Ding-lai Lin

19 papers receiving 610 citations

Ding-lai Lin's Hit Papers

Extending thrombolysis to 4·5–9 h and wake-up stroke using perfusion imaging: a systematic review and meta-analysis of individual patient data 2019 · 384 citations
3840+2+4Years since publication100200300

Peers

Ding-lai Lin
Comparison fields: 5 of 50
  • Internal Medicine 69
  • Rehabilitation 101
  • Epidemiology 495
  • Neurology 57
  • Neurology 97
Replace Liang-Wei Tseng with:
Liang-Wei Tseng Taiwan
Chun Tseng Taiwan
Hsu-Ling Yeh Taiwan
Chi‐Ju Lu Taiwan
Xavier Nuñez Germany
Roy Drew Australia
Hansheng Shu China
Wentong Ling China
Marie Louise Schmitz Denmark
Gernot Reimann Germany
Ding-lai Lin relative to Liang-Wei Tseng Taiwan Liang-Wei Tseng's profile →
Citations per field
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Liang-Wei Tseng · 1×
Citations per year

Countries citing papers authored by Ding-lai Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ding-lai Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Extending thrombolysis to 4·5–9 h and wake-up stroke using perfusion imaging: a systematic review and meta-analysis of individual patient data
Hit paper breakdown →
2019384
2 2020126
3 201834
4 202213
5 202012
6 20188
7 20198
8 20187
9 20257
10 20227
11 20226
12 20186
13 20226
14 20252
15 20232
16 20231
17 20221
18 20251
19 20191
20 20250

About Ding-lai Lin

Ding-lai Lin is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Rheumatology, Insect Science and Renewable Energy, Sustainability and the Environment, having authored 26 papers that have together received 632 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (19 papers), Cerebrovascular and Carotid Artery Diseases (2 papers) and Moyamoya disease diagnosis and treatment (1 paper). The work is most often cited by research in Internal Medicine (69 citations), Rehabilitation (101 citations), Epidemiology (495 citations), Neurology (57 citations) and Neurology (97 citations). Ding-lai Lin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yanmin Wu, Tingyu Yi, Xiaohui Lin, Wenhuo Chen, Meifang Zhang, Yimin Li, Pengfei Xing, Pengfei Yang, Yanyu Lü and Yongwei Zhang. Their work appears in journals such as Frontiers in Neurology, Journal of NeuroInterventional Surgery, World Neurosurgery, Journal of the Neurological Sciences and Stroke and Vascular 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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