Kaikai Shen
- Physiology top 10%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Psychiatry and Mental health top 10%
- Cognitive Neuroscience top 10%
- Co-authors
- Jürgen FrippOlivier SalvadoRalph N. MartinsKathryn GoozeePratishtha ChatterjeeGeert W. Schmid‐SchönbeinBenjamin W. ZweifachF. A. DeLano
- Topics
- Advanced Neuroimaging Techniques and Applications (12 papers)Alzheimer's disease research and treatments (9 papers)Functional Brain Connectivity Studies (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaCirculation ResearchNeuroImage
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Kaikai Shen
53 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 121
- Physiology 272
- Molecular Biology 240
- Radiology, Nuclear Medicine and Imaging 223
- Psychiatry and Mental health 189
- Cognitive Neuroscience 170
Countries citing papers authored by Kaikai Shen
This map shows the geographic impact of Kaikai Shen'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 Kaikai Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaikai Shen more than expected).
Fields of papers citing papers by Kaikai Shen
This network shows the impact of papers produced by Kaikai Shen. 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 Kaikai Shen. The network helps show where Kaikai Shen may publish in the future.
Co-authorship network of co-authors of Kaikai Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Kaikai Shen. A scholar is included among the top collaborators of Kaikai Shen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kaikai Shen. Kaikai Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 19 | |
| 7 | 46 | |
| 8 | 52 | |
| 9 | 34 | |
| 10 | 44 | |
| 11 | 83 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 49 | |
| 15 | 1 | |
| 16 | Predicting poststroke depression from structural brain connectivity | 1 |
| 17 | Investigating brain connectivity heritability in a twin study using diffusion imaging data | 1 |
| 18 | 63 | |
| 19 | 19 | |
| 20 | 40 |
About Kaikai Shen
Kaikai Shen is a scholar working on Biological Psychiatry, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 56 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (12 papers), Alzheimer's disease research and treatments (9 papers) and Functional Brain Connectivity Studies (9 papers). The work is most often cited by research in Biological Psychiatry (92 citations), Neurology (121 citations) and Behavioral Neuroscience (48 citations). Kaikai Shen has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Jürgen Fripp, Olivier Salvado, Ralph N. Martins, Kathryn Goozee, Pratishtha Chatterjee, Geert W. Schmid‐Schönbein, Benjamin W. Zweifach, F. A. DeLano, Hamid R. Sohrabi and Pierrick Bourgeat. Their work appears in journals such as SHILAP Revista de lepidopterología, Circulation Research and NeuroImage.
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.