Sharon Sun

893 total citations
8 papers, 680 citations indexed

About

Sharon Sun is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Artificial Intelligence. According to data from OpenAlex, Sharon Sun has authored 8 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 3 papers in Cardiology and Cardiovascular Medicine and 2 papers in Artificial Intelligence. Recurrent topics in Sharon Sun's work include Functional Brain Connectivity Studies (5 papers), Heart Rate Variability and Autonomic Control (3 papers) and Mental Health Research Topics (2 papers). Sharon Sun is often cited by papers focused on Functional Brain Connectivity Studies (5 papers), Heart Rate Variability and Autonomic Control (3 papers) and Mental Health Research Topics (2 papers). Sharon Sun collaborates with scholars based in United States, China and United Kingdom. Sharon Sun's co-authors include Jian Kong, Natalia Egorova, Guohua Zheng, Jiao Liu, Jing Tao, Xiehua Xue, Xiangli Chen, Lidian Chen, Hong Meng and Márk Vangel and has published in prestigious journals such as Scientific Reports, Statistics in Medicine and Journal of Affective Disorders.

In The Last Decade

Sharon Sun

7 papers receiving 660 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sharon Sun United States	6	303	240	170	161	101	8	680
Zengjian Wang China	17	527 1.7×	211 0.9×	178 1.0×	155 1.0×	170 1.7×	33	883
Elizabeth Dao Canada	16	437 1.4×	195 0.8×	173 1.0×	55 0.3×	99 1.0×	39	836
Monique Goerke Germany	8	243 0.8×	86 0.4×	126 0.7×	77 0.5×	104 1.0×	11	668
Kristen Jorgenson United States	11	273 0.9×	144 0.6×	181 1.1×	100 0.6×	37 0.4×	11	586
Alfonso J. Alfini United States	14	265 0.9×	72 0.3×	175 1.0×	99 0.6×	110 1.1×	24	610
Niousha Bolandzadeh Canada	10	172 0.6×	99 0.4×	329 1.9×	104 0.6×	44 0.4×	14	744
Roberta Sclocco United States	18	571 1.9×	391 1.6×	183 1.1×	386 2.4×	53 0.5×	44	1.1k
Jin Cao United States	20	351 1.2×	292 1.2×	215 1.3×	136 0.8×	26 0.3×	42	892
Lee T. Ferris United States	4	200 0.7×	93 0.4×	104 0.6×	108 0.7×	90 0.9×	10	797
Cynthia Cáceres Spain	14	205 0.7×	113 0.5×	160 0.9×	85 0.5×	49 0.5×	29	644

Countries citing papers authored by Sharon Sun

Since Specialization

Citations

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

Fields of papers citing papers by Sharon Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sharon Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Sharon Sun. A scholar is included among the top collaborators of Sharon 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 Sharon Sun. Sharon 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:

8 of 8 papers shown

1.

Sun, Sharon, et al.. (2021). SupportNet: Neural Networks for Summary Generation and Key Segment Extraction from Technical Support Tickets. 164–173. 1 indexed citations

2.

Tao, Jing, Xiangli Chen, Natalia Egorova, et al.. (2017). Tai Chi Chuan and Baduanjin practice modulates functional connectivity of the cognitive control network in older adults. Scientific Reports. 7(1). 41581–41581. 108 indexed citations

3.

Tao, Jing, Jiao Liu, Weilin Liu, et al.. (2017). Tai Chi Chuan and Baduanjin Increase Grey Matter Volume in Older Adults: A Brain Imaging Study. Journal of Alzheimer s Disease. 60(2). 389–400. 96 indexed citations

4.

Tao, Jing, Jiao Liu, Natalia Egorova, et al.. (2016). Increased Hippocampus–Medial Prefrontal Cortex Resting-State Functional Connectivity and Memory Function after Tai Chi Chuan Practice in Elder Adults. Frontiers in Aging Neuroscience. 8. 25–25. 116 indexed citations

5.

Rong, Peijing, Jun Liu, Liping Wang, et al.. (2016). Effect of transcutaneous auricular vagus nerve stimulation on major depressive disorder: A nonrandomized controlled pilot study. Journal of Affective Disorders. 195. 172–179. 204 indexed citations

6.

Li, Zhengjie, Lei Lan, Fang Zeng, et al.. (2016). The altered right frontoparietal network functional connectivity in migraine and the modulation effect of treatment. Cephalalgia. 37(2). 161–176. 53 indexed citations

7.

Hwang, Jiwon, Natalia Egorova, Xia Yang, et al.. (2015). Subthreshold depression is associated with impaired resting-state functional connectivity of the cognitive control network. Translational Psychiatry. 5(11). e683–e683. 98 indexed citations

8.

Li, Lang, Jeffrey Huang, Sharon Sun, et al.. (2004). Selecting pre‐screening items for early intervention trials of dementia—a case study. Statistics in Medicine. 23(2). 271–283. 4 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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