Mao Chen

4.5k citations
100 papers · 3.6k · h-index 32

Impact in

Papers in

    • CRISPR and Genetic Engineering 29
    • Insect Resistance and Genetics 16
    • RNA and protein synthesis mechanisms 11
    • Retinal Development and Disorders 8
    • Insect and Pesticide Research 10

Mao Chen

96 papers receiving 3.5k citations

Peers

Mao Chen
Comparison fields: 5 of 135
  • Insect Science 639
  • Geriatrics and Gerontology 156
  • Molecular Biology 2.4k
  • Business and International Management 66
  • Aging 59
Replace Greg Brown with:
Greg Brown Canada
Noritaka Adachi Japan
Qihong Huang China
Koji Nagata Japan
Jianming Chen China
Adam C. Wilkinson United Kingdom
Jun Zhou China
Jianfeng Li China
Fei Li China
Jae‐Sung Woo South Korea
Mao Chen relative to Greg Brown Canada Greg Brown's profile →
Citations per field
00.5×10×15.6×
Greg Brown · 1×
Citations per year

Countries citing papers authored by Mao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Mao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998438
2 2010234
3 2009176
4
Structure-based design of specific inhibitors of Janus kinase 3 as apoptosis-inducing antileukemic agents.
1999148
5 1997135
6 2004125
7 2018120
8 2010115
9 2016109
10 2013105
11
Expression of dominant-negative Ikaros isoforms in T-cell acute lymphoblastic leukemia.
199991
12 201687
13 200185
14 200871
15 200869
16 201067
17 200158
18 201657
19 200155
20 202052

About Mao Chen

Mao Chen is a scholar working on Molecular Biology, Insect Science, Genetics, Mechanical Engineering and Plant Science, having authored 100 papers that have together received 3.6k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (29 papers), Insect Resistance and Genetics (16 papers), RNA and protein synthesis mechanisms (11 papers), Insect and Pesticide Research (10 papers), Metallurgical Processes and Thermodynamics (9 papers), Genetically Modified Organisms Research (8 papers), Retinal Development and Disorders (8 papers) and Metal Extraction and Bioleaching (7 papers). The work is most often cited by research in Insect Science (639 citations), Geriatrics and Gerontology (156 citations), Molecular Biology (2.4k citations), Business and International Management (66 citations) and Aging (59 citations). Mao Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Fatih M. Uckun, Anthony M. Shelton, L.S. Beese, James R. Kiefer, Jeffrey C. Braman, Gōngyín Yè, Zhanjun Li, Liangxue Lai, Yuning Song and Zhiquan Liu. Their work appears in journals such as Journal of Biological Chemistry, Molecular Therapy — Nucleic Acids, Biological Control, Cell Discovery and PLoS ONE.

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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