Alexander Ian Wright
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Cancer Cells and Metastasis
Papers in
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- AI in cancer detection 12
- Oncology 7
- Colorectal Cancer Screening and Detection 4
- Co-authors
- Darren E. Treanor (20 shared papers)Pamela H. Rabbitts (1 shared paper)Gordon G.A. Hutchins (5 shared papers)Neeraj Sethi (1 shared paper)Henry M. Wood (1 shared paper)Karan Patel (1 shared paper)Lucy F. Stead (1 shared paper)Heiko Wurdak (1 shared paper)
- Journals
- Journal of Pathology Informatics (9 papers)British journal of surgery (2 papers)Oncotarget (2 papers)The Journal of Pathology (2 papers)Theranostics (1 paper)
- Partner nations
- United KingdomSwedenNetherlands
In The Last Decade
Alexander Ian Wright
32 papers receiving 703 citations
Peers
Comparison fields: 5 of 94
- Cancer Research 128
- Oncology 148
- Health Informatics 8
- Biophysics 24
- Radiology, Nuclear Medicine and Imaging 84
Countries citing papers authored by Alexander Ian Wright
This map shows the geographic impact of Alexander Ian 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 Ian 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 Ian Wright more than expected).
Fields of papers citing papers by Alexander Ian Wright
This network shows the impact of papers produced by Alexander Ian 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 Ian Wright. The network helps show where Alexander Ian Wright may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexander Ian 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 | 2012 | 143 | |
| 2 | 2017 | 117 | |
| 3 | 2014 | 67 | |
| 4 | 2020 | 57 | |
| 5 | 2020 | 41 | |
| 6 | 2020 | 40 | |
| 7 | 2021 | 27 | |
| 8 | 2015 | 25 | |
| 9 | 2018 | 24 | |
| 10 | 2017 | 23 | |
| 11 | 2016 | 20 | |
| 12 | 2015 | 18 | |
| 13 | 2013 | 16 | |
| 14 | 2019 | 14 | |
| 15 | 2020 | 14 | |
| 16 | 2016 | 12 | |
| 17 | 2022 | 7 | |
| 18 | 2016 | 7 | |
| 19 | 2014 | 6 | |
| 20 | 2021 | 5 |
About Alexander Ian Wright
Alexander Ian Wright is a scholar working on Artificial Intelligence, Oncology, Computer Vision and Pattern Recognition, Biophysics and Radiology, Nuclear Medicine and Imaging, having authored 34 papers that have together received 716 indexed citations. Recurring topics across this work include AI in cancer detection (12 papers), Colorectal Cancer Screening and Detection (4 papers), Estrogen and related hormone effects (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Cell Image Analysis Techniques (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Advanced Data Compression Techniques (1 paper). The work is most often cited by research in Cancer Research (128 citations), Oncology (148 citations), Health Informatics (8 citations), Biophysics (24 citations) and Radiology, Nuclear Medicine and Imaging (84 citations). Alexander Ian Wright has collaborated with scholars based in United Kingdom, Sweden and Netherlands. Frequent co-authors include Darren E. Treanor, Pamela H. Rabbitts, Gordon G.A. Hutchins, Neeraj Sethi, Henry M. Wood, Karan Patel, Lucy F. Stead, Heiko Wurdak, Tim Brend and Susan C Short. Their work appears in journals such as Journal of Pathology Informatics, British journal of surgery, Oncotarget, The Journal of Pathology and Theranostics.
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.