Miao Ding

672 citations
33 papers · 509 indexed · h-index 14

Impact in

Papers in

    • Genetic Associations and Epidemiology 8
    • Genetics and Neurodevelopmental Disorders 8
    • Virus-based gene therapy research 7
    • RNA Interference and Gene Delivery 5
    • Viral Infectious Diseases and Gene Expression in Insects 4

Miao Ding

33 papers receiving 506 citations

Peers

Miao Ding
Comparison fields: 5 of 88
  • Biological Psychiatry 48
  • Aging 12
  • Genetics 180
  • Biophysics 36
  • Biotechnology 51
Replace Sean Chen with:
Sean Chen United States
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E. Richard Stanley United States
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Fangfang Zhu China
Nicklas Heine Staunstrup Denmark
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Miao Ding relative to Sean Chen United States Sean Chen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Miao Ding

Since Specialization
Citations

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

Fields of papers citing papers by Miao Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201969
2 201540
3 201130
4 200926
5 201726
6 201726
7 201825
8 201125
9 201422
10 201921
11 202120
12 201219
13 200815
14 201814
15 201813
16 201812
17 201911
18 201911
19 201810
20 201910

About Miao Ding

Miao Ding is a scholar working on Genetics, Molecular Biology, Cognitive Neuroscience, Rheumatology and Biophysics, having authored 33 papers that have together received 509 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (8 papers), Genetics and Neurodevelopmental Disorders (8 papers), Virus-based gene therapy research (7 papers), RNA Interference and Gene Delivery (5 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Autism Spectrum Disorder Research (3 papers) and Attention Deficit Hyperactivity Disorder (3 papers). The work is most often cited by research in Biological Psychiatry (48 citations), Aging (12 citations), Genetics (180 citations), Biophysics (36 citations) and Biotechnology (51 citations). Miao Ding has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yan Zhao, Bolun Cheng, Shiqiang Cheng, Mei Ma, Yanan Du, Yan Wen, Li Liu, Xiao Liang, Ping Li and Xiong Guo. Their work appears in journals such as Autism Research, Psychiatry Research, Calcified Tissue International, Briefings in Bioinformatics and Progress in Neuro-Psychopharmacology and Biological Psychiatry.

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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