L. Tai

2.2k citations
5 papers · 871 · 1 hit paper · h-index 4

Impact in

  • Neurology top 1%
    • Intracerebral and Subarachnoid Hemorrhage Research
    • Neurosurgical Procedures and Complications
    • Traumatic Brain Injury and Neurovascular Disturbances
    • Intracranial Aneurysms: Treatment and Complications
  • Epidemiology top 10%
    • Acute Ischemic Stroke Management

Papers in

    • Intracerebral and Subarachnoid Hemorrhage Research 4
    • Neurosurgical Procedures and Complications 1
    • Traumatic Brain Injury and Neurovascular Disturbances 1

L. Tai

4 papers receiving 849 citations

L. Tai's Hit Papers

Intensive blood pressure reduction in acute cerebral haemorrhage trial (INTERACT): a randomised pilot trial 2008 · 513 citations
5130+6+12Years since publication100200300400500

Peers

L. Tai
Comparison fields: 5 of 42
  • Neurology 725
  • Epidemiology 360
  • Internal Medicine 13
  • Cardiology and Cardiovascular Medicine 57
  • Rehabilitation 11
Replace Christian Skulina with:
Christian Skulina Australia
Qingyun Tao China
Fumio Miyashita Japan
Karine Blanc‐Lasserre France
Martina Goeldlin Switzerland
Mona Laible Germany
Koen M. van Nieuwenhuizen Netherlands
Markus Beitzke Austria
Else Charlotte Sandset United Kingdom
Johan Rådberg Sweden
L. Tai relative to Christian Skulina Australia Christian Skulina's profile →
Citations per field
00.5×1.5×
Christian Skulina · 1×
Citations per year

Countries citing papers authored by L. Tai

Since Specialization
Citations

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

Fields of papers citing papers by L. Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1
Intensive blood pressure reduction in acute cerebral haemorrhage trial (INTERACT): a randomised pilot trial
Hit paper breakdown →
2008513
2 2010172
3 2009133
4 201053
5 20250

About L. Tai

L. Tai is a scholar working on Neurology, Infectious Diseases, Organic Chemistry, Surgery and Communication, having authored 5 papers that have together received 871 indexed citations. Recurring topics across this work include Intracerebral and Subarachnoid Hemorrhage Research (4 papers), Neurosurgical Procedures and Complications (1 paper) and Traumatic Brain Injury and Neurovascular Disturbances (1 paper). The work is most often cited by research in Neurology (725 citations), Epidemiology (360 citations), Internal Medicine (13 citations), Cardiology and Cardiovascular Medicine (57 citations) and Rehabilitation (11 citations). L. Tai has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Bin Peng, Qingyun Tao, Christian Skulina, Mark Parsons, John Chalmers, En Xu, Jian Jiang, Emma Heeley, Lewis B. Morgenstern and Hisatomi Arima. Their work appears in journals such as Stroke, Hypertension, Neurology, The Lancet Neurology and Chinese Science Bulletin (Chinese Version).

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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