Christopher McMaster

458 total citations
17 papers, 259 citations indexed

About

Christopher McMaster is a scholar working on Rheumatology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Christopher McMaster has authored 17 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Rheumatology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Immunology. Recurrent topics in Christopher McMaster's work include Vasculitis and related conditions (4 papers), Rheumatoid Arthritis Research and Therapies (4 papers) and Pharmacovigilance and Adverse Drug Reactions (3 papers). Christopher McMaster is often cited by papers focused on Vasculitis and related conditions (4 papers), Rheumatoid Arthritis Research and Therapies (4 papers) and Pharmacovigilance and Adverse Drug Reactions (3 papers). Christopher McMaster collaborates with scholars based in Australia, United States and Denmark. Christopher McMaster's co-authors include David Liew, Philip C. Robinson, Tue Wenzel Kragstrup, Russell Buchanan, Claire Owen, Albert G. Frauman, Bente Glintborg, Bent Deleuran, Wendy W. Chapman and Douglas E. V. Pires and has published in prestigious journals such as Annals of the Rheumatic Diseases, Lara D. Veeken and Canadian Medical Association Journal.

In The Last Decade

Christopher McMaster

17 papers receiving 250 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Christopher McMaster Australia 9 107 48 40 31 31 17 259
David L. Hyslop United States 7 196 1.8× 15 0.3× 63 1.6× 54 1.7× 9 0.3× 14 394
Zoi Spanou Switzerland 4 90 0.8× 32 0.7× 5 0.1× 107 3.5× 19 0.6× 6 377
Alina Onofrei United States 5 242 2.3× 9 0.2× 52 1.3× 89 2.9× 9 0.3× 9 372
Miriam Molloy United Kingdom 3 304 2.8× 30 0.6× 82 2.0× 54 1.7× 8 0.3× 3 382
Esther Toledano Spain 10 185 1.7× 23 0.5× 14 0.3× 62 2.0× 26 309
Kojiro Hata Japan 9 27 0.3× 62 1.3× 20 0.5× 39 1.3× 2 0.1× 30 347
Minlei Liao United States 8 59 0.6× 31 0.6× 5 0.1× 101 3.3× 2 0.1× 11 310
Gerardo Quintana Colombia 11 212 2.0× 47 1.0× 18 0.5× 85 2.7× 35 352
Ankit Jain India 9 13 0.1× 81 1.7× 15 0.4× 11 0.4× 2 0.1× 71 380
Johnson Joseph United Kingdom 9 53 0.5× 76 1.6× 5 0.1× 12 0.4× 2 0.1× 13 299

Countries citing papers authored by Christopher McMaster

Since Specialization
Citations

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

Fields of papers citing papers by Christopher McMaster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher McMaster

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

All Works

17 of 17 papers shown
1.
Monaco, Lucía, Naohiko Aketa, Alı́cia Granados, et al.. (2024). The complexity of funding rare disease research: an IRDiRC assessment of the landscape. University of Twente Research Information. 3(4). 3 indexed citations
2.
Owen, Claire, Aurora Poon, Bonnia Liu, et al.. (2023). Characterising polymyalgia rheumatica on whole-body 18F-FDG PET/CT: an atlas. Rheumatology Advances in Practice. 8(1). rkae003–rkae003. 9 indexed citations
3.
Kragstrup, Tue Wenzel, Christopher McMaster, Pankti Reid, et al.. (2023). Managing Cardiovascular and Cancer Risk Associated with JAK Inhibitors. Drug Safety. 46(11). 1049–1071. 29 indexed citations
4.
Liew, David, et al.. (2023). Diagnosis of septic arthritis in the acute care setting: the value of routine intra-operative sample culture. Rheumatology Advances in Practice. 7(Supplement_1). i12–i18. 1 indexed citations
5.
Kragstrup, Tue Wenzel, Bente Glintborg, Christopher McMaster, et al.. (2022). Waiting for JAK inhibitor safety data. RMD Open. 8(1). e002236–e002236. 64 indexed citations
6.
Longstaff, Holly, et al.. (2022). Core elements of participant consent documents for Canadian human genomics research and the National Human Genome Library: guidance for policy. Canadian Medical Association Journal. 194(44). E1500–E1508. 5 indexed citations
7.
Oakden‐Rayner, Lauren, Christopher McMaster, Minyan Zeng, et al.. (2022). Artificial intelligence and the future of radiographic scoring in rheumatoid arthritis: a viewpoint. Arthritis Research & Therapy. 24(1). 268–268. 15 indexed citations
8.
McMaster, Christopher, et al.. (2022). Developing a deep learning natural language processing algorithm for automated reporting of adverse drug reactions. Journal of Biomedical Informatics. 137. 104265–104265. 24 indexed citations
9.
McMaster, Christopher, et al.. (2022). Better diagnostic tools needed for biopsy-negative giant cell arteritis. The Lancet Rheumatology. 5(1). e8–e10. 1 indexed citations
10.
McMaster, Christopher, David Liew, Susan Lester, et al.. (2022). COVID-19 vaccine hesitancy in inflammatory arthritis patients: serial surveys from a large longitudinal national Australian cohort. Lara D. Veeken. 62(4). 1460–1466. 3 indexed citations
11.
McMaster, Christopher, David Liew, Russell Buchanan, et al.. (2022). Artificial Intelligence and Deep Learning for Rheumatologists. Arthritis & Rheumatology. 74(12). 1893–1905. 37 indexed citations
12.
Liew, David, et al.. (2022). Better pharmacovigilance through artificial intelligence: What is needed to make this a reality?. Health Policy and Technology. 11(3). 100638–100638. 1 indexed citations
13.
Owen, Claire, Aurora Poon, Christopher McMaster, et al.. (2020). Abnormalities at three musculoskeletal sites on whole-body positron emission tomography/computed tomography can diagnose polymyalgia rheumatica with high sensitivity and specificity. European Journal of Nuclear Medicine and Molecular Imaging. 47(10). 2461–2468. 29 indexed citations
14.
Owen, Claire, et al.. (2020). Neutrophil to lymphocyte ratio predicts glucocorticoid resistance in polymyalgia rheumatica. International Journal of Rheumatic Diseases. 24(1). 56–62. 9 indexed citations
15.
McMaster, Christopher, et al.. (2019). A Machine-Learning Algorithm to Optimise Automated Adverse Drug Reaction Detection from Clinical Coding. Drug Safety. 42(6). 721–725. 27 indexed citations
16.
Liew, David, et al.. (2018). THU0616 Elevated thyroid stimulating hormone as a potential biomarker for rheumatic immune-related adverse events following pd-1 inhibitor therapy. Annals of the Rheumatic Diseases. 77. 506–506. 1 indexed citations
17.
Edington, J., et al.. (1994). Evaluation of a semi‐elemental enteral feed in patients with malabsorption and/or disease‐related malnutrition. Journal of Human Nutrition and Dietetics. 7(6). 417–423. 1 indexed citations

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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