Kai Su
Impact in
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Reproductive Medicine top 10%
- Sperm and Testicular Function
Papers in
-
- Respiratory Support and Mechanisms 2
-
- Anesthesia and Sedative Agents 3
- Airway Management and Intubation Techniques 2
- Co-authors
- Jundong Wang (3 shared papers)Qianqian Shao (1 shared paper)Bao Zhao (1 shared paper)Shiyin Ma (1 shared paper)Hao Liu (1 shared paper)Nannan Wang (1 shared paper)Ruiyan Niu (2 shared papers)Zilong Sun (2 shared papers)
- Journals
- American Journal of Physiology-Lung Cellular and Molecular Physiology (2 papers)Environmental Toxicology (1 paper)Annals of Medicine (1 paper)Inflammation Research (1 paper)Analytical Chemistry (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Kai Su
14 papers receiving 357 citations
Peers
Comparison fields: 5 of 75
- Cancer Research 78
- Reproductive Medicine 39
- Water Science and Technology 50
- Developmental Neuroscience 13
- Complementary and alternative medicine 23
Countries citing papers authored by Kai Su
This map shows the geographic impact of Kai Su'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 Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Su more than expected).
Fields of papers citing papers by Kai Su
This network shows the impact of papers produced by Kai Su. 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 Su. The network helps show where Kai Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Su, 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 | 2021 | 92 | |
| 2 | 2011 | 76 | |
| 3 | 2010 | 61 | |
| 4 | 2015 | 55 | |
| 5 | 2021 | 16 | |
| 6 | 2016 | 14 | |
| 7 | 2021 | 12 | |
| 8 | 2016 | 11 | |
| 9 | 2018 | 8 | |
| 10 | 2023 | 7 | |
| 11 | 2021 | 6 | |
| 12 | [Left ventricular radial and longitudinal systolic function derived from magnetic resonance imaging in hypertrophic cardiomyopathy patients]. | 2014 | 1 |
| 13 | 2020 | 1 | |
| 14 | 2011 | 1 | |
| 15 | 2024 | 0 | |
| 16 | 2024 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2023 | 0 |
About Kai Su
Kai Su is a scholar working on Pulmonary and Respiratory Medicine, Anesthesiology and Pain Medicine, Immunology, Surgery and Molecular Biology, having authored 18 papers that have together received 361 indexed citations. Recurring topics across this work include Anesthesia and Sedative Agents (3 papers), Nausea and vomiting management (2 papers), Respiratory Support and Mechanisms (2 papers), Microfluidic and Bio-sensing Technologies (2 papers), Sperm and Testicular Function (2 papers), Airway Management and Intubation Techniques (2 papers), Anesthesia and Pain Management (2 papers) and Reproductive Biology and Fertility (2 papers). The work is most often cited by research in Cancer Research (78 citations), Reproductive Medicine (39 citations), Water Science and Technology (50 citations), Developmental Neuroscience (13 citations) and Complementary and alternative medicine (23 citations). Kai Su has collaborated with scholars based in China and United States. Frequent co-authors include Jundong Wang, Qianqian Shao, Bao Zhao, Shiyin Ma, Hao Liu, Nannan Wang, Ruiyan Niu, Zilong Sun, Jinming Wang and Bin Wang. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, Environmental Toxicology, Annals of Medicine, Inflammation Research and Analytical Chemistry.
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.