz, Rolf Apweiler, Li Ding, Michael C. Wendl, Beifang Niu, Michael D. McLellan, Mingchao Xie and Qunyuan Zhang. Their work appears in journals such as Bioinformatics, Genomics Proteomics & Bioinformatics, BMC Genomics, Genome biology and Acta Pharmacologica Sinica.

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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