Bernard P.L. Chan

60 papers receiving 1.3k citations

Peers

Bernard P.L. Chan
Comparison fields: 5 of 97
  • Internal Medicine 239
  • Rehabilitation 224
  • Neurology 417
  • Epidemiology 731
  • Neurology 132
Replace Xia Meng with:
Xia Meng China
Huaguang Zheng China
Alexander Dyker United Kingdom
Elena Meseguer France
A. Dávalos Spain
Janet L. Wilterdink United States
Jaap Kappelle Netherlands
Jordi A. Matías‐Guiu Spain
Xingquan Zhao China
Francesca Papa Italy
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Citations per field
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Citations per year

Countries citing papers authored by Bernard P.L. Chan

Since Specialization
Citations

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

Fields of papers citing papers by Bernard P.L. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bernard P.L. Chan. 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 Bernard P.L. Chan. The network helps show where Bernard P.L. Chan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201485
2 201284
3 200983
4 201169
5 201665
6 200357
7 201552
8 200251
9 201045
10 201043
11 200743
12 201140
13 201039
14 201037
15 200835
16 202030
17 202030
18 199827
19 202126
20 202024

About Bernard P.L. Chan

Bernard P.L. Chan is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Neurology, Cardiology and Cardiovascular Medicine and Rehabilitation, having authored 66 papers that have together received 1.3k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (40 papers), Cerebrovascular and Carotid Artery Diseases (27 papers), Stroke Rehabilitation and Recovery (14 papers), Venous Thromboembolism Diagnosis and Management (14 papers), Traumatic Brain Injury and Neurovascular Disturbances (8 papers), Intracranial Aneurysms: Treatment and Complications (8 papers), Atrial Fibrillation Management and Outcomes (7 papers) and Cerebral Venous Sinus Thrombosis (5 papers). The work is most often cited by research in Internal Medicine (239 citations), Rehabilitation (224 citations), Neurology (417 citations), Epidemiology (731 citations) and Neurology (132 citations). Bernard P.L. Chan has collaborated with scholars based in Singapore, United Kingdom and United States. Frequent co-authors include Vijay K. Sharma, Hock Luen Teoh, Narayanaswamy Venketasubramanian, Leonard L.L. Yeo, Raymond C.S. Seet, Benjamin Ong, Prakash Paliwal, Rahul Rathakrishnan, Benjamin Yong‐Qiang Tan and Christopher Chen. Their work appears in journals such as Stroke, Journal of Stroke and Cerebrovascular Diseases, Cerebrovascular Diseases, Journal of Thrombosis and Thrombolysis and Journal of Neuroimaging.

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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