Kai Yan
Impact in
- Obstetrics and Gynecology top 0.5%
- COVID-19 Impact on Reproduction
- Pregnancy and preeclampsia studies
- Sensory Systems top 5%
- Hearing, Cochlea, Tinnitus, Genetics
Papers in
-
- RNA and protein synthesis mechanisms 5
- RNA Research and Splicing 4
- RNA regulation and disease 4
- Genetics 15
- Genomics and Rare Diseases 4
- Co-authors
- Feifan Xiao (14 shared papers)Wenhao Zhou (20 shared papers)Lingkong Zeng (3 shared papers)Wenhao Yuan (3 shared papers)Shiwen Xia (2 shared papers)Jianbo Shao (1 shared paper)Qiuchang Sun (3 shared papers)Yuanshen Zhao (2 shared papers)
- Journals
- Frontiers in Genetics (6 papers)World Journal of Pediatrics (5 papers)Human Heredity (3 papers)International Journal of Cardiology (2 papers)Clinica Chimica Acta (2 papers)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Kai Yan
73 papers receiving 1.7k citations
Kai Yan's Hit Papers
Peers
Comparison fields: 5 of 126
- Obstetrics and Gynecology 608
- Sensory Systems 111
- Pediatrics, Perinatology and Child Health 205
- Infectious Diseases 188
- Neurology 65
Countries citing papers authored by Kai Yan
This map shows the geographic impact of Kai Yan'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 Kai Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Yan more than expected).
Fields of papers citing papers by Kai Yan
This network shows the impact of papers produced by Kai Yan. 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 Kai Yan. The network helps show where Kai Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Yan, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Neonatal Early-Onset Infection With SARS-CoV-2 in 33 Neonates Born to Mothers With COVID-19 in Wuhan, China Hit paper breakdown → | 2020 | 694 |
| 2 | 2020 | 205 | |
| 3 | 2021 | 101 | |
| 4 | 2005 | 50 | |
| 5 | 2005 | 49 | |
| 6 | 2021 | 33 | |
| 7 | 2008 | 31 | |
| 8 | 2021 | 31 | |
| 9 | 2022 | 24 | |
| 10 | 2013 | 24 | |
| 11 | 2022 | 21 | |
| 12 | 2015 | 20 | |
| 13 | 2019 | 20 | |
| 14 | 2005 | 19 | |
| 15 | 2019 | 18 | |
| 16 | 2017 | 16 | |
| 17 | 2018 | 15 | |
| 18 | 2005 | 15 | |
| 19 | 2003 | 14 | |
| 20 | 2019 | 14 |
About Kai Yan
Kai Yan is a scholar working on Molecular Biology, Genetics, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Sensory Systems, having authored 78 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (7 papers), Prenatal Screening and Diagnostics (6 papers), COVID-19 Impact on Reproduction (5 papers), RNA and protein synthesis mechanisms (5 papers), RNA Research and Splicing (4 papers), RNA regulation and disease (4 papers), Genomics and Rare Diseases (4 papers) and Neonatal Respiratory Health Research (4 papers). The work is most often cited by research in Obstetrics and Gynecology (608 citations), Sensory Systems (111 citations), Pediatrics, Perinatology and Child Health (205 citations), Infectious Diseases (188 citations) and Neurology (65 citations). Kai Yan has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Feifan Xiao, Wenhao Zhou, Lingkong Zeng, Wenhao Yuan, Shiwen Xia, Jianbo Shao, Qiuchang Sun, Yuanshen Zhao, Dong Liang and Zhicheng Li. Their work appears in journals such as Frontiers in Genetics, World Journal of Pediatrics, Human Heredity, International Journal of Cardiology and Clinica Chimica Acta.
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.