Matthew Lyon
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
Papers in
-
- Kruppel-like factors research 1
- Genetics 5
- Genomics and Rare Diseases 3
- Genetic Associations and Epidemiology 2
- Myeloproliferative Neoplasms: Diagnosis and Treatment 1
- Co-authors
- Tom R. Gaunt (7 shared papers)Eleanor G. Seaby (2 shared papers)David J. Bunyan (2 shared papers)Gibran Hemani (5 shared papers)Benjamin Elsworth (2 shared papers)Reuben J. Pengelly (1 shared paper)Christine Gast (1 shared paper)Gopalakrishnan Venkat‐Raman (1 shared paper)
- Journals
- Journal of Thoracic and Cardiovascular Surgery (1 paper)Bioinformatics (1 paper)Leukemia Research (1 paper)Genetics in Medicine (1 paper)Genome biology (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Matthew Lyon
13 papers receiving 563 citations
Peers
Comparison fields: 5 of 92
- Health Informatics 37
- Nephrology 124
- Immunology and Allergy 74
- Genetics 79
- Hematology 75
Countries citing papers authored by Matthew Lyon
This map shows the geographic impact of Matthew Lyon'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 Lyon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Lyon more than expected).
Fields of papers citing papers by Matthew Lyon
This network shows the impact of papers produced by Matthew Lyon. 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 Lyon. The network helps show where Matthew Lyon may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Lyon, 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 | 2015 | 165 | |
| 2 | 2021 | 118 | |
| 3 | 2020 | 103 | |
| 4 | 2020 | 65 | |
| 5 | 2014 | 46 | |
| 6 | 2020 | 28 | |
| 7 | 2020 | 21 | |
| 8 | 2011 | 9 | |
| 9 | 2021 | 8 | |
| 10 | 2021 | 1 | |
| 11 | 2019 | 1 | |
| 12 | 1975 | 1 | |
| 13 | 2020 | 1 | |
| 14 | 1975 | 0 |
About Matthew Lyon
Matthew Lyon is a scholar working on Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine, Health Informatics and Artificial Intelligence, having authored 14 papers that have together received 567 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (3 papers), Genetic Associations and Epidemiology (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Machine Learning in Healthcare (2 papers), Cancer Genomics and Diagnostics (1 paper), Statistical Methods and Bayesian Inference (1 paper), Kruppel-like factors research (1 paper) and Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper). The work is most often cited by research in Health Informatics (37 citations), Nephrology (124 citations), Immunology and Allergy (74 citations), Genetics (79 citations) and Hematology (75 citations). Matthew Lyon has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Tom R. Gaunt, Eleanor G. Seaby, David J. Bunyan, Gibran Hemani, Benjamin Elsworth, Reuben J. Pengelly, Christine Gast, Gopalakrishnan Venkat‐Raman, Sarah Ennis and Nikki Graham. Their work appears in journals such as Journal of Thoracic and Cardiovascular Surgery, Bioinformatics, Leukemia Research, Genetics in Medicine and Genome biology.
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.