Chung‐Kai Sun

1.6k total citations · 3 hit papers
28 papers, 1.1k citations indexed

About

Chung‐Kai Sun is a scholar working on Psychiatry and Mental health, Physiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Chung‐Kai Sun has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Psychiatry and Mental health, 7 papers in Physiology and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Chung‐Kai Sun's work include Dementia and Cognitive Impairment Research (13 papers), Alzheimer's disease research and treatments (6 papers) and Functional Brain Connectivity Studies (3 papers). Chung‐Kai Sun is often cited by papers focused on Dementia and Cognitive Impairment Research (13 papers), Alzheimer's disease research and treatments (6 papers) and Functional Brain Connectivity Studies (3 papers). Chung‐Kai Sun collaborates with scholars based in United States, Taiwan and Netherlands. Chung‐Kai Sun's co-authors include Michael Donohue, Paul Aisen, Reisa A. Sperling, Rema Raman, Ronald C. Petersen, Michael W. Weiner, R. Yaari, Robert A. Rissman, Karen C. Holdridge and Keith A. Johnson and has published in prestigious journals such as JAMA, Biomedicine & Pharmacotherapy and JAMA Neurology.

In The Last Decade

Chung‐Kai Sun

28 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Association Between Elevated Brain Amyloid and Subsequent Cognitive Decline Among Cognitively Normal Persons

2017 307 citations Michael Donohue, Reisa A. Sperling et al. JAMA profile →
Safety, Efficacy, and Feasibility of Intranasal Insulin for the Treatment of Mild Cognitive Impairment and Alzheimer Disease Dementia

2020 266 citations Suzanne Craft, Rema Raman et al. JAMA Neurology profile →
Association of Factors With Elevated Amyloid Burden in Clinically Normal Older Individuals

2020 201 citations Reisa A. Sperling, Michael Donohue et al. JAMA Neurology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chung‐Kai Sun United States	12	608	602	184	178	116	28	1.1k
Mateusz S. Jasielec United States	12	720 1.2×	735 1.2×	279 1.5×	162 0.9×	146 1.3×	17	1.2k
Göran Hagman Sweden	12	557 0.9×	516 0.9×	194 1.1×	127 0.7×	125 1.1×	33	986
Jeremy A. Syrjanen United States	20	690 1.1×	683 1.1×	145 0.8×	174 1.0×	156 1.3×	48	1.2k
Judith L. Heidebrink United States	15	494 0.8×	809 1.3×	252 1.4×	192 1.1×	104 0.9×	32	1.3k
R. Yaari United States	17	533 0.9×	525 0.9×	154 0.8×	120 0.7×	151 1.3×	50	1.2k
Stephanie J. B. Vos Netherlands	21	982 1.6×	1.1k 1.8×	276 1.5×	280 1.6×	227 2.0×	44	1.7k
Scott Komo United States	17	523 0.9×	767 1.3×	318 1.7×	129 0.7×	163 1.4×	27	1.4k
Soichiro Shimizu Japan	23	560 0.9×	567 0.9×	263 1.4×	249 1.4×	136 1.2×	86	1.4k
Carina Wattmo Sweden	22	473 0.8×	704 1.2×	141 0.8×	160 0.9×	108 0.9×	44	1.2k
Firoza Z Lussier Canada	17	821 1.4×	644 1.1×	242 1.3×	213 1.2×	193 1.7×	61	1.1k

Countries citing papers authored by Chung‐Kai Sun

Since Specialization

Citations

This map shows the geographic impact of Chung‐Kai Sun'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 Chung‐Kai Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chung‐Kai Sun more than expected).

Fields of papers citing papers by Chung‐Kai Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chung‐Kai Sun. 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 Chung‐Kai Sun. The network helps show where Chung‐Kai Sun may publish in the future.

Co-authorship network of co-authors of Chung‐Kai Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Chung‐Kai Sun. A scholar is included among the top collaborators of Chung‐Kai Sun 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 Chung‐Kai Sun. Chung‐Kai Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, Jingrong, Jing Sun, Jibao Chen, et al.. (2024). Relationship between reticulospinal system sensitization and proprioceptive pathways in the development of dynamic spasticity (ReProDS) post-spinal cord injury: protocol for a prospective, observational cohort study. BMC Neurology. 24(1). 440–440. 1 indexed citations

Sun, Chung‐Kai, et al.. (2024). Pharmacokinetic analysis of antiviral drug ritonavir across the blood–brain barrier and its interaction with Scutellaria baicalensis using multisite microdialysis in rats. Journal of Pharmaceutical and Biomedical Analysis. 245. 116162–116162. 1 indexed citations

Sun, Chung‐Kai, Chun‐Hao Chang, Lie‐Chwen Lin, et al.. (2024). The anti-COVID-19 drug nirmatrelvir crosses the blood‒brain barrier and exhibits herb–drug pharmacokinetic interactions with Scutellaria baicalensis formulations. Heliyon. 10(15). e34820–e34820. 3 indexed citations

Sun, Chung‐Kai, et al.. (2024). The anti-COVID-19 drug Paxlovid crosses biological barriers of the placenta and brain in rats. PubMed. 2(1). 4–4. 2 indexed citations

Sun, Chung‐Kai, et al.. (2024). Pharmacokinetic analysis of placental transfer of ritonavir as a component of paxlovid using microdialysis in pregnant rats. Heliyon. 10(2). e24333–e24333. 3 indexed citations

Sun, Chung‐Kai, et al.. (2022). Evaluation of daily disposable senofilcon A contact lenses in a symptomatic population. Contact Lens and Anterior Eye. 45(5). 101574–101574. 8 indexed citations

Sun, Chung‐Kai, et al.. (2022). Transplacental transfer of acetaminophen in pregnant rats. Biomedicine & Pharmacotherapy. 154. 113613–113613. 1 indexed citations

Papp, Kathryn V., Dorene M. Rentz, Paul Maruff, et al.. (2021). The Computerized Cognitive Composite (C3) in A4, an Alzheimer's Disease Secondary Prevention Trial. The Journal of Prevention of Alzheimer s Disease. 8(1). 59–67. 41 indexed citations

Amariglio, Rebecca E., Sietske A.M. Sikkes, Gad A. Marshall, et al.. (2021). Item-Level Investigation of Participant and Study Partner Report on the Cognitive Function Index from the A4 Study Screening Data. The Journal of Prevention of Alzheimer s Disease. 8(3). 257–262. 20 indexed citations

10.

Langford, Oliver, Rema Raman, Reisa A. Sperling, et al.. (2020). Predicting Amyloid Burden to Accelerate Recruitment of Secondary Prevention Clinical Trials. The Journal of Prevention of Alzheimer s Disease. 7(4). 213–218. 32 indexed citations

11.

Craft, Suzanne, Rema Raman, Tiffany W. Chow, et al.. (2020). Safety, Efficacy, and Feasibility of Intranasal Insulin for the Treatment of Mild Cognitive Impairment and Alzheimer Disease Dementia. JAMA Neurology. 77(9). 1099–1099. 266 indexed citations breakdown →

12.

Sperling, Reisa A., Michael Donohue, Rema Raman, et al.. (2020). Association of Factors With Elevated Amyloid Burden in Clinically Normal Older Individuals. JAMA Neurology. 77(6). 735–735. 201 indexed citations breakdown →

13.

Marshall, Gad A., Sietske A.M. Sikkes, Rebecca E. Amariglio, et al.. (2020). Instrumental activities of daily living, amyloid, and cognition in cognitively normal older adults screening for the A4 Study. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 12(1). e12118–e12118. 21 indexed citations

14.

Sano, Mary, Carolyn W. Zhu, Jeffrey Kaye, et al.. (2019). A randomized clinical trial to evaluate home‐based assessment of people over 75 years old. Alzheimer s & Dementia. 15(5). 615–624. 5 indexed citations

15.

Sano, Mary, Susan Egelko, Carolyn W. Zhu, et al.. (2018). Participant satisfaction with dementia prevention research: Results from Home‐Based Assessment trial. Alzheimer s & Dementia. 14(11). 1397–1405. 12 indexed citations

16.

Iwatsubo, Takeshi, Atsushi Iwata, Kazushi Suzuki, et al.. (2018). Japanese and North American Alzheimer's Disease Neuroimaging Initiative studies: Harmonization for international trials. Alzheimer s & Dementia. 14(8). 1077–1087. 80 indexed citations

17.

Donohue, Michael, Reisa A. Sperling, Ronald C. Petersen, et al.. (2017). Association Between Elevated Brain Amyloid and Subsequent Cognitive Decline Among Cognitively Normal Persons. JAMA. 317(22). 2305–2305. 307 indexed citations breakdown →

18.

Donohue, Michael, et al.. (2016). Cross‐validation of optimized composites for preclinical Alzheimer's disease. Alzheimer s & Dementia Translational Research & Clinical Interventions. 3(1). 123–129. 19 indexed citations

19.

Donohue, Michael, Setareh H. Moghadam, Allyson D. Roe, et al.. (2014). Longitudinal plasma amyloid beta in Alzheimer's disease clinical trials. Alzheimer s & Dementia. 11(9). 1069–1079. 24 indexed citations

20.

Sano, Mary, Susan Egelko, Michael Donohue, et al.. (2013). P4–205: Satisfaction of elderly research volunteers with home‐based clinical trial participation. Alzheimer s & Dementia. 9(4S_Part_19). 2 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.

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