G. Armstrong

896 citations
25 papers · 691 indexed · h-index 12
Topics
Rheumatoid Arthritis Research and Therapies (5 papers)Chronic Lymphocytic Leukemia Research (3 papers)Neurogenetic and Muscular Disorders Research (3 papers)

In The Last Decade

G. Armstrong

23 papers receiving 669 citations

Peers

G. Armstrong
Comparison fields: 5 of 88
  • Rheumatology 356
  • Genetics 161
  • Hematology 142
  • Pathology and Forensic Medicine 127
  • Immunology 127
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David Walker United Kingdom
Sonja Merkesdal Germany
A. J. Peeters Netherlands
K.W. Drossaers-Bakker Netherlands
Catharina E. Jacobi Netherlands
Johanna Callhoff Germany
Hao Tian China
Neil Betteridge United Kingdom
Virginia Pascual‐Ramos Mexico
Y Schenk Netherlands
G. Armstrong relative to David Walker United Kingdom David Walker's profile →
Citations per field
00.5×2.8×
David Walker · 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-authorship network of co-authors of G. Armstrong

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 0
4 14
5 139
6 43
7 253
8 1
9 37
10 15
11 1
12 17
13 15
14 30
15 8
16
Myocardial doppler velocity responses to exercise correlate with independent evidence of ischemia by dual isotope SPECT
4
17 56
18 16
19 1
20 16

About G. Armstrong

G. Armstrong is a scholar working on Genetics, Geriatrics and Gerontology and Statistics, Probability and Uncertainty, having authored 25 papers that have together received 691 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (5 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Neurogenetic and Muscular Disorders Research (3 papers). The work is most often cited by research in Rheumatology (356 citations), Genetics (161 citations) and Hematology (142 citations). G. Armstrong has collaborated with scholars based in United Kingdom, Switzerland and Italy. Frequent co-authors include Kàren Morgan, William F. C. Rigby, P. Emery, Atul Deodhar, John D. Isaacs, Kevin Latinis, Artur Racewicz, Carlos Abud‐Mendoza, Helen E.J. Tyrrell and Bernard Combe. Their work appears in journals such as Journal of the American College of Cardiology, Spine and Annals of the Rheumatic Diseases.

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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