Matthew Sacheli

617 total citations
8 papers, 429 citations indexed

About

Matthew Sacheli is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Matthew Sacheli has authored 8 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Neurology. Recurrent topics in Matthew Sacheli's work include Parkinson's Disease Mechanisms and Treatments (6 papers), Neurological disorders and treatments (4 papers) and Sports Performance and Training (2 papers). Matthew Sacheli is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (6 papers), Neurological disorders and treatments (4 papers) and Sports Performance and Training (2 papers). Matthew Sacheli collaborates with scholars based in Canada, China and United States. Matthew Sacheli's co-authors include A. Jon Stoessl, Danielle Murray, Janice J. Eng, Ollie Jay, Anthony R. Bain, Matthew N. Cramer, Vesna Sossi, Nicole Neilson, Elham Shahinfard and Nasim Vafai and has published in prestigious journals such as PLoS ONE, The FASEB Journal and Movement Disorders.

In The Last Decade

Matthew Sacheli

8 papers receiving 425 citations

Peers

Matthew Sacheli
Comparison fields: 5 of 67
  • Neurology 199
  • Physiology 147
  • Rehabilitation 83
  • Psychiatry and Mental health 82
  • Physical Therapy, Sports Therapy and Rehabilitation 70
Replace Tae-Won Jun with:
Tae-Won Jun South Korea
Isabella Hoi Kei Leung Australia
Elizabeth Kuhn France
Ulrike Suenkel Germany
Ken‐ichi Tabei Japan
Milica Ječmenica‐Lukić Serbia
Jae Woo Chung United States
Corneliu Luca United States
Hiroo Terashi Japan
Mizuki Sudo Japan
Tae-Won Jun South Korea View profile →
Citations per field, relative to Matthew Sacheli
Matthew Sacheli · 1×
Citations per year, relative to Matthew Sacheli
Matthew Sacheli · 1×

Countries citing papers authored by Matthew Sacheli

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Sacheli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Sacheli

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Sacheli. A scholar is included among the top collaborators of Matthew Sacheli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew Sacheli. Matthew Sacheli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
# Work Indexed citations
1 1
2 126
3 12
4 17
5 39
6 121
7 1
8 112

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026