Matthew Greenway

1.2k citations
14 papers · 833 indexed · 1 hit paper · h-index 9
Topics
Amyotrophic Lateral Sclerosis Research (5 papers)Patient Satisfaction in Healthcare (4 papers)Cancer-related gene regulation (4 papers)

In The Last Decade

Matthew Greenway

14 papers receiving 822 citations

Hit Papers

ANG mutations segregate with familial and 'sporadic' amyo...20062026201220192006100200300400500

Peers

Matthew Greenway
Comparison fields: 5 of 81
  • Neurology 477
  • Molecular Biology 373
  • Genetics 287
  • Neurology 144
  • Cellular and Molecular Neuroscience 98
Replace Alexander G. Thompson with:
Alexander G. Thompson United Kingdom
Kei Fukada Japan
Megan A. O’Neill Canada
Johannes Dorst Germany
Eustachio D’Errico Italy
M. J. Greenway Ireland
Katy Mahoney United States
Véronique Danel-Brunaud France
Sarah Opie-Martin United Kingdom
Paola Origone Italy
Matthew Greenway relative to Alexander G. Thompson United Kingdom Alexander G. Thompson's profile →
Citations per field
00.5×1.5×
Alexander G. Thompson · 1×
Citations per year

Countries citing papers authored by Matthew Greenway

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Greenway

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Greenway

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Greenway. A scholar is included among the top collaborators of Matthew Greenway 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 Greenway. Matthew Greenway is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 21
2 5
3 14
4 8
5 7
6
The effect of clinical teaching on patient satisfaction in rural and community settings.
4
7 33
8 7
9 14
10 145
11 3
12 28
13 26
14
ANG mutations segregate with familial and 'sporadic' amyotrophic lateral sclerosisbreakdown →
518

About Matthew Greenway

Matthew Greenway is a scholar working on Neurology, Family Practice and Organizational Behavior and Human Resource Management, having authored 14 papers that have together received 833 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (5 papers), Patient Satisfaction in Healthcare (4 papers) and Cancer-related gene regulation (4 papers). The work is most often cited by research in Neurology (477 citations), Genetics (287 citations) and Neurology (144 citations). Matthew Greenway has collaborated with scholars based in Canada, Ireland and United States. Frequent co-authors include Orla Hardiman, Jochen H.M. Prehn, Dairín Kieran, Sean Ennis, Robert H. Brown, Carsten Russ, Peter M. Andersen, K. Ravi Acharya, Colette Donaghy and Andrew Green. Their work appears in journals such as Nature Genetics, Journal of Neuroscience and PLoS ONE.

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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