Mao Chen

794 citations
30 papers · 551 · h-index 17

Impact in

    • Lipid metabolism and biosynthesis
    • Insect Resistance and Genetics
    • CRISPR and Genetic Engineering
    • Extracellular vesicles in disease

Papers in

    • Insect Resistance and Genetics 5
    • CRISPR and Genetic Engineering 3
    • Metabolomics and Mass Spectrometry Studies 2
    • Peroxisome Proliferator-Activated Receptors 2

Mao Chen

28 papers receiving 546 citations

Peers

Mao Chen
Comparison fields: 5 of 82
  • Biochemistry 37
  • Molecular Biology 276
  • Cancer Research 50
  • Insect Science 45
  • Aging 6
Replace Christina Ebert with:
Christina Ebert United States
Seija R. Räisänen Finland
A. V. Ulasov Russia
Shanshan Jiang China
Henry L. Meier United States
Fernando T. Ogata United States
Thuỳ Anh Bùi United Kingdom
Ángel Guerra-Moreno United States
Suzanne J. Romano United States
Yasumitsu Takagi Japan
Mao Chen relative to Christina Ebert United States Christina Ebert's profile →
Citations per field
00.5×2.8×
Christina Ebert · 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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201642
2 200639
3 200039
4 201733
5 202032
6 201428
7 201628
8 201828
9 201224
10 202123
11 201921
12 202421
13 202121
14 202020
15 201319
16 201819
17 201818
18 201816
19 202113
20 202111

About Mao Chen

Mao Chen is a scholar working on Molecular Biology, Cancer Research, Biochemistry, Materials Chemistry and Surgery, having authored 30 papers that have together received 551 indexed citations. Recurring topics across this work include Insect Resistance and Genetics (5 papers), Lipid metabolism and biosynthesis (4 papers), Genetically Modified Organisms Research (3 papers), Mass Spectrometry Techniques and Applications (3 papers), CRISPR and Genetic Engineering (3 papers), Porphyrin and Phthalocyanine Chemistry (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Biochemistry (37 citations), Molecular Biology (276 citations), Cancer Research (50 citations), Insect Science (45 citations) and Aging (6 citations). Mao Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Anthony M. Shelton, Fatih M. Uckun, He Huang, Qiang Fu, Jichao Deng, Tingting Sui, Wei‐jie Guan, Zhanjun Li, Nanshan Zhong and Gōngyín Yè. Their work appears in journals such as Insect Science, Organic Letters, Bioactive Materials, The FASEB Journal 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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