Kaikai Shen

1.8k total citations
56 papers, 1.2k citations indexed

About

Kaikai Shen is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Physiology. According to data from OpenAlex, Kaikai Shen has authored 56 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Cognitive Neuroscience and 10 papers in Physiology. Recurrent topics in Kaikai Shen's work include Advanced Neuroimaging Techniques and Applications (12 papers), Alzheimer's disease research and treatments (9 papers) and Functional Brain Connectivity Studies (9 papers). Kaikai Shen is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (12 papers), Alzheimer's disease research and treatments (9 papers) and Functional Brain Connectivity Studies (9 papers). Kaikai Shen collaborates with scholars based in Australia, China and United States. Kaikai Shen's co-authors include Jürgen Fripp, Olivier Salvado, Ralph N. Martins, Kathryn Goozee, Pratishtha Chatterjee, F. A. DeLano, Geert W. Schmid‐Schönbein, Benjamin W. Zweifach, Hamid R. Sohrabi and Kevin Taddei and has published in prestigious journals such as SHILAP Revista de lepidopterología, Circulation Research and NeuroImage.

In The Last Decade

Kaikai Shen

53 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kaikai Shen Australia 22 272 240 223 189 170 56 1.2k
Fenghua Chen China 25 147 0.5× 473 2.0× 189 0.8× 206 1.1× 173 1.0× 67 2.0k
Julia Krämer Germany 22 442 1.6× 356 1.5× 519 2.3× 361 1.9× 288 1.7× 54 1.8k
Kieren Allinson United Kingdom 21 581 2.1× 354 1.5× 258 1.2× 218 1.2× 190 1.1× 60 1.6k
Manuela Vaněčková Czechia 33 166 0.6× 451 1.9× 535 2.4× 142 0.8× 194 1.1× 148 3.2k
Jukka Peltola Finland 23 127 0.5× 303 1.3× 161 0.7× 575 3.0× 286 1.7× 50 2.0k
Jung‐Ick Byun South Korea 26 210 0.8× 430 1.8× 65 0.3× 383 2.0× 429 2.5× 123 2.5k
Rong Luo China 24 190 0.7× 894 3.7× 136 0.6× 123 0.7× 87 0.5× 79 1.8k
Guanghong Ding China 24 388 1.4× 217 0.9× 187 0.8× 107 0.6× 209 1.2× 133 2.0k
Johanna Öberg Sweden 17 349 1.3× 322 1.3× 156 0.7× 183 1.0× 157 0.9× 24 1.3k

Countries citing papers authored by Kaikai Shen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
2.
Shen, Kaikai, Bei Jiang, Bingbing Li, et al.. (2025). VISTA expressed on tumor cells is regulated by m6A and influences immune microenvironment through STAT3/CCL22 in NSCLC. Journal of Translational Medicine. 23(1). 1043–1043.
3.
Ke, Z. J., Kaikai Shen, Li Wang, et al.. (2025). Emerging roles of mitochondrial sirtuin SIRT5 in succinylation modification and cancer development. Frontiers in Immunology. 16. 1531246–1531246. 5 indexed citations
4.
Song, Yan, et al.. (2024). A Preliminary Study Using High‐Frequency Ultrasound to Evaluate Vulvar Skin With Lichenoid Vulvar Dermatoses. Skin Research and Technology. 30(9). e70065–e70065. 1 indexed citations
5.
Wei, Yuqing, Kaikai Shen, Tangfeng Lv, et al.. (2020). Comparison between closed pleural biopsy and medical thoracoscopy for the diagnosis of undiagnosed exudative pleural effusions: a systematic review and meta-analysis. Translational Lung Cancer Research. 9(3). 446–458. 19 indexed citations
6.
7.
8.
Sohrabi, Hamid R., Kathryn Goozee, Michael Weinborn, et al.. (2020). Personality factors and cerebral glucose metabolism in community-dwelling older adults. Brain Structure and Function. 225(5). 1511–1522. 4 indexed citations
9.
Shen, Kaikai, Thomas Welton, Greg T. Sutherland, et al.. (2019). Structural core of the executive control network: A high angular resolution diffusion MRI study. Human Brain Mapping. 41(5). 1226–1236. 46 indexed citations
10.
Chatterjee, Pratishtha, Henrik Zetterberg, Kathryn Goozee, et al.. (2019). Plasma neurofilament light chain and amyloid-β are associated with the kynurenine pathway metabolites in preclinical Alzheimer’s disease. Journal of Neuroinflammation. 16(1). 186–186. 52 indexed citations
11.
Goozee, Kathryn, Pratishtha Chatterjee, Ian James, et al.. (2017). Alterations in erythrocyte fatty acid composition in preclinical Alzheimer’s disease. Scientific Reports. 7(1). 676–676. 35 indexed citations
12.
Li, Ziyao, et al.. (2016). Application of shear wave elastography combined with superb micro-vascular imaging in diagnosing benign and malignant breast solid masses. Zhonghua chaosheng yingxiangxue zazhi. 25(9). 795–799. 1 indexed citations
13.
Ren, Min, et al.. (2016). Study of left ventricular diastolic function in hypertensive patients with different left ventricular geometric patterns by vector flow mapping. Zhonghua chaosheng yingxiangxue zazhi. 25(11). 926–931. 1 indexed citations
14.
Mitra, Jhimli, Kaikai Shen, Soumya Ghose, et al.. (2016). Statistical machine learning to identify traumatic brain injury (TBI) from structural disconnections of white matter networks. NeuroImage. 129. 247–259. 49 indexed citations
15.
Shen, Kaikai, Vincent Doré, Stephen Rose, et al.. (2015). Heritability analysis of surface-based cortical thickness estimation on a large twin cohort. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9413. 94131Z–94131Z. 1 indexed citations
16.
Mitra, Jhimli, Leeanne M. Carey, Jürgen Fripp, et al.. (2014). Predicting poststroke depression from structural brain connectivity. International Journal of Stroke. 9. 44–44. 1 indexed citations
17.
Shen, Kaikai, Stephen Rose, Jürgen Fripp, et al.. (2014). Investigating brain connectivity heritability in a twin study using diffusion imaging data. QUT ePrints (Queensland University of Technology). 1 indexed citations
18.
Shen, Kaikai, Stephen Rose, Jürgen Fripp, et al.. (2014). Investigating brain connectivity heritability in a twin study using diffusion imaging data. NeuroImage. 100. 628–641. 29 indexed citations
19.
Chandra, Shekhar S., Jason Dowling, Kaikai Shen, et al.. (2012). Patient Specific Prostate Segmentation in 3-D Magnetic Resonance Images. IEEE Transactions on Medical Imaging. 31(10). 1955–1964. 63 indexed citations
20.
Leung, Kelvin K., Kaikai Shen, Josephine Barnes, et al.. (2010). Increasing Power to Predict Mild Cognitive Impairment Conversion to Alzheimer’s Disease Using Hippocampal Atrophy Rate and Statistical Shape Models. Lecture notes in computer science. 13(Pt 2). 125–132. 19 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Fenghua Chen Breakdown of academic impact, for papers by Julia Krämer Breakdown of academic impact, for papers by Kieren Allinson Breakdown of academic impact, for papers by Manuela Vaněčková Breakdown of academic impact, for papers by Jukka Peltola Breakdown of academic impact, for papers by Jung‐Ick Byun Breakdown of academic impact, for papers by Rong Luo Breakdown of academic impact, for papers by Guanghong Ding Breakdown of academic impact, for papers by Johanna Öberg
Rankless by CCL
2026