Chin-I Chen

723 citations
16 papers · 569 · h-index 12

Impact in

Papers in

Chin-I Chen

16 papers receiving 548 citations

Peers

Chin-I Chen
Comparison fields: 5 of 75
  • Developmental Neuroscience 40
  • Epidemiology 249
  • Neurology 97
  • Internal Medicine 18
  • Radiology, Nuclear Medicine and Imaging 110
Replace Reza Hakimelahi with:
Reza Hakimelahi United States
Sven Dekeyzer Belgium
Pedro Cougo Brazil
C. Giannesini France
Christopher Allen United Kingdom
Giorgio Rubin Israel
Teppei Komatsu Japan
Markus Bertram Germany
George Fotakopoulos Greece
Alejandro Martínez‐Domeño Spain
Chin-I Chen relative to Reza Hakimelahi United States Reza Hakimelahi's profile →
Citations per field
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Reza Hakimelahi · 1×
Citations per year

Countries citing papers authored by Chin-I Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chin-I Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin-I 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 Chin-I Chen. The network helps show where Chin-I Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Chin-I 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 Chin-I Chen Line = papers co-authored together Chin-I Chen links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2010147
2 2004107
3 201568
4 200548
5 201438
6 200632
7 201726
8 201826
9 201118
10 201016
11 201813
12 201611
13 20129
14 20127
15 20132
16
CHA2DS2-VASc Score and Heart Rate Predict Ischemic Stroke Outcomes in Patients withAtrial Fibrillation.
20141

About Chin-I Chen

Chin-I Chen is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Infectious Diseases, Rehabilitation and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 569 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (5 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Ovarian function and disorders (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Stroke Rehabilitation and Recovery (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Cardiovascular Health and Disease Prevention (1 paper) and Hormonal and reproductive studies (1 paper). The work is most often cited by research in Developmental Neuroscience (40 citations), Epidemiology (249 citations), Neurology (97 citations), Internal Medicine (18 citations) and Radiology, Nuclear Medicine and Imaging (110 citations). Chin-I Chen has collaborated with scholars based in Taiwan, United States and Hungary. Frequent co-authors include Zsolt Garami, Andrei V. Alexandrov, Yasuyuki Iguchi, Sheng-Kwei Song, James C. Grotta, Hashem Shaltoni, Matthew D. Budde, Dennis P. McDaniel, Anne H. Cross and Jennifer E. Tobin. Their work appears in journals such as PeerJ, Cerebrovascular Diseases, Disability and Rehabilitation, Vaccine and Stroke.

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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