Jin-Jun Meng

424 citations
10 papers · 366 · h-index 8

Impact in

    • Skin and Cellular Biology Research
    • Cellular Mechanics and Interactions
    • Hippo pathway signaling and YAP/TAZ
  • Neurology top 10%
    • Neurofibromatosis and Schwannoma Cases

Papers in

    • Skin and Cellular Biology Research 4
    • Biotin and Related Studies 2
    • Cellular Mechanics and Interactions 1
    • Neurofibromatosis and Schwannoma Cases 3

Jin-Jun Meng

10 papers receiving 356 citations

Peers

Jin-Jun Meng
Comparison fields: 5 of 44
  • Cell Biology 192
  • Neurology 88
  • Immunology and Allergy 12
  • Molecular Biology 58
  • Biophysics 6
Replace Kana Aoki with:
Kana Aoki Japan
Gabriella Milana Italy
Takumi Harada Japan
Xiangyuan He United States
Marihan Hegazy United States
Sabrina Kuespert Germany
Jihong Gong China
Adam R. Fenton United States
Jesus M. Cardenas United States
Keitaro Shibata Japan
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Citations per field
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Citations per year

Countries citing papers authored by Jin-Jun Meng

Since Specialization
Citations

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

Fields of papers citing papers by Jin-Jun Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin-Jun Meng. 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 Jin-Jun Meng. The network helps show where Jin-Jun Meng may publish in the future.

Co-authors

The 13 scholars most cited alongside Jin-Jun Meng, 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 Jin-Jun Meng Line = papers co-authored together Jin-Jun Meng links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1997131
2 200263
3 200047
4 199637
5 200727
6 199425
7 200520
8 200412
9 19983
10 20031

About Jin-Jun Meng

Jin-Jun Meng is a scholar working on Cell Biology, Neurology, Biophysics, Molecular Biology and Nuclear Energy and Engineering, having authored 10 papers that have together received 366 indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (4 papers), Neurofibromatosis and Schwannoma Cases (3 papers), Biotin and Related Studies (2 papers), Protein Structure and Dynamics (1 paper), Cellular Mechanics and Interactions (1 paper), Fungal and yeast genetics research (1 paper) and Advanced Fluorescence Microscopy Techniques (1 paper). The work is most often cited by research in Cell Biology (192 citations), Neurology (88 citations), Immunology and Allergy (12 citations), Molecular Biology (58 citations) and Biophysics (6 citations). Jin-Jun Meng has collaborated with scholars based in United States. Frequent co-authors include Wallace Ip, Elayne A. Bornslaeger, Kathleen Janee Green, Peter M. Steinert, SA Khan, Nancy Ratner, Mia MacCollin, Robert F. Hennigan, Joanna Louise Groden and Hao Sun. Their work appears in journals such as Journal of Biological Chemistry, Langmuir, Mutation research. Fundamental and molecular mechanisms of mutagenesis, Biological Bulletin and Molecular and Cellular Biology.

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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