Stuart Lacy
Impact in
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- Lymphoma Diagnosis and Treatment
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
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- Evolutionary Algorithms and Applications 2
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- Air Quality Monitoring and Forecasting 3
- Co-authors
- Stephen L. Smith (6 shared papers)Michael A. Lones (6 shared papers)Camilo Ruiz (2 shared papers)Paul Glover (3 shared papers)Simon Crouch (3 shared papers)Susanna L. Cooke (3 shared papers)Cathy Burton (2 shared papers)Daniel J. Hodson (3 shared papers)
- Journals
- Atmospheric measurement techniques (2 papers)Artificial Intelligence in Medicine (1 paper)Environmental Science Atmospheres (1 paper)Nature Communications (1 paper)Journal of Microscopy (1 paper)
- Partner nations
- United KingdomUnited StatesMalaysia
In The Last Decade
Stuart Lacy
12 papers receiving 417 citations
Stuart Lacy's Hit Papers
Peers
Comparison fields: 5 of 66
- Pathology and Forensic Medicine 238
- Genetics 111
- Oncology 151
- Neurology 78
- Cancer Research 46
Countries citing papers authored by Stuart Lacy
This map shows the geographic impact of Stuart Lacy'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 Stuart Lacy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stuart Lacy more than expected).
Fields of papers citing papers by Stuart Lacy
This network shows the impact of papers produced by Stuart Lacy. 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 Stuart Lacy. The network helps show where Stuart Lacy may publish in the future.
Co-authors
The 25 scholars most cited alongside Stuart Lacy, 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 | Targeted sequencing in DLBCL, molecular subtypes, and outcomes: a Haematological Malignancy Research Network report Hit paper breakdown → | 2020 | 260 |
| 2 | 2013 | 42 | |
| 3 | 2018 | 40 | |
| 4 | 2022 | 17 | |
| 5 | 2023 | 16 | |
| 6 | 2022 | 11 | |
| 7 | 2024 | 11 | |
| 8 | 2015 | 10 | |
| 9 | 2013 | 5 | |
| 10 | 2015 | 5 | |
| 11 | 2024 | 3 | |
| 12 | 2013 | 3 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 | |
| 16 | 2021 | 0 |
About Stuart Lacy
Stuart Lacy is a scholar working on Artificial Intelligence, Environmental Engineering, Pathology and Forensic Medicine, Health, Toxicology and Mutagenesis and Molecular Biology, having authored 16 papers that have together received 423 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (3 papers), Air Quality Monitoring and Forecasting (3 papers), Air Quality and Health Impacts (3 papers), Cell Image Analysis Techniques (2 papers), Genetic factors in colorectal cancer (2 papers), Evolutionary Algorithms and Applications (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (238 citations), Genetics (111 citations), Oncology (151 citations), Neurology (78 citations) and Cancer Research (46 citations). Stuart Lacy has collaborated with scholars based in United Kingdom, United States and Malaysia. Frequent co-authors include Stephen L. Smith, Michael A. Lones, Camilo Ruiz, Paul Glover, Simon Crouch, Susanna L. Cooke, Cathy Burton, Daniel J. Hodson, Russell Patmore and Sharon Barrans. Their work appears in journals such as Atmospheric measurement techniques, Artificial Intelligence in Medicine, Environmental Science Atmospheres, Nature Communications and Journal of Microscopy.
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.