Stephen J. Read

80 papers receiving 3.4k citations

Peers

Stephen J. Read
Comparison fields: 5 of 87
  • Rehabilitation 291
  • Epidemiology 843
  • Neurology 127
  • Neurology 267
  • Pharmacy 47
Replace Andrew A Wong with:
Andrew A Wong Australia
Leanne K. Casaubon Canada
Octávio Marques Pontes‐Neto Brazil
Ping‐Keung Yip Taiwan
Halvor Næss Norway
Christian Hans Nolte Germany
Joseph S. K. Kwan United Kingdom
Jonathan William Sturm Australia
Kathleen Alwell United States
Wuwei Feng United States
Stephen J. Read relative to Andrew A Wong Australia Andrew A Wong's profile →
Citations per field
00.5×1.5×2×2.4×
Andrew A Wong · 1×
Citations per year

Countries citing papers authored by Stephen J. Read

Since Specialization
Citations

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

Fields of papers citing papers by Stephen J. Read

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen J. Read. 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 Stephen J. Read. The network helps show where Stephen J. Read may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011215
2 2016163
3 2011162
4 2015158
5 2004141
6 2014138
7 2010131
8 2017122
9 1998114
10 2000111
11 2008101
12 200393
13 201493
14 201391
15 201485
16 200382
17 200778
18 200277
19 201276
20 201073

About Stephen J. Read

Stephen J. Read is a scholar working on Epidemiology, Rehabilitation, Neurology, Neurology and Cardiology and Cardiovascular Medicine, having authored 82 papers that have together received 3.5k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (28 papers), Stroke Rehabilitation and Recovery (6 papers), Intracerebral and Subarachnoid Hemorrhage Research (4 papers), Neurobiology of Language and Bilingualism (3 papers), Neurological Complications and Syndromes (3 papers), Health Literacy and Information Accessibility (3 papers), Heart Rate Variability and Autonomic Control (2 papers) and Cerebrovascular and Carotid Artery Diseases (2 papers). The work is most often cited by research in Rehabilitation (291 citations), Epidemiology (843 citations), Neurology (127 citations), Neurology (267 citations) and Pharmacy (47 citations). Stephen J. Read has collaborated with scholars based in Australia, United Kingdom and New Zealand. Frequent co-authors include Robert D. Henderson, Andrew A Wong, John D. O’Sullivan, Linda E. Worrall, Pamela McCombe, Geoffrey Alan Donnan, Tammy Hoffmann, Simon Finnigan, Sally Eames and Chris Plummer. Their work appears in journals such as Stroke, Neurology, Cerebrovascular Diseases, Topics in Stroke Rehabilitation and International Journal of Stroke.

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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