Keith Sequeira

1.7k citations
44 papers · 1.3k · h-index 18

Impact in

Papers in

Keith Sequeira

41 papers receiving 1.2k citations

Peers

Keith Sequeira
Comparison fields: 5 of 80
  • Pharmacology 283
  • Pathology and Forensic Medicine 311
  • Urology 110
  • Neurology 197
  • Rehabilitation 74
Replace Fatma Nur Kesiktaş with:
Fatma Nur Kesiktaş Türkiye
Belgin Erhan Türkiye
Patrick M. Foye United States
Murat Ersöz Türkiye
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Shoji Yabuki Japan
Gholam Reza Raissi Iran
KEN YONG-HING Canada
Sumru Özel Türkiye
Tansu Arasıl Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by Keith Sequeira

Since Specialization
Citations

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

Fields of papers citing papers by Keith Sequeira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002165
2 2020139
3 2010109
4 201498
5 201297
6 201074
7 201069
8 201255
9 201054
10 201049
11 201334
12 201529
13 201025
14 201023
15 200222
16 200521
17 201420
18 200518
19 200417
20 201615

About Keith Sequeira

Keith Sequeira is a scholar working on Pharmacology, Pathology and Forensic Medicine, Neurology, Epidemiology and Applied Psychology, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (15 papers), Traumatic Brain Injury Research (9 papers), Spine and Intervertebral Disc Pathology (5 papers), Botulinum Toxin and Related Neurological Disorders (4 papers), Spinal Cord Injury Research (3 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers), Migraine and Headache Studies (2 papers) and Urinary Bladder and Prostate Research (2 papers). The work is most often cited by research in Pharmacology (283 citations), Pathology and Forensic Medicine (311 citations), Urology (110 citations), Neurology (197 citations) and Rehabilitation (74 citations). Keith Sequeira has collaborated with scholars based in Canada, Spain and United States. Frequent co-authors include Robert William Teasell, Katherine L. Salter, Norine C. Foley, Patrick J. Potter, J. Andrew McClure, Matthew J. Meyer, Jason Pretty, David Mark Walton, Keith C. Hayes and Mark R. Speechley. Their work appears in journals such as Pain Research and Management, Archives of Physical Medicine and Rehabilitation, Neurorehabilitation, Journal of Neurotrauma and Topics in Spinal Cord Injury Rehabilitation.

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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