Peter T. Simpson

27.3k total citations
105 papers, 5.1k citations indexed

About

Peter T. Simpson is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Peter T. Simpson has authored 105 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 45 papers in Cancer Research and 43 papers in Oncology. Recurrent topics in Peter T. Simpson's work include Cancer Genomics and Diagnostics (24 papers), Breast Cancer Treatment Studies (22 papers) and Cancer Cells and Metastasis (16 papers). Peter T. Simpson is often cited by papers focused on Cancer Genomics and Diagnostics (24 papers), Breast Cancer Treatment Studies (22 papers) and Cancer Cells and Metastasis (16 papers). Peter T. Simpson collaborates with scholars based in Australia, United Kingdom and United States. Peter T. Simpson's co-authors include Sunil R. Lakhani, Jorge S. Reis‐Filho, Theodora Gale, Amy E. McCart Reed, Jamie R. Kutasovic, Lynne Reid, Chris Jones, Leonard Da Silva, Kay Savage and Fernando Schmitt and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Peter T. Simpson

101 papers receiving 5.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter T. Simpson Australia 38 2.4k 2.3k 2.0k 1.3k 754 105 5.1k
Felipe C. Geyer United Kingdom 32 2.0k 0.8× 2.1k 0.9× 2.1k 1.0× 956 0.7× 697 0.9× 51 4.5k
Constance T. Albarracin United States 43 2.1k 0.9× 1.8k 0.8× 1.7k 0.8× 1.3k 1.0× 851 1.1× 122 5.2k
Kay Savage United Kingdom 42 2.1k 0.9× 2.8k 1.2× 2.6k 1.3× 1.0k 0.8× 647 0.9× 66 5.7k
Werner Boecker Germany 37 1.4k 0.6× 1.6k 0.7× 1.6k 0.8× 1.2k 0.9× 683 0.9× 110 4.3k
Fernanda Milanezi Portugal 36 1.2k 0.5× 1.7k 0.7× 1.9k 0.9× 834 0.6× 686 0.9× 75 4.0k
Salvatore Piscuoglio Switzerland 39 2.7k 1.2× 2.5k 1.1× 1.7k 0.8× 861 0.7× 1.0k 1.4× 133 5.3k
Rachael Natrajan United Kingdom 48 2.9k 1.2× 4.7k 2.0× 3.7k 1.8× 1.2k 0.9× 1.0k 1.4× 112 7.9k
Desmond G. Powe United Kingdom 36 1.8k 0.7× 1.5k 0.7× 2.6k 1.3× 669 0.5× 660 0.9× 63 5.2k
Aye Aye Thike Singapore 32 1.5k 0.6× 1.1k 0.5× 1.4k 0.7× 1.1k 0.8× 497 0.7× 104 3.4k
Magali Lacroix‐Triki France 29 1.4k 0.6× 1.4k 0.6× 1.3k 0.6× 648 0.5× 476 0.6× 89 3.1k

Countries citing papers authored by Peter T. Simpson

Since Specialization
Citations

This map shows the geographic impact of Peter T. Simpson'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 Peter T. Simpson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter T. Simpson more than expected).

Fields of papers citing papers by Peter T. Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter T. Simpson. 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 Peter T. Simpson. The network helps show where Peter T. Simpson may publish in the future.

Co-authorship network of co-authors of Peter T. Simpson

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

All Works

20 of 20 papers shown
1.
Schomakers, Bauke V., Peter T. Simpson, Michel van Weeghel, et al.. (2025). Integrated multi-omics mapping of mitochondrial dysfunction and substrate preference in Barth syndrome cardiac tissue. EMBO Molecular Medicine. 17(11). 3227–3246.
2.
Beecher, Kate, Malcolm Lim, Andrew W. Stacey, et al.. (2024). B7-H3 Expression in Breast Cancer and Brain Metastasis. International Journal of Molecular Sciences. 25(7). 3976–3976. 9 indexed citations
3.
4.
Lim, Malcolm, Nicholas L. Fletcher, Jodi M. Saunus, et al.. (2023). Targeted Hyperbranched Nanoparticles for Delivery of Doxorubicin in Breast Cancer Brain Metastasis. Molecular Pharmaceutics. 20(12). 6169–6183. 16 indexed citations
5.
6.
Fielding, David, Andrew J. Dalley, Farzad Bashirzadeh, et al.. (2017). Diffquik Stained Cytology Smears Provide Improved Malignant Cell Dna Yields From Lymph Nodes At Endobronchial Ultrasound Transbronchial Needle Aspiration (Ebus-Tbna). Respirology. 22. 100–100. 1 indexed citations
7.
Simpson, Peter T., Xiuju Jiang, Gang Lin, et al.. (2017). Rational Design of Selective and Bioactive Inhibitors of the Mycobacterium Tuberculosis Proteasome. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
8.
Srihari, Sriganesh, Murugan Kalimutho, Samir Lal, et al.. (2016). Understanding the functional impact of copy number alterations in breast cancer using a network modeling approach. Molecular BioSystems. 12(3). 963–972. 23 indexed citations
9.
Liu, Chao, Sriganesh Srihari, Samir Lal, et al.. (2015). Personalised pathway analysis reveals association between DNA repair pathway dysregulation and chromosomal instability in sporadic breast cancer. Molecular Oncology. 10(1). 179–193. 20 indexed citations
10.
Owens, Thomas W., Sarah A. Best, Alison Ferguson, et al.. (2014). Runx2 Is a Novel Regulator of Mammary Epithelial Cell Fate in Development and Breast Cancer. Cancer Research. 74(18). 5277–5286. 60 indexed citations
11.
Al‐Ejeh, Fares, Peter T. Simpson, Kerenaftali Klein, et al.. (2014). Meta-analysis of the global gene expression profile of triple-negative breast cancer identifies genes for the prognostication and treatment of aggressive breast cancer. Oncogenesis. 3(4). e100–e100. 80 indexed citations
12.
13.
Waldron, Levi, Shuji Ogino, Yujin Hoshida, et al.. (2012). Expression Profiling of Archival Tumors for Long-term Health Studies. Clinical Cancer Research. 18(22). 6136–6146. 25 indexed citations
14.
Reis-Filho, J. S., Fernanda Milanezi, D Steele, et al.. (2006). Metaplastic breast carcinomas are basal‐like tumours. Histopathology. 49(1). 10–21. 264 indexed citations
15.
Reis‐Filho, Jorge S., Peter T. Simpson, Nicholas C. Turner, et al.. (2006). FGFR1 Emerges as a Potential Therapeutic Target for Lobular Breast Carcinomas. Clinical Cancer Research. 12(22). 6652–6662. 215 indexed citations
16.
Lambros, Maryou B., Peter T. Simpson, Chris Jones, et al.. (2006). Unlocking pathology archives for molecular genetic studies: A reliable method to generate probes for chromogenic and fluorescent in situ hybridisation. Modern Pathology. 19. 139–140. 3 indexed citations
17.
Simpson, Peter T., Jorge S. Reis‐Filho, Chris Jones, et al.. (2005). Columnar Cell Lesions of the Breast: The Missing Link in Breast Cancer Progression?. The American Journal of Surgical Pathology. 29(6). 734–746. 200 indexed citations
18.
Simpson, Peter T., Jorge S. Reis‐Filho, Chris Jones, et al.. (2005). Columnar cell lesions of the breast. The American Journal of Surgical Pathology. 29(6). 1 indexed citations
19.
Mackay, Alan, Chris Jones, Tim Dexter, et al.. (2003). cDNA microarray analysis of genes associated with ERBB2 (HER2/neu) overexpression in human mammary luminal epithelial cells. Oncogene. 22(17). 2680–2688. 135 indexed citations
20.
Simpson, Peter T., Balvinder Shoker, Roger Barraclough, et al.. (2003). Examination of tumour histopathology and gene expression in a neu/S100A4 transgenic model of metastatic breast cancer. International Journal of Experimental Pathology. 84(4). 173–184. 7 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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