Ke Chen

4.0k citations
106 papers · 3.0k · h-index 27

Impact in

    • Plant Stress Responses and Tolerance
    • Plant Molecular Biology Research
    • Rice Cultivation and Yield Improvement

Papers in

Ke Chen

99 papers receiving 2.9k citations

Peers

Ke Chen
Comparison fields: 5 of 155
  • Plant Science 1.1k
  • Molecular Medicine 143
  • Condensed Matter Physics 239
  • Genetics 477
  • Geophysics 214
Replace Hiroshi Watanabe with:
Hiroshi Watanabe Japan
Lun Li China
Hajime Mori Japan
Heng Zhang China
Ken‐ichi Wakabayashi Japan
Baolin Zhang China
Steven P. Smith Canada
Kazuyoshi Murata Japan
Vladislav S. Markin United States
Thomas C. Irving United States
Ke Chen relative to Hiroshi Watanabe Japan Hiroshi Watanabe's profile →
Citations per field
00.5×5×12.2×
Hiroshi Watanabe · 1×
Citations per year

Countries citing papers authored by Ke Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ke Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015317
2 2015267
3 2018265
4 2008188
5 2015164
6 2017120
7 2013104
8 201394
9 201968
10 202068
11 202168
12 201964
13 201957
14 201955
15 202155
16 202246
17 201645
18 202240
19 202038
20 202037

About Ke Chen

Ke Chen is a scholar working on Condensed Matter Physics, Plant Science, Statistical and Nonlinear Physics, Molecular Biology and Genetics, having authored 106 papers that have together received 3.0k indexed citations. Recurring topics across this work include Micro and Nano Robotics (13 papers), Advanced Thermodynamics and Statistical Mechanics (10 papers), Photosynthetic Processes and Mechanisms (8 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers), GABA and Rice Research (6 papers), Pickering emulsions and particle stabilization (5 papers), Field-Flow Fractionation Techniques (4 papers) and Plant Stress Responses and Tolerance (4 papers). The work is most often cited by research in Plant Science (1.1k citations), Molecular Medicine (143 citations), Condensed Matter Physics (239 citations), Genetics (477 citations) and Geophysics (214 citations). Ke Chen has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Tao Guo, Qingchen Wang, Jun‐Xiang Shan, Wang‐Wei Ye, Hong‐Xuan Lin, Nai‐Qian Dong, Wei Lin, Jiping Gao, Jinmin Fu and Mingcheng Yang. Their work appears in journals such as Physical Review Letters, Soft Matter, Proceedings of the National Academy of Sciences, Advanced Materials and Frontiers in Plant Science.

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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