Kai Jiao
Impact in
- Molecular Biology top 5%
- Congenital heart defects research
- Receptor Mechanisms and Signaling
- Developmental Biology and Gene Regulation
- Biological Psychiatry top 10%
Papers in
- Co-authors
- Qin WangH. Scott BaldwinYunjia ChenLorene BattsBrigid L.M. HoganHolger KulessaKevin L. TompkinsXuguang Nie
- Journals
- Developmental Biology (7 papers)Journal of Biological Chemistry (4 papers)The FASEB Journal (4 papers)Biochemical and Biophysical Research Communications (3 papers)Molecular and Cellular Biology (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Kai Jiao
76 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 1.8k
- Biological Psychiatry 53
- Cardiology and Cardiovascular Medicine 389
- Cellular and Molecular Neuroscience 273
- Cancer Research 218
Countries citing papers authored by Kai Jiao
This map shows the geographic impact of Kai Jiao'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 Jiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Jiao more than expected).
Fields of papers citing papers by Kai Jiao
This network shows the impact of papers produced by Kai Jiao. 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 Jiao. The network helps show where Kai Jiao may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Jiao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 4 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 3 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 47 | |
| 8 | 2021 | 9 | |
| 9 | 2020 | 99 | |
| 10 | 2020 | 1 | |
| 11 | 2020 | 11 | |
| 12 | 2020 | 32 | |
| 13 | 2017 | 66 | |
| 14 | 2013 | 43 | |
| 15 | 2012 | 44 | |
| 16 | 2012 | 26 | |
| 17 | 2011 | 61 | |
| 18 | 2009 | 29 | |
| 19 | 2008 | 16 | |
| 20 | 1999 | 6 |
About Kai Jiao
Kai Jiao is a scholar working on Biological Psychiatry, Behavioral Neuroscience, Molecular Biology, Physiology and Cellular and Molecular Neuroscience, having authored 80 papers that have together received 2.4k indexed citations. Recurring topics across this work include Congenital heart defects research (29 papers), Receptor Mechanisms and Signaling (11 papers), Advanced biosensing and bioanalysis techniques (8 papers), Congenital Heart Disease Studies (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Cardiac Fibrosis and Remodeling (6 papers), MicroRNA in disease regulation (6 papers) and Cardiac Valve Diseases and Treatments (6 papers). The work is most often cited by research in Molecular Biology (1.8k citations), Biological Psychiatry (53 citations), Cardiology and Cardiovascular Medicine (389 citations), Cellular and Molecular Neuroscience (273 citations) and Cancer Research (218 citations). Kai Jiao has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Qin Wang, H. Scott Baldwin, Yunjia Chen, Lorene Batts, Brigid L.M. Hogan, Holger Kulessa, Kevin L. Tompkins, Xuguang Nie, Mary Gannon and Erik D. Roberson. Their work appears in journals such as Developmental Biology, Journal of Biological Chemistry, The FASEB Journal, Biochemical and Biophysical Research Communications and Molecular and Cellular Biology.
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.