Jing Dai

5.3k citations
199 papers · 3.8k indexed · h-index 33

Impact in

Papers in

Jing Dai

185 papers receiving 3.8k citations

Peers

Jing Dai
Comparison fields: 5 of 163
  • Reproductive Medicine 367
  • Geriatrics and Gerontology 137
  • Rheumatology 526
  • Obstetrics and Gynecology 198
  • Molecular Biology 1.7k
Replace Linlin Su with:
Linlin Su China
Lu Li China
Antonio De Luca Italy
Majid Ahmadi Iran
Seyed H. Ghaffari Iran
Ning Xu China
Chee‐Yin Chai Taiwan
Sung‐Chul Lim South Korea
Hiroyuki Kawashima Japan
Pieter Koolwijk Netherlands
Jing Dai relative to Linlin Su China Linlin Su's profile →
Citations per field
00.5×5.2×
Linlin Su · 1×
Citations per year

Countries citing papers authored by Jing Dai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20250
5 20246
6 20241
7 20245
8 202317
9 20235
10 202371
11 201940
12 201881
13 20174
14 20171
15
Effects of Sitaglipin Combined with Metformin for Type 2 Diabetes Mellitus: A Systematic Review
20131
16
Analysis on the socio-behavioral factors related to re-emergence of malaria in Anhui province.
20101
17
Best polarity searching of FPRM circuits with heuristic technique
20093
18 200821
19
Study on property of epoxy resin reinforced With borate whiskers
20072
20
Reviews of Pulse-heating Technique for Thermophysical Properties Measurement
20011

About Jing Dai

Jing Dai is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Hematology, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health, having authored 199 papers that have together received 3.8k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (26 papers), Pregnancy and preeclampsia studies (12 papers), Platelet Disorders and Treatments (11 papers), Maternal and fetal healthcare (10 papers), Ovarian function and disorders (9 papers), Prenatal Screening and Diagnostics (8 papers), Renal and related cancers (8 papers) and Gastric Cancer Management and Outcomes (8 papers). The work is most often cited by research in Reproductive Medicine (367 citations), Geriatrics and Gerontology (137 citations), Rheumatology (526 citations), Obstetrics and Gynecology (198 citations) and Molecular Biology (1.7k 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 Wei Zheng. 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.

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