Mei Ding
Impact in
- Biological Psychiatry top 10%
-
- Pluripotent Stem Cells Research
- Congenital heart defects research
- CRISPR and Genetic Engineering
Papers in
-
- RNA modifications and cancer 6
- Single-cell and spatial transcriptomics 4
- Congenital heart defects research 4
- Epigenetics and DNA Methylation 4
- Genetics 13
- Forensic and Genetic Research 6
- Genetic Associations and Epidemiology 5
- Co-authors
- Xin Wang (12 shared papers)Jun Yao (22 shared papers)Alleyn T. Plowright (3 shared papers)Baojie Wang (30 shared papers)Qing‐Dong Wang (3 shared papers)Henrik Andersson (3 shared papers)Lauren Drowley (3 shared papers)Hao Pang (21 shared papers)
- Journals
- SLAS DISCOVERY (4 papers)Blood (3 papers)Frontiers in Immunology (3 papers)Journal of Molecular Neuroscience (3 papers)Scientific Reports (3 papers)
- Partner nations
- ChinaSwedenUnited Kingdom
In The Last Decade
Mei Ding
83 papers receiving 994 citations
Peers
Comparison fields: 5 of 119
- Biological Psychiatry 30
- Molecular Biology 500
- Developmental Neuroscience 24
- Neurology 48
- Cellular and Molecular Neuroscience 94
Countries citing papers authored by Mei Ding
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
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.
All Works
Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 211 | |
| 2 | 2018 | 74 | |
| 3 | 2020 | 42 | |
| 4 | 2014 | 40 | |
| 5 | 2017 | 39 | |
| 6 | 2013 | 36 | |
| 7 | 2019 | 33 | |
| 8 | 2017 | 32 | |
| 9 | 2019 | 25 | |
| 10 | 2018 | 23 | |
| 11 | 2018 | 23 | |
| 12 | 2015 | 23 | |
| 13 | 2011 | 22 | |
| 14 | 2019 | 20 | |
| 15 | 2013 | 19 | |
| 16 | 2018 | 17 | |
| 17 | 2020 | 16 | |
| 18 | 2018 | 14 | |
| 19 | 2023 | 14 | |
| 20 | 2012 | 14 |
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 1.0k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (8 papers), RNA modifications and cancer (6 papers), Forensic and Genetic Research (6 papers), Genetic Associations and Epidemiology (5 papers), Single-cell and spatial transcriptomics (4 papers), Congenital heart defects research (4 papers), Epigenetics and DNA Methylation (4 papers) and Tissue Engineering and Regenerative Medicine (4 papers). The work is most often cited by research in Biological Psychiatry (30 citations), Molecular Biology (500 citations), Developmental Neuroscience (24 citations), Neurology (48 citations) and Cellular and Molecular Neuroscience (94 citations). Mei Ding has collaborated with scholars based in China, Sweden and United Kingdom. Frequent co-authors include Xin Wang, Jun Yao, Alleyn T. Plowright, Baojie Wang, Qing‐Dong Wang, Henrik Andersson, Lauren Drowley, Hao Pang, Maryam Clausen and Ian P. Barrett. Their work appears in journals such as SLAS DISCOVERY, Blood, Frontiers in Immunology, Journal of Molecular Neuroscience and Scientific Reports.
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.