Chin-I Chen

732 citations
17 papers · 593 · h-index 12

Impact in

Papers in

    • Acute Ischemic Stroke Management 5
    • Burn Injury Management and Outcomes 1
    • Stroke Rehabilitation and Recovery 2

Chin-I Chen

17 papers receiving 569 citations

Peers

Chin-I Chen
Comparison fields: 5 of 75
  • Developmental Neuroscience 41
  • Epidemiology 260
  • Neurology 101
  • Internal Medicine 19
  • Rehabilitation 35
Replace Kang-Jin Jeong with:
Kang-Jin Jeong South Korea
Roni Eichel Israel
Branko N. Huisa United States
Pedro Cougo Brazil
Gordon N. Smith United States
Bappaditya Ray United States
Michael K. Tso Canada
Nicholas Dykman Osteraas United States
Per Meden Denmark
Giorgio Rubin Israel
Chin-I Chen relative to Kang-Jin Jeong South Korea Kang-Jin Jeong's profile →
Citations per field
00.5×2×2.8×
Kang-Jin Jeong · 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

17 of 17 papers shown
#Work
1 2010150
2 2004109
3 201570
4 200552
5 201439
6 200633
7 201727
8 201826
9 201118
10 201016
11 201813
12 201612
13 20129
14 20179
15 20127
16 20132
17
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, Rehabilitation, Reproductive Medicine, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 17 papers that have together received 593 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (5 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Stroke Rehabilitation and Recovery (2 papers), Ovarian function and disorders (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Multiple Sclerosis Research Studies (1 paper), Cardiovascular Health and Disease Prevention (1 paper) and Burn Injury Management and Outcomes (1 paper). The work is most often cited by research in Developmental Neuroscience (41 citations), Epidemiology (260 citations), Neurology (101 citations), Internal Medicine (19 citations) and Rehabilitation (35 citations). Chin-I Chen has collaborated with scholars based in Taiwan, United States and Hungary. Frequent co-authors include Andrei V. Alexandrov, Yasuyuki Iguchi, Zsolt Garami, Sheng-Kwei Song, Mingqiang Xie, Dennis P. McDaniel, Anne Haney Cross, Jennifer E. Tobin, James Charles Grotta and Matthew D. Budde. Their work appears in journals such as PeerJ, PLoS ONE, Vaccine, Cerebrovascular Diseases and Journal of Neuropathology & Experimental Neurology.

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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