Alexander Wright
Impact in
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in ⓘ
- Oncology 12
- Colorectal Cancer Screening and Detection 4
- Pancreatic and Hepatic Oncology Research 3
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- AI in cancer detection 12
- Co-authors
- Darren Treanor (22 shared papers)Henry M. Wood (1 shared paper)Pamela Rabbitts (1 shared paper)Neeraj Sethi (1 shared paper)Tim Brend (1 shared paper)Anjana Patel (1 shared paper)Thomas A. Ward (1 shared paper)Karan Patel (1 shared paper)
- Journals
- Journal of Pathology Informatics (8 papers)The Journal of Pathology (2 papers)Journal of Clinical Oncology (2 papers)Oncotarget (2 papers)Scientific Reports (1 paper)
- Partner nations
- United KingdomSwedenNetherlands
In The Last Decade
Alexander Wright
30 papers receiving 463 citations
Peers
Comparison fields: 5 of 85
- Health Informatics 10
- Cancer Research 101
- Oncology 140
- Biophysics 25
- Radiology, Nuclear Medicine and Imaging 91
Countries citing papers authored by Alexander Wright
This map shows the geographic impact of Alexander Wright'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 Alexander Wright with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Wright more than expected).
Fields of papers citing papers by Alexander Wright
This network shows the impact of papers produced by Alexander Wright. 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 Alexander Wright. The network helps show where Alexander Wright may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexander Wright, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 106 | |
| 2 | 2014 | 62 | |
| 3 | 2020 | 38 | |
| 4 | 2020 | 36 | |
| 5 | 2021 | 23 | |
| 6 | 2017 | 22 | |
| 7 | 2018 | 22 | |
| 8 | 2015 | 21 | |
| 9 | 2016 | 19 | |
| 10 | 2015 | 17 | |
| 11 | 2013 | 16 | |
| 12 | 2019 | 12 | |
| 13 | 2020 | 11 | |
| 14 | 2016 | 10 | |
| 15 | 2016 | 6 | |
| 16 | 2022 | 6 | |
| 17 | 2014 | 6 | |
| 18 | 2021 | 4 | |
| 19 | 2015 | 4 | |
| 20 | 2011 | 4 |
About Alexander Wright
Alexander Wright is a scholar working on Oncology, Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 34 papers that have together received 468 indexed citations. Recurring topics across this work include AI in cancer detection (12 papers), Colorectal Cancer Screening and Detection (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Gastric Cancer Management and Outcomes (4 papers), Cell Image Analysis Techniques (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Health Informatics (10 citations), Cancer Research (101 citations), Oncology (140 citations), Biophysics (25 citations) and Radiology, Nuclear Medicine and Imaging (91 citations). Alexander Wright has collaborated with scholars based in United Kingdom, Sweden and Netherlands. Frequent co-authors include Darren Treanor, Henry M. Wood, Pamela Rabbitts, Neeraj Sethi, Tim Brend, Anjana Patel, Thomas A. Ward, Karan Patel, Susan Short and Heiko Wurdak. Their work appears in journals such as Journal of Pathology Informatics, The Journal of Pathology, Journal of Clinical Oncology, Oncotarget and Scientific Reports.
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.