Sam Thompson
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Molecular Biology top 10%
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Bioinformatics and Genomic Networks
- RNA Research and Splicing
- Gene expression and cancer classification
Papers in
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- Gene expression and cancer classification 1
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- Distributed and Parallel Computing Systems 1
- Co-authors
- Bhavana Harsha (1 shared paper)Ray Stefancsik (1 shared paper)David Beare (1 shared paper)Nidhi Bindal (1 shared paper)Charlotte G. Cole (1 shared paper)Peter J. Campbell (1 shared paper)Harry Boutselakis (1 shared paper)Simon Forbes (1 shared paper)
- Journals
- Cytometry Part A (2 papers)International Journal of Behavioral Nutrition and Physical Activity (1 paper)Nucleic Acids Research (1 paper)Pediatric Blood & Cancer (1 paper)Scientific Reports (1 paper)
- Partner nations
- United KingdomUnited StatesUruguay
In The Last Decade
Sam Thompson
7 papers receiving 1.3k citations
Sam Thompson's Hit Papers
Peers
Comparison fields: 5 of 98
- Cancer Research 423
- Molecular Biology 781
- Oncology 246
- Pathology and Forensic Medicine 126
- Genetics 66
Countries citing papers authored by Sam Thompson
This map shows the geographic impact of Sam Thompson'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 Sam Thompson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Thompson more than expected).
Fields of papers citing papers by Sam Thompson
This network shows the impact of papers produced by Sam Thompson. 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 Sam Thompson. The network helps show where Sam Thompson may publish in the future.
Co-authors
The 25 scholars most cited alongside Sam Thompson, 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 | COSMIC: somatic cancer genetics at high-resolution Hit paper breakdown → | 2016 | 1306 |
| 2 | Behavioural science and disease prevention: psychological guidance. | 2020 | 19 |
| 3 | 2018 | 8 | |
| 4 | 2024 | 6 | |
| 5 | 2019 | 6 | |
| 6 | 2023 | 2 | |
| 7 | 2019 | 1 |
About Sam Thompson
Sam Thompson is a scholar working on Molecular Biology, Computer Networks and Communications, Pediatrics, Perinatology and Child Health, Ecology and Information Systems and Management, having authored 7 papers that have together received 1.3k indexed citations. Recurring topics across this work include Parasites and Host Interactions (1 paper), Urban Transport and Accessibility (1 paper), Scientific Computing and Data Management (1 paper), Privacy-Preserving Technologies in Data (1 paper), Gene expression and cancer classification (1 paper), Childhood Cancer Survivors' Quality of Life (1 paper), Distributed and Parallel Computing Systems (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Cancer Research (423 citations), Molecular Biology (781 citations), Oncology (246 citations), Pathology and Forensic Medicine (126 citations) and Genetics (66 citations). Sam Thompson has collaborated with scholars based in United Kingdom, United States and Uruguay. Frequent co-authors include Bhavana Harsha, Ray Stefancsik, David Beare, Nidhi Bindal, Charlotte G. Cole, Peter J. Campbell, Harry Boutselakis, Simon Forbes, Harry Jubb and Sally Bamford. Their work appears in journals such as Cytometry Part A, International Journal of Behavioral Nutrition and Physical Activity, Nucleic Acids Research, Pediatric Blood & Cancer 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.