Alex Upton
Impact in
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- Biosimilars and Bioanalytical Methods
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- Inflammatory Bowel Disease
Papers in
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- Bioinformatics and Genomic Networks 4
- Gene expression and cancer classification 3
- Gene Regulatory Network Analysis 2
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- Health Systems, Economic Evaluations, Quality of Life 4
- Co-authors
- Ashok Kumar Jha (3 shared papers)W. Dunlop (3 shared papers)Ron Akehurst (1 shared paper)Oswaldo Trelles (4 shared papers)James R. Perkins (3 shared papers)J.A. Cornejo‐García (2 shared papers)Theodoros N. Arvanitis (2 shared papers)Weiwei Xu (1 shared paper)
- Journals
- Value in Health (2 papers)IEEE Journal of Biomedical and Health Informatics (1 paper)Briefings in Bioinformatics (1 paper)BMC Pulmonary Medicine (1 paper)Journal of Crohn s and Colitis (1 paper)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Alex Upton
14 papers receiving 255 citations
Peers
Comparison fields: 5 of 51
- Immunology 119
- Genetics 72
- Economics and Econometrics 70
- Pediatrics, Perinatology and Child Health 42
- Pulmonary and Respiratory Medicine 61
Countries citing papers authored by Alex Upton
This map shows the geographic impact of Alex Upton'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 Alex Upton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Upton more than expected).
Fields of papers citing papers by Alex Upton
This network shows the impact of papers produced by Alex Upton. 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 Alex Upton. The network helps show where Alex Upton may publish in the future.
Co-authors
The 25 scholars most cited alongside Alex Upton, 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 | 118 | |
| 2 | 2019 | 56 | |
| 3 | 2015 | 32 | |
| 4 | 2014 | 9 | |
| 5 | 2021 | 9 | |
| 6 | 2013 | 9 | |
| 7 | 1963 | 6 | |
| 8 | 1963 | 5 | |
| 9 | 2012 | 4 | |
| 10 | 2015 | 4 | |
| 11 | 1964 | 4 | |
| 12 | 2014 | 3 | |
| 13 | 2015 | 2 | |
| 14 | 1986 | 2 | |
| 15 | Panel discussion: Sources of carcinogens. | 1978 | 1 |
| 16 | 2015 | 0 |
About Alex Upton
Alex Upton is a scholar working on Molecular Biology, Economics and Econometrics, Oncology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 264 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (4 papers), Bioinformatics and Genomic Networks (4 papers), Biosimilars and Bioanalytical Methods (3 papers), Gene expression and cancer classification (3 papers), Genetic Associations and Epidemiology (2 papers), Gene Regulatory Network Analysis (2 papers), Smoking Behavior and Cessation (1 paper) and Cancer Treatment and Pharmacology (1 paper). The work is most often cited by research in Immunology (119 citations), Genetics (72 citations), Economics and Econometrics (70 citations), Pediatrics, Perinatology and Child Health (42 citations) and Pulmonary and Respiratory Medicine (61 citations). Alex Upton has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Ashok Kumar Jha, W. Dunlop, Ron Akehurst, Oswaldo Trelles, James R. Perkins, J.A. Cornejo‐García, Theodoros N. Arvanitis, Weiwei Xu, James D. Chalmers and George M. Solomon. Their work appears in journals such as Value in Health, IEEE Journal of Biomedical and Health Informatics, Briefings in Bioinformatics, BMC Pulmonary Medicine and Journal of Crohn s and Colitis.
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.