Mark Wappett
Impact in
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- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
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- Lymphoma Diagnosis and Treatment
Papers in
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- Lymphoma Diagnosis and Treatment 2
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- Gene expression and cancer classification 2
- PI3K/AKT/mTOR signaling in cancer 1
- Cell death mechanisms and regulation 1
- Angiogenesis and VEGF in Cancer 1
- Co-authors
- Elizabeth A. Harrington (2 shared papers)Margaret H. Veldman-Jones (2 shared papers)Chris G. Harbron (2 shared papers)Michael Dymond (1 shared paper)Claire M. Rooney (1 shared paper)Catherine Geh (1 shared paper)Gayle B. Marshall (1 shared paper)Roz Brant (1 shared paper)
- Journals
- Scientific Reports (2 papers)Blood (1 paper)BMC Bioinformatics (1 paper)Oncotarget (1 paper)Cell Death Discovery (1 paper)
- Partner nations
- United KingdomUnited StatesIreland
In The Last Decade
Mark Wappett
17 papers receiving 573 citations
Peers
Comparison fields: 5 of 49
- Cancer Research 59
- Pathology and Forensic Medicine 50
- Oncology 59
- Genetics 18
- Molecular Biology 112
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 | 262 | |
| 2 | 2014 | 66 | |
| 3 | 2016 | 36 | |
| 4 | 2016 | 28 | |
| 5 | 2013 | 25 | |
| 6 | 2020 | 25 | |
| 7 | 2012 | 22 | |
| 8 | 2011 | 21 | |
| 9 | 2016 | 20 | |
| 10 | 2020 | 19 | |
| 11 | 2015 | 17 | |
| 12 | 2022 | 11 | |
| 13 | 2024 | 11 | |
| 14 | 2021 | 6 | |
| 15 | 2023 | 6 | |
| 16 | 2022 | 4 | |
| 17 | 2022 | 2 |
About Mark Wappett
Mark Wappett is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Oncology, Cancer Research and Nuclear Energy and Engineering, having authored 17 papers that have together received 581 indexed citations. Recurring topics across this work include Gene expression and cancer classification (2 papers), Lymphoma Diagnosis and Treatment (2 papers), PI3K/AKT/mTOR signaling in cancer (1 paper), Cell death mechanisms and regulation (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Cancer-related Molecular Pathways (1 paper), Angiogenesis and VEGF in Cancer (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Cancer Research (59 citations), Pathology and Forensic Medicine (50 citations), Oncology (59 citations), Genetics (18 citations) and Molecular Biology (112 citations). Mark Wappett has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Elizabeth A. Harrington, Margaret H. Veldman-Jones, Chris G. Harbron, Michael Dymond, Claire M. Rooney, Catherine Geh, Gayle B. Marshall, Roz Brant, J. Carl Barrett and Alan D. Sharpe. Their work appears in journals such as Scientific Reports, Blood, BMC Bioinformatics, Oncotarget 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.