Luke Parkitny

30 papers receiving 1.7k citations

Peers

Luke Parkitny
Comparison fields: 5 of 123
  • Anesthesiology and Pain Medicine 370
  • Pharmacology 536
  • Psychiatry and Mental health 284
  • Physiology 408
  • Neurology 124
Replace Wim E.J. Weber with:
Wim E.J. Weber Netherlands
Alyssa Lebel United States
Andrea Polli Belgium
Joseph F. Audette United States
Roi Treister Israel
Carol Vance United States
Ricardo RG. Galhardoni Brazil
Misha-Miroslav Bačkonja United States
Gunnar B. Wallin Sweden
Winston C. V. Parris United States
Luke Parkitny relative to Wim E.J. Weber Netherlands Wim E.J. Weber's profile →
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Citations per year

Countries citing papers authored by Luke Parkitny

Since Specialization
Citations

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

Fields of papers citing papers by Luke Parkitny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010271
2 2010230
3 2014214
4 2012188
5 2013151
6 201792
7 201378
8 201067
9 201764
10 201557
11 201156
12 201352
13 201943
14 201340
15 201536
16 202326
17 201325
18 202211
19 202110
20 20109

About Luke Parkitny

Luke Parkitny is a scholar working on Anesthesiology and Pain Medicine, Psychiatry and Mental health, Pharmacology, Developmental Neuroscience and Physiology, having authored 30 papers that have together received 1.8k indexed citations. Recurring topics across this work include Fibromyalgia and Chronic Fatigue Syndrome Research (8 papers), Pain Management and Treatment (6 papers), Musculoskeletal pain and rehabilitation (6 papers), Pain Mechanisms and Treatments (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Orthopedic Surgery and Rehabilitation (2 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Transcranial Magnetic Stimulation Studies (2 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (370 citations), Pharmacology (536 citations), Psychiatry and Mental health (284 citations), Physiology (408 citations) and Neurology (124 citations). Luke Parkitny has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include James Henry McAuley, G. Lorimer Moseley, Flavia Di Pietro, Benedict Martin Wand, Jarred Younger, David McLain, Jarred Younger, Neil Edward O'Connell, Tasha Stanton and Michael A. Thacker. Their work appears in journals such as Journal of Pain, Physical Therapy, Neurology, Journal of Clinical Epidemiology and BMC Immunology.

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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