Jing Du

142 papers receiving 4.5k citations

Jing Du's Hit Papers

Comprehensive human genome amplification using multiple displacement amplification 2002 · 1.1k citations
1.1k0+8+16Years since publication2505007501000

Peers

Jing Du
Comparison fields: 5 of 168
  • Obstetrics and Gynecology 282
  • Reproductive Medicine 272
  • Molecular Biology 2.0k
  • Genetics 661
  • Orthodontics 91
Replace Lu Li with:
Lu Li China
Gregory A. Johnson United States
Thomas J. Rosol United States
Hayato Kawakami Japan
Paul Mozdziak United States
Timo Ylikomi Finland
Ross Barnard Australia
Teiji Wada Japan
Xiaojie Wang China
Na Li China
Jing Du relative to Lu Li China Lu Li's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jing Du

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jing Du Line = papers co-authored together Jing Du links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 150 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 →
20021094
2 2003336
3 2012198
4 2011177
5 2018126
6 201198
7 201093
8 200889
9 201587
10 201275
11 201675
12 201268
13 201067
14 201265
15 201062
16 200858
17 200754
18 200653
19 201350
20 201849

About Jing Du

Jing Du is a scholar working on Molecular Biology, Obstetrics and Gynecology, Genetics, Reproductive Medicine and Biomedical Engineering, having authored 150 papers that have together received 4.6k 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 (282 citations), Reproductive Medicine (272 citations), Molecular Biology (2.0k citations), Genetics (661 citations) and Orthodontics (91 citations). Jing Du has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Huimin Zhao, Seiyu Hosono, Xiaohong Wu, Yuefen Du, Roger S. Lasken, A. Fawad Faruqi, Zhenyu Sun, Stephen F. Kingsmore, Frank B. Dean and Mark D. Driscoll. Their work appears in journals such as Gene, Pharmacogenomics, Journal of Neural Transmission, Journal of Assisted Reproduction and Genetics 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.

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