Jing Dai
Impact in
- Geriatrics and Gerontology top 2%
- Reproductive Medicine top 2%
- Sperm and Testicular Function
- Ovarian function and disorders
Papers in
-
- Advanced biosensing and bioanalysis techniques 6
- RNA Interference and Gene Delivery 5
-
- Reproductive Biology and Fertility 16
- Co-authors
- A. Bakr M. Rabie (2 shared papers)Xian Wang (4 shared papers)Zhi‐Shu Huang (5 shared papers)Jia‐Heng Tan (5 shared papers)Xiaokun Zeng (2 shared papers)Daniel G. Remick (1 shared paper)Xiu‐Cai Chen (4 shared papers)Can Dai (9 shared papers)
- Journals
- Journal of Assisted Reproduction and Genetics (9 papers)Human Reproduction (8 papers)Fertility and Sterility (5 papers)Journal of Clinical Oncology (4 papers)The Journal of Maternal-Fetal & Neonatal Medicine (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jing Dai
185 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 157
- Geriatrics and Gerontology 132
- Reproductive Medicine 298
- Rheumatology 342
- Obstetrics and Gynecology 158
- Molecular Biology 1.4k
Countries citing papers authored by Jing Dai
This map shows the geographic impact of Jing Dai'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 Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Dai more than expected).
Fields of papers citing papers by Jing Dai
This network shows the impact of papers produced by Jing Dai. 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 Dai. The network helps show where Jing Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing Dai, 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 195 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 306 | |
| 2 | 2009 | 271 | |
| 3 | 2014 | 196 | |
| 4 | 2003 | 147 | |
| 5 | 2018 | 147 | |
| 6 | 2022 | 93 | |
| 7 | 2021 | 84 | |
| 8 | 2018 | 82 | |
| 9 | 2018 | 82 | |
| 10 | 2023 | 80 | |
| 11 | 2015 | 65 | |
| 12 | 2021 | 61 | |
| 13 | 1992 | 54 | |
| 14 | 2018 | 52 | |
| 15 | 2006 | 52 | |
| 16 | 2017 | 52 | |
| 17 | 2017 | 46 | |
| 18 | 2005 | 46 | |
| 19 | 2015 | 46 | |
| 20 | 2007 | 45 |
About Jing Dai
Jing Dai is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Pulmonary and Respiratory Medicine, Obstetrics and Gynecology and Hematology, having authored 195 papers that have together received 3.8k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (16 papers), Pregnancy and preeclampsia studies (9 papers), Platelet Disorders and Treatments (8 papers), Ovarian function and disorders (7 papers), Sperm and Testicular Function (7 papers), Gastric Cancer Management and Outcomes (6 papers), Advanced biosensing and bioanalysis techniques (6 papers) and RNA Interference and Gene Delivery (5 papers). The work is most often cited by research in Geriatrics and Gerontology (132 citations), Reproductive Medicine (298 citations), Rheumatology (342 citations), Obstetrics and Gynecology (158 citations) and Molecular Biology (1.4k citations). Jing Dai has collaborated with scholars based in China, United States and Canada. Frequent co-authors include A. Bakr M. Rabie, Xian Wang, Zhi‐Shu Huang, Jia‐Heng Tan, Xiaokun Zeng, Daniel G. Remick, Xiu‐Cai Chen, Can Dai, Ge Lin and Guangxiu Lu. Their work appears in journals such as Journal of Assisted Reproduction and Genetics, Human Reproduction, Fertility and Sterility, Journal of Clinical Oncology and The Journal of Maternal-Fetal & Neonatal Medicine.
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.