Peter Slasor

4.1k citations
29 papers · 3.1k indexed · 3 hit papers · h-index 14

Peter Slasor

29 papers receiving 3.0k citations

Hit Papers

Study of Intraventricu...31019972026200620162505007501000

Peers

Peter Slasor
Comparison fields: 5 of 170
  • Pathology and Forensic Medicine 1.0k
  • Rheumatology 654
  • Neurology 645
  • Physiology 806
  • Psychiatry and Mental health 263
Replace Jeremy Chataway with:
Jeremy Chataway United Kingdom
Ian N.M. Day United Kingdom
Hashem A. Shihab United Kingdom
Helmut Butzkueven Australia
Cecilia M. Lindgren United Kingdom
Graziella Filippini Italy
Ellen M. Mowry United States
Niall Tubridy Ireland
Adrián Cortés United Kingdom
Stephen Leslie United States
Peter Slasor relative to Jeremy Chataway United Kingdom Jeremy Chataway's profile →
Citations per field
00.5×2.6×
Jeremy Chataway · 1×
Citations per year

Countries citing papers authored by Peter Slasor

Since Specialization
Citations

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

Fields of papers citing papers by Peter Slasor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 202315
4 20201
5 20207
6 20196
7 20196
8 201825
9 201889
10 20172
11 20172
12 201626
13 201650
14 201431
15 2013110
16 200350
17 20038
18 199720
19 19977
20
Using the general linear mixed model to analyse unbalanced repeated measures and longitudinal databreakdown →
19971017

About Peter Slasor

Peter Slasor is a scholar working on Rheumatology, Physiology, Physiology, Metals and Alloys and Statistics and Probability, having authored 29 papers that have together received 3.1k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (20 papers), Glycogen Storage Diseases and Myoclonus (14 papers), Trypanosoma species research and implications (8 papers), Biochemical and Molecular Research (4 papers), Cellular transport and secretion (4 papers), Statistical Methods and Bayesian Inference (2 papers), Statistical Methods and Inference (2 papers) and Calcium signaling and nucleotide metabolism (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.0k citations), Rheumatology (654 citations), Neurology (645 citations), Physiology (806 citations) and Psychiatry and Mental health (263 citations). Peter Slasor has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Nan M. Laird, Avital Cnaan, Lawrence Jacobs, R. Phillip Kinkel, T. J. Murray, Alfred Sandrock, Nancy A. Simonian, Carol M. Brownscheidle, Jack H. Simon and Roy W. Beck. Their work appears in journals such as Molecular Genetics and Metabolism, New England Journal of Medicine, Statistics in Medicine, Journal of Inherited Metabolic Disease and Clinical and Translational Science.

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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