Chen Lin

1.2k citations
56 papers · 800 · h-index 11

Impact in

    • Stroke Rehabilitation and Recovery
  • Neurology top 10%
    • Intracerebral and Subarachnoid Hemorrhage Research
    • Traumatic Brain Injury and Neurovascular Disturbances

Papers in

Chen Lin

50 papers receiving 782 citations

Peers

Chen Lin
Comparison fields: 5 of 89
  • Rehabilitation 173
  • Neurology 121
  • Epidemiology 185
  • Internal Medicine 14
  • Infectious Diseases 72
Replace JoonNyung Heo with:
JoonNyung Heo South Korea
José F. Varona Spain
Sarah Baraniuk United States
Maria Khan Pakistan
Hyungjong Park South Korea
Hebun Erdur Germany
Ritvij Bowry United States
Łukasz Szumowski Poland
J. Scott Pannell United States
René Handschu Germany
Chen Lin relative to JoonNyung Heo South Korea JoonNyung Heo's profile →
Citations per field
00.5×5×10×12.5×
JoonNyung Heo · 1×
Citations per year

Countries citing papers authored by Chen Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011238
2 2010156
3 2020109
4 201426
5 201720
6 202019
7 202018
8 201815
9 201813
10 202411
11 202011
12 201910
13 20199
14 20219
15 20239
16 20218
17 20218
18 20218
19 20147
20 20207

About Chen Lin

Chen Lin is a scholar working on Rehabilitation, Epidemiology, Neurology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 56 papers that have together received 800 indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (14 papers), Acute Ischemic Stroke Management (9 papers), Multilevel Inverters and Converters (3 papers), Complement system in diseases (3 papers), Nerve Injury and Rehabilitation (3 papers), Long-Term Effects of COVID-19 (3 papers), Orthopedic Surgery and Rehabilitation (2 papers) and Venous Thromboembolism Diagnosis and Management (2 papers). The work is most often cited by research in Rehabilitation (173 citations), Neurology (121 citations), Epidemiology (185 citations), Internal Medicine (14 citations) and Infectious Diseases (72 citations). Chen Lin has collaborated with scholars based in United States, China and Philippines. Frequent co-authors include Askiel Bruno, Vanessa Baute, David C. Hess, Brian Close, Kristin Davis, Fenwick T. Nichols, Jeffrey A. Switzer, Abiodun Akinwuntan, Neel Shah and Xiaogang Li. Their work appears in journals such as Stroke, Neurology, Medicine, PM&R and Journal of Stroke and Cerebrovascular Diseases.

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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