Jing Du
Impact in
- Obstetrics and Gynecology top 2%
- Reproductive Medicine top 2%
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 10
- Epigenetics and DNA Methylation 5
-
- Pregnancy and preeclampsia studies 12
- Gestational Diabetes Research and Management 11
- Co-authors
- Huimin Zhao (5 shared papers)Xiaohong Wu (3 shared papers)Yuefen Du (3 shared papers)Seiyu Hosono (3 shared papers)A. Fawad Faruqi (3 shared papers)Roger S. Lasken (3 shared papers)Zhenyu Sun (3 shared papers)Frank B. Dean (2 shared papers)
- Journals
- Gene (5 papers)Pharmacogenomics (5 papers)Journal of Neural Transmission (4 papers)Bioresource Technology (3 papers)PLoS ONE (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jing Du
143 papers receiving 4.7k citations
Jing Du's Hit Papers
Peers
Comparison fields: 5 of 168
- Obstetrics and Gynecology 286
- Reproductive Medicine 281
- Molecular Biology 2.2k
- Genetics 703
- Orthodontics 92
Countries citing papers authored by Jing Du
This map shows the geographic impact of Jing Du'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 Jing Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Du more than expected).
Fields of papers citing papers by Jing Du
This network shows the impact of papers produced by Jing Du. 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 Jing Du. The network helps show where Jing Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing Du, 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 151 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comprehensive human genome amplification using multiple displacement amplification Hit paper breakdown → | 2002 | 1175 |
| 2 | 2003 | 346 | |
| 3 | 2011 | 207 | |
| 4 | 2012 | 203 | |
| 5 | 2018 | 127 | |
| 6 | 2010 | 102 | |
| 7 | 2011 | 101 | |
| 8 | 2008 | 90 | |
| 9 | 2015 | 88 | |
| 10 | 2012 | 77 | |
| 11 | 2016 | 77 | |
| 12 | 2012 | 70 | |
| 13 | 2010 | 69 | |
| 14 | 2012 | 69 | |
| 15 | 2010 | 68 | |
| 16 | 2008 | 64 | |
| 17 | 2007 | 55 | |
| 18 | 2006 | 54 | |
| 19 | 2013 | 53 | |
| 20 | 2019 | 49 |
About Jing Du
Jing Du is a scholar working on Molecular Biology, Obstetrics and Gynecology, Genetics, Reproductive Medicine and Biomedical Engineering, having authored 151 papers that have together received 4.9k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (12 papers), Gestational Diabetes Research and Management (11 papers), Microbial Metabolic Engineering and Bioproduction (10 papers), Biofuel production and bioconversion (9 papers), Reproductive System and Pregnancy (8 papers), Schizophrenia research and treatment (7 papers), Ovarian function and disorders (6 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Obstetrics and Gynecology (286 citations), Reproductive Medicine (281 citations), Molecular Biology (2.2k citations), Genetics (703 citations) and Orthodontics (92 citations). Jing Du has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Huimin Zhao, Xiaohong Wu, Yuefen Du, Seiyu Hosono, A. Fawad Faruqi, Roger S. Lasken, Zhenyu Sun, Frank B. Dean, Stephen F. Kingsmore and Mark D. Driscoll. Their work appears in journals such as Gene, Pharmacogenomics, Journal of Neural Transmission, Bioresource Technology and PLoS ONE.
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.