Mark Wappett

738 total citations
18 papers, 477 citations indexed

About

Mark Wappett is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cancer Research. According to data from OpenAlex, Mark Wappett has authored 18 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Cancer Research. Recurrent topics in Mark Wappett's work include Bioinformatics and Genomic Networks (3 papers), Ubiquitin and proteasome pathways (3 papers) and Cancer Genomics and Diagnostics (3 papers). Mark Wappett is often cited by papers focused on Bioinformatics and Genomic Networks (3 papers), Ubiquitin and proteasome pathways (3 papers) and Cancer Genomics and Diagnostics (3 papers). Mark Wappett collaborates with scholars based in United Kingdom, United States and Sweden. Mark Wappett's co-authors include Elizabeth A. Harrington, Margaret H. Veldman-Jones, Chris Harbron, Roz Brant, Claire Rooney, Michael Dymond, Gayle Marshall, Hollie Emery, J. Carl Barrett and Catherine Geh and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Cell Metabolism.

In The Last Decade

Mark Wappett

17 papers receiving 470 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Wappett United Kingdom 10 256 144 140 64 57 18 477
Eigo Shimizu Japan 10 221 0.9× 115 0.8× 168 1.2× 72 1.1× 153 2.7× 32 591
Cristina Mirantes Spain 13 279 1.1× 168 1.2× 112 0.8× 55 0.9× 142 2.5× 17 595
Shuo You China 11 249 1.0× 193 1.3× 100 0.7× 65 1.0× 117 2.1× 17 531
Víctor González‐Rumayor Spain 10 277 1.1× 87 0.6× 203 1.4× 36 0.6× 50 0.9× 16 478
Sébastien de Feraudy United States 13 277 1.1× 174 1.2× 113 0.8× 106 1.7× 76 1.3× 32 655
Minghui Zhang China 12 321 1.3× 132 0.9× 173 1.2× 38 0.6× 61 1.1× 19 494
Elise Gradhand Germany 12 282 1.1× 205 1.4× 147 1.1× 54 0.8× 46 0.8× 35 549
Yanjun Gu China 11 348 1.4× 166 1.2× 208 1.5× 31 0.5× 77 1.4× 24 532
Erhong Meng China 10 296 1.2× 236 1.6× 112 0.8× 33 0.5× 61 1.1× 24 571
Kristen E. Muller United States 15 196 0.8× 275 1.9× 162 1.2× 88 1.4× 72 1.3× 42 587

Countries citing papers authored by Mark Wappett

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mark Wappett

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Wappett. A scholar is included among the top collaborators of Mark Wappett 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 Mark Wappett. Mark Wappett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Cotton, Graham, Aaron Cranston, Mark Wappett, et al.. (2025). Abstract LB229: ALM-401: A first-in-class next generation bispecific ADC configured to deliver superior efficacy in selected solid tumor indications. Cancer Research. 85(8_Supplement_2). LB229–LB229.
2.
Wappett, Mark, Julien Daubriac, Ian Lobb, et al.. (2024). USP7 inhibitors suppress tumour neoangiogenesis and promote synergy with immune checkpoint inhibitors by downregulating fibroblast VEGF. Clinical and Translational Medicine. 14(4). e1648–e1648. 9 indexed citations
3.
Cotton, Graham, Estelle G. McLean, Mark Wappett, et al.. (2024). Abstract LB045: Exploiting biparatopic binding to deliver novel, differentiated ALPP/ALPPL2 targeting protein drug conjugates. Cancer Research. 84(7_Supplement). LB045–LB045. 1 indexed citations
4.
Sessler, Tamas, Mark Wappett, David J. Sharkey, et al.. (2023). surviveR: a flexible shiny application for patient survival analysis. Scientific Reports. 13(1). 22093–22093. 3 indexed citations
5.
Sessler, Tamas, Harper VanSteenhouse, Mark Lawler, et al.. (2022). classifieR a flexible interactive cloud-application for functional annotation of cancer transcriptomes. BMC Bioinformatics. 23(1). 114–114. 4 indexed citations
6.
Page, Natalie, Mark Wappett, C. O'Dowd, et al.. (2022). Identification and development of a subtype-selective allosteric AKT inhibitor suitable for clinical development. Scientific Reports. 12(1). 15715–15715. 8 indexed citations
7.
Wappett, Mark, et al.. (2021). SynLeGG: analysis and visualization of multiomics data for discovery of cancer ‘Achilles Heels’ and gene function relationships. Nucleic Acids Research. 49(W1). W613–W618. 5 indexed citations
8.
Ferris, Jennifer S., Margarita Espona‐Fiedler, Caitriona Holohan, et al.. (2020). Pevonedistat (MLN4924): mechanism of cell death induction and therapeutic potential in colorectal cancer. Cell Death Discovery. 6(1). 61–61. 23 indexed citations
9.
Cotton, Graham, Stacey J. Bell, Mark Wappett, et al.. (2020). Abstract 538: Exploiting the properties of VNAR domains for the development of novel efficacious protein drug conjugates targeting the oncofetal protein ROR1. Cancer Research. 80(16_Supplement). 538–538. 2 indexed citations
10.
Cotton, Graham, Stacey J. Bell, Mark Wappett, et al.. (2019). Abstract 222: Novel protein drug conjugates targeting ROR1 through the development and exploitation of a drug discovery platform based on small, engineered VNAR domains. Cancer Research. 79(13_Supplement). 222–222. 3 indexed citations
11.
Taylor, Molly A., Mark Wappett, Oona Delpuech, Helen Brown, & Christine M. Chresta. (2016). Enhanced MAPK signaling drives ETS1-mediated induction of miR-29b leading to downregulation of TET1 and changes in epigenetic modifications in a subset of lung SCC. Oncogene. 35(33). 4345–4357. 28 indexed citations
12.
Wappett, Mark, et al.. (2016). Multi-omic measurement of mutually exclusive loss-of-function enriches for candidate synthetic lethal gene pairs. BMC Genomics. 17(1). 65–65. 15 indexed citations
13.
Bradford, James, Mark Wappett, Garry Beran, et al.. (2016). Whole transcriptome profiling of patient-derived xenograft models as a tool to identify both tumor and stromal specific biomarkers. Oncotarget. 7(15). 20773–20787. 29 indexed citations
14.
Veldman-Jones, Margaret H., Roz Brant, Claire Rooney, et al.. (2015). Evaluating Robustness and Sensitivity of the NanoString Technologies nCounter Platform to Enable Multiplexed Gene Expression Analysis of Clinical Samples. Cancer Research. 75(13). 2587–2593. 234 indexed citations
15.
Pommier, Aurélien, Matthew R. Farren, Bhavika Patel, et al.. (2015). Leptin, BMI, and a Metabolic Gene Expression Signature Associated with Clinical Outcome to VEGF Inhibition in Colorectal Cancer. Cell Metabolism. 23(1). 77–93. 15 indexed citations
16.
Veldman-Jones, Margaret H., Zhongwu Lai, Mark Wappett, et al.. (2014). Reproducible, Quantitative, and Flexible Molecular Subtyping of Clinical DLBCL Samples Using the NanoString nCounter System. Clinical Cancer Research. 21(10). 2367–2378. 54 indexed citations
17.
Bradford, James, Matthew R. Farren, Steve Powell, et al.. (2013). RNA-Seq Differentiates Tumour and Host mRNA Expression Changes Induced by Treatment of Human Tumour Xenografts with the VEGFR Tyrosine Kinase Inhibitor Cediranib. PLoS ONE. 8(6). e66003–e66003. 24 indexed citations
18.
Linton, Kim, Mark Wappett, Cynthia M. Lachel, et al.. (2012). Microarray Gene Expression Analysis of Fixed Archival Tissue Permits Molecular Classification and Identification of Potential Therapeutic Targets in Diffuse Large B-Cell Lymphoma. Journal of Molecular Diagnostics. 14(3). 223–232. 20 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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