G. McGregor

16.9k citations
83 papers · 1.4k · h-index 21

Impact in

Papers in

G. McGregor

75 papers receiving 1.4k citations

Peers

G. McGregor
Comparison fields: 5 of 156
  • Nephrology 125
  • Complementary and alternative medicine 126
  • Cardiology and Cardiovascular Medicine 319
  • Nuclear and High Energy Physics 171
  • Rehabilitation 40
Replace Marcin Grabowski with:
Marcin Grabowski Poland
Maurizio Pandolfi Sweden
Gaj Vidmar Slovenia
Antonella Meloni Italy
Bharath Ambale‐Venkatesh United States
Hamed Asadi Australia
Majid Maleki Iran
David Hill United States
Ying Zhang China
Anuradha Roy United States
G. McGregor relative to Marcin Grabowski Poland Marcin Grabowski's profile →
Citations per field
00.5×9.7×
Marcin Grabowski · 1×
Citations per year

Countries citing papers authored by G. McGregor

Since Specialization
Citations

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

Fields of papers citing papers by G. McGregor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005280
2 201882
3 200679
4 200578
5 200552
6 202139
7 202034
8 202034
9 201534
10
Boosted Decision Trees, an Alternative to Artificial Neural Networks
200430
11 201829
12 201829
13 201627
14 202027
15 201925
16 201725
17 200723
18 202023
19 202120
20 202120

About G. McGregor

G. McGregor is a scholar working on Cardiology and Cardiovascular Medicine, Complementary and alternative medicine, Surgery, Pulmonary and Respiratory Medicine and Nephrology, having authored 83 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiovascular and exercise physiology (19 papers), Cardiac Health and Mental Health (9 papers), Dialysis and Renal Disease Management (8 papers), Peripheral Artery Disease Management (7 papers), Heart Rate Variability and Autonomic Control (6 papers), Long-Term Effects of COVID-19 (6 papers), Hemodynamic Monitoring and Therapy (5 papers) and Cardiovascular Effects of Exercise (5 papers). The work is most often cited by research in Nephrology (125 citations), Complementary and alternative medicine (126 citations), Cardiology and Cardiovascular Medicine (319 citations), Nuclear and High Energy Physics (171 citations) and Rehabilitation (40 citations). G. McGregor has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include I. Stancu, Byron P. Roe, Ji Zhu, Yong Liu, Richard Powell, Peter Kimani, Martin Underwood, Stuart Ennis, Simon Nichols and Paula L. Hyland. Their work appears in journals such as BMJ Open, ESC Heart Failure, PLoS ONE, International Journal of Environmental Research and Public Health and BMJ Open Sport & Exercise Medicine.

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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