Ashley Bonner

37 papers receiving 1.4k citations

Ashley Bonner's Hit Papers

Advances in the GRADE approach to rate the certainty in estimates from a network meta-analysis 2017 · 517 citations
5170+3+6Years since publication100200300400500

Peers

Ashley Bonner
Comparison fields: 5 of 119
  • Statistics, Probability and Uncertainty 106
  • Pathology and Forensic Medicine 230
  • Rheumatology 172
  • Pulmonary and Respiratory Medicine 280
  • Critical Care and Intensive Care Medicine 41
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John Miller United States
Nigel Armstrong United Kingdom
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Countries citing papers authored by Ashley Bonner

Since Specialization
Citations

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

Fields of papers citing papers by Ashley Bonner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Advances in the GRADE approach to rate the certainty in estimates from a network meta-analysis
Hit paper breakdown →
2017517
2 2014269
3 201285
4 201663
5 201445
6 201245
7 201339
8 201236
9 202135
10 201034
11 201226
12 201322
13 202218
14 201717
15
Best practices in scleroderma: an analysis of practice variability in SSc centres within the Canadian Scleroderma Research Group (CSRG).
201216
16 201715
17 201815
18
Effects of income and dental insurance coverage on need for dental care in Canada.
201415
19 201514
20 201311

About Ashley Bonner

Ashley Bonner is a scholar working on Pathology and Forensic Medicine, Oncology, Rheumatology, Molecular Biology and Hematology, having authored 38 papers that have together received 1.4k indexed citations. Recurring topics across this work include CAR-T cell therapy research (7 papers), Systemic Sclerosis and Related Diseases (6 papers), Rheumatoid Arthritis Research and Therapies (5 papers), Lymphoma Diagnosis and Treatment (4 papers), Meta-analysis and systematic reviews (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Statistical Methods in Clinical Trials (3 papers) and Systemic Lupus Erythematosus Research (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (106 citations), Pathology and Forensic Medicine (230 citations), Rheumatology (172 citations), Pulmonary and Respiratory Medicine (280 citations) and Critical Care and Intensive Care Medicine (41 citations). Ashley Bonner has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Joseph Beyene, Janet Pope, Taddele Kibret, Binod Neupane, Gordon Guyatt, Paul Alexander, Glen Hazlewood, Holger J. Schünemann, Reed Siemieniuk and Romina Brignardello‐Petersen. Their work appears in journals such as Blood, The Journal of Rheumatology, Journal of Clinical Epidemiology, PLoS ONE and Seminars in Arthritis and Rheumatism.

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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