Mei Ding

1.7k citations
87 papers · 967 · h-index 16

Impact in

Papers in

    • Receptor Mechanisms and Signaling 7
    • RNA modifications and cancer 6
    • RNA Research and Splicing 5
    • Genomics and Chromatin Dynamics 5
    • Molecular Biology Techniques and Applications 5
    • Forensic and Genetic Research 6
    • Genetic Associations and Epidemiology 6

Mei Ding

80 papers receiving 957 citations

Peers

Mei Ding
Comparison fields: 5 of 121
  • Biological Psychiatry 33
  • Molecular Biology 535
  • Developmental Neuroscience 27
  • Neurology 51
  • Cellular and Molecular Neuroscience 105
Replace Liat Rousso-Noori with:
Liat Rousso-Noori Israel
Ludi Zhang China
Sarah J. Creed Australia
Zhourui Wu China
Luqing Zhang China
Shimon Lecht Israel
Theodore L. Drell Germany
Yuhua Huang China
Carla S. Veríssimo Netherlands
David W. Infanger United States
Mei Ding relative to Liat Rousso-Noori Israel Liat Rousso-Noori's profile →
Citations per field
00.5×1.6×
Liat Rousso-Noori · 1×
Citations per year

Countries citing papers authored by Mei Ding

Since Specialization
Citations

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

Fields of papers citing papers by Mei Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019205
2 201872
3 202039
4 201439
5 201739
6 201335
7 201932
8 201731
9 201925
10 201523
11 201822
12 201821
13 201121
14 201920
15 201318
16 201817
17 202015
18 201214
19 201913
20 202312

About Mei Ding

Mei Ding is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Immunology and Hematology, having authored 87 papers that have together received 967 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (8 papers), Receptor Mechanisms and Signaling (7 papers), Forensic and Genetic Research (6 papers), Genetic Associations and Epidemiology (6 papers), RNA modifications and cancer (6 papers), RNA Research and Splicing (5 papers), Genomics and Chromatin Dynamics (5 papers) and Molecular Biology Techniques and Applications (5 papers). The work is most often cited by research in Biological Psychiatry (33 citations), Molecular Biology (535 citations), Developmental Neuroscience (27 citations), Neurology (51 citations) and Cellular and Molecular Neuroscience (105 citations). Mei Ding has collaborated with scholars based in China, Sweden and United Kingdom. Frequent co-authors include Xin Wang, Jun Yao, Henrik Andersson, Baojie Wang, Lauren Drowley, Alleyn T. Plowright, Qing‐Dong Wang, Hao Pang, Maryam Clausen and Ian P. Barrett. Their work appears in journals such as SLAS DISCOVERY, Scientific Reports, Frontiers in Immunology, Journal of Molecular Neuroscience and Blood.

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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