Chunming Ding
Impact in
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- Prenatal Screening and Diagnostics
- Fetal and Pediatric Neurological Disorders
- Molecular Biology top 5%
- Epigenetics and DNA Methylation
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- CRISPR and Genetic Engineering
Papers in ⓘ
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- Cancer Genomics and Diagnostics 7
- Cancer-related molecular mechanisms research 6
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- Prenatal Screening and Diagnostics 16
- Co-authors
- Charles R. Cantor (10 shared papers)Tze Kin Lau (10 shared papers)Rossa W. K. Chiu (10 shared papers)Yuk Ming Dennis Lo (9 shared papers)Shengnan Jin (28 shared papers)Tse Ngong Leung (7 shared papers)S Chim (4 shared papers)Dmitri D. Pervouchine (1 shared paper)
In The Last Decade
Chunming Ding
80 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 141
- Pediatrics, Perinatology and Child Health 1.3k
- Molecular Biology 2.5k
- Cancer Research 528
- Obstetrics and Gynecology 220
- Genetics 723
Countries citing papers authored by Chunming Ding
This map shows the geographic impact of Chunming 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 Chunming Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunming Ding more than expected).
Fields of papers citing papers by Chunming Ding
This network shows the impact of papers produced by Chunming 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 Chunming Ding. The network helps show where Chunming Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Chunming 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 425 | |
| 2 | 2013 | 280 | |
| 3 | 2006 | 278 | |
| 4 | 2007 | 263 | |
| 5 | 2005 | 261 | |
| 6 | 2004 | 209 | |
| 7 | 2009 | 194 | |
| 8 | 2004 | 148 | |
| 9 | 2003 | 146 | |
| 10 | 2008 | 136 | |
| 11 | 2006 | 108 | |
| 12 | 2008 | 104 | |
| 13 | 2004 | 98 | |
| 14 | 2013 | 96 | |
| 15 | 2003 | 92 | |
| 16 | 2009 | 90 | |
| 17 | 2013 | 71 | |
| 18 | 2005 | 67 | |
| 19 | 2022 | 66 | |
| 20 | 2018 | 61 |
About Chunming Ding
Chunming Ding is a scholar working on Cancer Research, Pediatrics, Perinatology and Child Health, Molecular Biology, Hepatology and Genetics, having authored 81 papers that have together received 4.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (17 papers), Prenatal Screening and Diagnostics (16 papers), RNA modifications and cancer (11 papers), Molecular Biology Techniques and Applications (11 papers), RNA and protein synthesis mechanisms (8 papers), Cancer Genomics and Diagnostics (7 papers), Cancer-related molecular mechanisms research (6 papers) and Liver Disease Diagnosis and Treatment (6 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (1.3k citations), Molecular Biology (2.5k citations), Cancer Research (528 citations), Obstetrics and Gynecology (220 citations) and Genetics (723 citations). Chunming Ding has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Charles R. Cantor, Tze Kin Lau, Rossa W. K. Chiu, Yuk Ming Dennis Lo, Shengnan Jin, Tse Ngong Leung, S Chim, Dmitri D. Pervouchine, Daniel J. Dwyer and James J. Collins. Their work appears in journals such as Clinical Chemistry, Proceedings of the National Academy of Sciences, Annals of Oncology, Nucleic Acids Research and Acta Biochimica et Biophysica 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.