Sien‐Tsong Chen

919 citations
18 papers · 701 · h-index 11

Impact in

Papers in

Sien‐Tsong Chen

18 papers receiving 666 citations

Peers

Sien‐Tsong Chen
Comparison fields: 5 of 65
  • Rehabilitation 57
  • Internal Medicine 27
  • Psychiatry and Mental health 106
  • Neurology 108
  • Epidemiology 220
Replace Mark N. Rubin with:
Mark N. Rubin United States
Dennis W. Dietrich United States
William K. Diprose New Zealand
Michel Shamy Canada
Kavian Ghandehari Iran
Ayeesha Kamran Kamal Pakistan
Natalie Cheng United States
Ayeesha Kamran Kamal Pakistan
Annemarei Ranta New Zealand
Elisabet Zia Sweden
Sien‐Tsong Chen relative to Mark N. Rubin United States Mark N. Rubin's profile →
Citations per field
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Mark N. Rubin · 1×
Citations per year

Countries citing papers authored by Sien‐Tsong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Sien‐Tsong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sien‐Tsong Chen. 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 Sien‐Tsong Chen. The network helps show where Sien‐Tsong Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Sien‐Tsong Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sien‐Tsong Chen Line = papers co-authored together Sien‐Tsong Chen links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2010230
2 2002169
3 200395
4 201354
5 200829
6 201025
7 201216
8 200415
9 200612
10 200510
11 200910
12 19967
13 20037
14 20047
15 19985
16 20124
17 19954
18 20062

About Sien‐Tsong Chen

Sien‐Tsong Chen is a scholar working on Neurology, Pulmonary and Respiratory Medicine, Epidemiology, Psychiatry and Mental health and Molecular Biology, having authored 18 papers that have together received 701 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers), Moyamoya disease diagnosis and treatment (2 papers), Intracranial Aneurysms: Treatment and Complications (2 papers), Acute Ischemic Stroke Management (2 papers), Amoebic Infections and Treatments (1 paper) and Muscle Physiology and Disorders (1 paper). The work is most often cited by research in Rehabilitation (57 citations), Internal Medicine (27 citations), Psychiatry and Mental health (106 citations), Neurology (108 citations) and Epidemiology (220 citations). Sien‐Tsong Chen has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Chi-Jen Chen, Tsong-Hai Lee, Wen‐Chuin Hsu, Huei‐Ling Huang, Li‐Chan Lin, Yea‐Ing Lotus Shyu, Min‐Chi Chen, Yea‐Ing Lotus Shyu, Chyi‐Huey Bai and Yuwei Chen. Their work appears in journals such as Cerebrovascular Diseases, Diagnostic Microbiology and Infectious Disease, Neurology, International Journal of Nursing Studies and Clinical Neurology and Neurosurgery.

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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