Matthew MacPherson
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
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- Immune Response and Inflammation
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
-
- COVID-19 diagnosis using AI 3
- Autopsy Techniques and Outcomes 1
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- Cell Adhesion Molecules Research 3
- Co-authors
- Susanna C. Fagerholm (3 shared papers)Alan R. Prescott (2 shared papers)Chak Sing Lau (1 shared paper)Martyn James (1 shared paper)Vicky L. Morrison (1 shared paper)Terhi Savinko (1 shared paper)Zongsheng Wang (1 shared paper)Mingyao Yang (1 shared paper)
- Journals
- Radiology Artificial Intelligence (1 paper)Blood (1 paper)The Lancet Digital Health (1 paper)Assistive Technology (1 paper)Genetics (1 paper)
- Partner nations
- United KingdomFinlandUnited States
In The Last Decade
Matthew MacPherson
10 papers receiving 286 citations
Peers
Comparison fields: 5 of 64
- Immunology and Allergy 85
- Immunology 114
- Aging 7
- Rheumatology 39
- Health Informatics 3
Countries citing papers authored by Matthew MacPherson
This map shows the geographic impact of Matthew MacPherson'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 Matthew MacPherson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew MacPherson more than expected).
Fields of papers citing papers by Matthew MacPherson
This network shows the impact of papers produced by Matthew MacPherson. 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 Matthew MacPherson. The network helps show where Matthew MacPherson may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew MacPherson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 71 | |
| 2 | 2013 | 56 | |
| 3 | 2013 | 52 | |
| 4 | 2012 | 46 | |
| 5 | 2000 | 39 | |
| 6 | 2023 | 14 | |
| 7 | 2022 | 8 | |
| 8 | 2023 | 5 | |
| 9 | 2022 | 2 | |
| 10 | 2016 | 1 |
About Matthew MacPherson
Matthew MacPherson is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Allergy, Immunology, Molecular Biology and Occupational Therapy, having authored 10 papers that have together received 294 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (3 papers), COVID-19 diagnosis using AI (3 papers), Immunotherapy and Immune Responses (2 papers), Immune Response and Inflammation (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Autopsy Techniques and Outcomes (1 paper), Spinal Cord Injury Research (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Immunology and Allergy (85 citations), Immunology (114 citations), Aging (7 citations), Rheumatology (39 citations) and Health Informatics (3 citations). Matthew MacPherson has collaborated with scholars based in United Kingdom, Finland and United States. Frequent co-authors include Susanna C. Fagerholm, Alan R. Prescott, Chak Sing Lau, Martyn James, Vicky L. Morrison, Terhi Savinko, Zongsheng Wang, Mingyao Yang, Kim Kaiser and Julian A. T. Dow. Their work appears in journals such as Radiology Artificial Intelligence, Blood, The Lancet Digital Health, Assistive Technology and Genetics.
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.