Deng Chen

1.2k citations
50 papers · 812 · h-index 16

Impact in

Papers in

    • Fungal and yeast genetics research 13
    • Ubiquitin and proteasome pathways 8
    • Cancer-related gene regulation 4
    • Plant-Microbe Interactions and Immunity 8

Deng Chen

48 papers receiving 798 citations

Peers

Deng Chen
Comparison fields: 5 of 84
  • Cell Biology 128
  • Plant Science 284
  • Molecular Biology 416
  • Psychiatry and Mental health 53
  • Pharmacology 43
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Jacob Romano Israel
Bernhard Dichtl Switzerland
Cláudio A. Masuda Brazil
Ninghui Zhao China
Huaixing Cang China
Balaji Santhanam United States
Kyuyong Han South Korea
Asmaa Mohamed Egypt
Zhijian Li China
Deng Chen relative to Jacob Romano Israel Jacob Romano's profile →
Citations per field
00.5×8.6×
Jacob Romano · 1×
Citations per year

Countries citing papers authored by Deng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Deng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014138
2 200870
3 201846
4 201646
5 201745
6 202437
7 201730
8 201929
9 201727
10 201925
11 201623
12 201622
13 202120
14 202219
15 201717
16 201815
17 202115
18 201614
19 201314
20 201613

About Deng Chen

Deng Chen is a scholar working on Molecular Biology, Plant Science, Oncology, Psychiatry and Mental health and Cell Biology, having authored 50 papers that have together received 812 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (13 papers), Ubiquitin and proteasome pathways (8 papers), Plant-Microbe Interactions and Immunity (8 papers), Epilepsy research and treatment (6 papers), Conducting polymers and applications (5 papers), Cancer-related Molecular Pathways (4 papers), Cancer-related gene regulation (4 papers) and Perovskite Materials and Applications (4 papers). The work is most often cited by research in Cell Biology (128 citations), Plant Science (284 citations), Molecular Biology (416 citations), Psychiatry and Mental health (53 citations) and Pharmacology (43 citations). Deng Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jun Yang, Xiaolin Chen, You‐Liang Peng, Wei Shi, Xiaowen Xu, Tao Shi, Nicholas J. Talbot, Jin‐Rong Xu, Elizabeth R. Rayburn and Li Mao. Their work appears in journals such as Molecular Plant Pathology, Cellular Signalling, Phytopathology Research, Solar RRL and Seizure.

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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