G. Armstrong

899 citations
25 papers · 696 · h-index 12

Impact in

Papers in

G. Armstrong

24 papers receiving 674 citations

Peers

G. Armstrong
Comparison fields: 5 of 83
  • Rheumatology 330
  • Physical Therapy, Sports Therapy and Rehabilitation 43
  • Genetics 73
  • Hematology 72
  • Immunology 91
Replace Sonja Merkesdal with:
Sonja Merkesdal Germany
David Walker United Kingdom
A. J. Peeters Netherlands
K.W. Drossaers-Bakker Netherlands
Philipp Sewerin Germany
Eunwoo Nam South Korea
Edward Yelin United States
Marlies Y. Bongers Netherlands
Neil Betteridge United Kingdom
Auvo Rauhala Finland
G. Armstrong relative to Sonja Merkesdal Germany Sonja Merkesdal's profile →
Citations per field
00.5×9.1×
Sonja Merkesdal · 1×
Citations per year

Countries citing papers authored by G. Armstrong

Since Specialization
Citations

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

Fields of papers citing papers by G. Armstrong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010255
2 2010140
3 199856
4 201043
5 200837
6 200130
7 200217
8 200416
9 199816
10 199716
11 200115
12 201414
13 201710
14 20008
15 19978
16
Myocardial doppler velocity responses to exercise correlate with independent evidence of ischemia by dual isotope SPECT
19994
17 20023
18 20042
19 20031
20 20101

About G. Armstrong

G. Armstrong is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Rheumatology, Genetics and General Health Professions, having authored 25 papers that have together received 696 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (4 papers), Cardiac Health and Mental Health (3 papers), Neurogenetic and Muscular Disorders Research (3 papers), Cancer-related gene regulation (2 papers), Health Sciences Research and Education (2 papers), Cardiovascular Function and Risk Factors (2 papers), Meta-analysis and systematic reviews (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Rheumatology (330 citations), Physical Therapy, Sports Therapy and Rehabilitation (43 citations), Genetics (73 citations), Hematology (72 citations) and Immunology (91 citations). G. Armstrong has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Kàren Morgan, William F. C. Rigby, Kevin Latinis, John D. Isaacs, Artur Racewicz, Carlos Abud‐Mendoza, Wendy Douglass, Bernard Combe, P. Emery and Atul Deodhar. Their work appears in journals such as Neuromuscular Disorders, Lara D. Veeken, Age and Ageing, Statistics in Medicine and Physiotherapy.

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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