Mark Wappett
Impact in
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- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- CAR-T cell therapy research
Papers in
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- Bioinformatics and Genomic Networks 3
- Ubiquitin and proteasome pathways 3
- Molecular Biology Techniques and Applications 2
- CRISPR and Genetic Engineering 2
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- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Elizabeth A. Harrington (2 shared papers)Margaret H. Veldman-Jones (2 shared papers)Chris Harbron (2 shared papers)Claire Rooney (1 shared paper)Hollie Emery (1 shared paper)Roz Brant (1 shared paper)Alan Sharpe (1 shared paper)Michael Dymond (1 shared paper)
- Journals
- Cancer Research (5 papers)Scientific Reports (2 papers)Cell Metabolism (1 paper)Clinical Cancer Research (1 paper)Cell Death Discovery (1 paper)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Mark Wappett
17 papers receiving 470 citations
Peers
Comparison fields: 5 of 80
- Cancer Research 140
- Oncology 144
- Molecular Biology 256
- Pathology and Forensic Medicine 64
- Genetics 37
Countries citing papers authored by Mark Wappett
This map shows the geographic impact of Mark Wappett'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 Mark Wappett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Wappett more than expected).
Fields of papers citing papers by Mark Wappett
This network shows the impact of papers produced by Mark Wappett. 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 Mark Wappett. The network helps show where Mark Wappett may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Wappett, 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 | 2015 | 234 | |
| 2 | 2014 | 54 | |
| 3 | 2016 | 29 | |
| 4 | 2016 | 28 | |
| 5 | 2013 | 24 | |
| 6 | 2020 | 23 | |
| 7 | 2012 | 20 | |
| 8 | 2015 | 15 | |
| 9 | 2016 | 15 | |
| 10 | 2024 | 9 | |
| 11 | 2022 | 8 | |
| 12 | 2021 | 5 | |
| 13 | 2022 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2019 | 3 | |
| 16 | 2020 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 0 |
About Mark Wappett
Mark Wappett is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cancer Research, Oncology and Organic Chemistry, having authored 18 papers that have together received 477 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Bioinformatics and Genomic Networks (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Ubiquitin and proteasome pathways (3 papers), Synthesis and Biological Evaluation (2 papers), Molecular Biology Techniques and Applications (2 papers), CRISPR and Genetic Engineering (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Cancer Research (140 citations), Oncology (144 citations), Molecular Biology (256 citations), Pathology and Forensic Medicine (64 citations) and Genetics (37 citations). Mark Wappett has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Elizabeth A. Harrington, Margaret H. Veldman-Jones, Chris Harbron, Claire Rooney, Hollie Emery, Roz Brant, Alan Sharpe, Michael Dymond, J. Carl Barrett and Catherine Geh. Their work appears in journals such as Cancer Research, Scientific Reports, Cell Metabolism, Clinical Cancer Research and Cell Death Discovery.
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.