Jiaying Lin

2.1k citations
100 papers · 1.5k · h-index 23

Impact in

Papers in

Jiaying Lin

92 papers receiving 1.5k citations

Peers

Jiaying Lin
Comparison fields: 5 of 131
  • Reproductive Medicine 390
  • Obstetrics and Gynecology 150
  • Complementary and alternative medicine 78
  • Immunology 150
  • Rehabilitation 44
Replace Jun Dai with:
Jun Dai China
Jian Lü China
Koji Nakagawa Japan
Han Sung Hwang South Korea
Abdulla Al‐Ansari Qatar
Yoshio Shimizu Japan
Bin Lü China
Jie Min China
Xinghua Xu China
Yuanyuan Fang China
Jiaying Lin relative to Jun Dai China Jun Dai's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jiaying Lin

Since Specialization
Citations

This map shows the geographic impact of Jiaying Lin'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 Jiaying Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiaying Lin more than expected).

Fields of papers citing papers by Jiaying Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jiaying Lin. 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 Jiaying Lin. The network helps show where Jiaying Lin may publish in the future.

Co-authors

The 25 scholars most cited alongside Jiaying Lin, 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 Jiaying Lin Line = papers co-authored together Jiaying Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021151
2 200191
3 202087
4 202073
5 201270
6 202263
7 202352
8 201148
9 201941
10 202036
11
No Effect of Inactivated SARS-CoV-2 Vaccination on in vitro Fertilization Outcomes: A Propensity Score-Matched Study
202234
12 201132
13 202231
14 201628
15 201828
16 202227
17 202026
18 201325
19 201225
20 201824

About Jiaying Lin

Jiaying Lin is a scholar working on Reproductive Medicine, Pediatrics, Perinatology and Child Health, Artificial Intelligence, Public Health, Environmental and Occupational Health and Immunology, having authored 100 papers that have together received 1.5k indexed citations. Recurring topics across this work include Ovarian function and disorders (22 papers), Assisted Reproductive Technology and Twin Pregnancy (9 papers), Reproductive Biology and Fertility (9 papers), Reproductive System and Pregnancy (8 papers), COVID-19 Impact on Reproduction (6 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers), Maritime Navigation and Safety (4 papers) and Endometriosis Research and Treatment (4 papers). The work is most often cited by research in Reproductive Medicine (390 citations), Obstetrics and Gynecology (150 citations), Complementary and alternative medicine (78 citations), Immunology (150 citations) and Rehabilitation (44 citations). Jiaying Lin has collaborated with scholars based in China, Taiwan and Germany. Frequent co-authors include Jialyu Huang, Qianqian Zhu, Renfei Cai, Jinbao Qin, Yanping Kuang, Xuefeng Lu, Yanping Kuang, Ming-Tong Tsay, Ningling Wang and Weiqing Lin. Their work appears in journals such as Frontiers in Endocrinology, Drug Design Development and Therapy, Human Reproduction, BMC Pregnancy and Childbirth and Reproductive Biology and Endocrinology.

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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