Alexander Wright

885 total citations
34 papers, 468 citations indexed

About

Alexander Wright is a scholar working on Oncology, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Alexander Wright has authored 34 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 12 papers in Artificial Intelligence and 7 papers in Molecular Biology. Recurrent topics in Alexander Wright's work include AI in cancer detection (12 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Colorectal Cancer Screening and Detection (4 papers). Alexander Wright is often cited by papers focused on AI in cancer detection (12 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Colorectal Cancer Screening and Detection (4 papers). Alexander Wright collaborates with scholars based in United Kingdom, Sweden and Netherlands. Alexander Wright's co-authors include Darren Treanor, Pamela Rabbitts, Neeraj Sethi, Henry M. Wood, Lucy F. Stead, Karan Patel, Thomas A. Ward, Anjana Patel, Heiko Wurdak and Susan Short and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and Journal of Hepatology.

In The Last Decade

Alexander Wright

30 papers receiving 463 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alexander Wright United Kingdom 12 190 140 116 101 91 34 468
Alfredo Zito Italy 14 141 0.7× 174 1.2× 212 1.8× 88 0.9× 248 2.7× 28 572
Richard Berendt Canada 13 131 0.7× 219 1.6× 162 1.4× 117 1.2× 92 1.0× 27 548
Kevin Boehm United States 5 135 0.7× 56 0.4× 128 1.1× 89 0.9× 164 1.8× 8 433
Aileen I. Fernandez United States 11 112 0.6× 199 1.4× 86 0.7× 83 0.8× 128 1.4× 30 411
Krzysztof Fujarewicz Poland 12 388 2.0× 109 0.8× 45 0.4× 138 1.4× 52 0.6× 41 661
Ryan Hutchinson Australia 11 428 2.3× 144 1.0× 89 0.8× 87 0.9× 328 3.6× 18 688
Jiamei Chen China 13 94 0.5× 107 0.8× 83 0.7× 69 0.7× 66 0.7× 25 350
Gillian O’Hurley Ireland 10 198 1.0× 68 0.5× 50 0.4× 67 0.7× 53 0.6× 15 369
Liang‐Ru Ke China 18 239 1.3× 291 2.1× 61 0.5× 125 1.2× 140 1.5× 37 767
Yuchen Zhang China 9 239 1.3× 137 1.0× 58 0.5× 152 1.5× 65 0.7× 39 497

Countries citing papers authored by Alexander Wright

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Alexander Wright

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Wright. A scholar is included among the top collaborators of Alexander Wright based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alexander Wright. Alexander Wright is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
McGenity, Clare, et al.. (2025). Liver-Quant: Feature-based image analysis toolkit for automatic quantification of metabolic dysfunction-associated steatotic liver disease. Computers in Biology and Medicine. 190. 110049–110049. 3 indexed citations
2.
Wright, Alexander, et al.. (2024). Object-based feedback attention in convolutional neural networks improves tumour detection in digital pathology. Scientific Reports. 14(1). 30400–30400.
3.
Humphries, Matthew P., et al.. (2024). Development of a multi‐scanner facility for data acquisition for digital pathology artificial intelligence. The Journal of Pathology. 264(1). 80–89. 2 indexed citations
4.
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6.
Wright, Alexander, et al.. (2022). Attention-guided sampling for colorectal cancer analysis with digital pathology. Journal of Pathology Informatics. 13. 100110–100110. 6 indexed citations
7.
Saito, Yuichi, Takaki Yoshikawa, Takashi Oshima, et al.. (2021). Increasing frequency of gene copy number aberrations is associated with immunosuppression and predicts poor prognosis in gastric adenocarcinoma. British journal of surgery. 109(3). 291–297. 4 indexed citations
8.
Wright, Alexander, et al.. (2020). The Effect of Quality Control on Accuracy of Digital Pathology Image Analysis. IEEE Journal of Biomedical and Health Informatics. 25(2). 307–314. 36 indexed citations
9.
Wright, Alexander, et al.. (2020). A Point-of-Use Quality Assurance Tool for Digital Pathology Remote Working. Journal of Pathology Informatics. 11(1). 17–17. 11 indexed citations
10.
Williams, Bethany, D S Brettle, Paul Barrett, et al.. (2020). Guidance for Remote Reporting of Digital Pathology Slides During Periods of Exceptional Service Pressure: An Emergency Response from the UK Royal College of Pathologists. Journal of Pathology Informatics. 11(1). 12–12. 38 indexed citations
11.
Clarke, Emily L., et al.. (2019). Development and Evaluation of a Novel Point-of-Use Quality Assurance Tool for Digital Pathology. Archives of Pathology & Laboratory Medicine. 143(10). 1246–1255. 12 indexed citations
12.
Brend, Tim, Alexander Wright, Thomas A. Ward, et al.. (2017). RAD51 Is a Selective DNA Repair Target to Radiosensitize Glioma Stem Cells. Stem Cell Reports. 8(1). 125–139. 106 indexed citations
13.
Wright, Alexander, Derek Magee, Philip Quirke, & Darren Treanor. (2015). Prospector: A web-based tool for rapid acquisition of gold standard data for pathology research and image analysis. Journal of Pathology Informatics. 6(1). 21–21. 4 indexed citations
14.
Orsi, Nicolas M., et al.. (2015). The prognostic significance of tumour-stroma ratio in endometrial carcinoma. BMC Cancer. 15(1). 955–955. 21 indexed citations
15.
Wright, Alexander, Heike I. Grabsch, & Darren Treanor. (2015). RandomSpot: A web-based tool for systematic random sampling of virtual slides. Journal of Pathology Informatics. 6(1). 8–8. 17 indexed citations
16.
Sethi, Neeraj, Alexander Wright, Henry M. Wood, & Pamela Rabbitts. (2014). MicroRNAs and head and neck cancer: Reviewing the first decade of research. European Journal of Cancer. 50(15). 2619–2635. 62 indexed citations
17.
Aoyama, Toru, Alexander Wright, Darren Treanor, et al.. (2014). Prognostic and predictive value of tumor-infiltrating immune cells in Japanese patients with stage II/III gastric cancer.. Journal of Clinical Oncology. 32(3_suppl). 46–46. 1 indexed citations
18.
Lyttleton, Oliver, Alexander Wright, Darren Treanor, & Paul D. Lewis. (2011). Using XML to encode TMA DES metadata. Journal of Pathology Informatics. 2(1). 40–40. 3 indexed citations
19.
Wright, Alexander, Oliver Lyttleton, Paul D. Lewis, Philip Quirke, & Darren Treanor. (2011). The tissue microarray data exchange specification: Extending TMA DES to provide flexible scoring and incorporate virtual slides. Journal of Pathology Informatics. 2(1). 15–15. 4 indexed citations
20.
Lyttleton, Oliver, Alexander Wright, Darren Treanor, Philip Quirke, & Paul D. Lewis. (2011). Extending the tissue microarray data exchange specification for inclusion of data analysis results. Journal of Pathology Informatics. 2(1). 17–17. 2 indexed citations

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.

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