Mark Pinese

19.9k total citations
42 papers, 1.3k citations indexed

About

Mark Pinese is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Mark Pinese has authored 42 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 16 papers in Oncology and 11 papers in Genetics. Recurrent topics in Mark Pinese's work include Pancreatic and Hepatic Oncology Research (10 papers), Cancer Genomics and Diagnostics (9 papers) and Genomics and Rare Diseases (8 papers). Mark Pinese is often cited by papers focused on Pancreatic and Hepatic Oncology Research (10 papers), Cancer Genomics and Diagnostics (9 papers) and Genomics and Rare Diseases (8 papers). Mark Pinese collaborates with scholars based in Australia, United Kingdom and United States. Mark Pinese's co-authors include Andrew V. Biankin, Mark J. Cowley, Sean M. Grimmond, Nicola Waddell, John V. Pearson, Karin S. Kassahn, Sampsa Hautaniemi, Jianmin Wu, Elizabeth A. Musgrove and Robert L. Sutherland and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Mark Pinese

39 papers receiving 1.3k 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 Pinese Australia 20 798 427 301 171 155 42 1.3k
Manny D. Bacolod United States 18 779 1.0× 392 0.9× 441 1.5× 173 1.0× 140 0.9× 36 1.3k
Anna L. Stratford Canada 24 1.2k 1.5× 567 1.3× 445 1.5× 122 0.7× 130 0.8× 27 1.9k
Chirayu Goswami United States 25 1.1k 1.4× 443 1.0× 572 1.9× 154 0.9× 235 1.5× 44 1.8k
Landon J. Inge United States 21 1.1k 1.4× 433 1.0× 307 1.0× 74 0.4× 242 1.6× 41 1.7k
Ada Girnita Sweden 15 1.1k 1.4× 355 0.8× 332 1.1× 75 0.4× 137 0.9× 28 1.5k
Euan A. Stronach United Kingdom 22 1.1k 1.4× 463 1.1× 437 1.5× 137 0.8× 157 1.0× 37 1.6k
Zachary T. Herbert United States 14 722 0.9× 451 1.1× 329 1.1× 174 1.0× 289 1.9× 25 1.4k
Lydia W.T. Cheung Hong Kong 20 987 1.2× 348 0.8× 332 1.1× 194 1.1× 165 1.1× 40 1.6k
Yesim Gökmen‐Polar United States 26 1.1k 1.3× 430 1.0× 416 1.4× 85 0.5× 163 1.1× 92 1.7k
Damien Gerald United States 10 973 1.2× 376 0.9× 553 1.8× 118 0.7× 102 0.7× 16 1.5k

Countries citing papers authored by Mark Pinese

Since Specialization
Citations

This map shows the geographic impact of Mark Pinese'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 Pinese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Pinese more than expected).

Fields of papers citing papers by Mark Pinese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Pinese. 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 Pinese. The network helps show where Mark Pinese may publish in the future.

Co-authorship network of co-authors of Mark Pinese

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Pinese. A scholar is included among the top collaborators of Mark Pinese 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 Pinese. Mark Pinese 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.
Dudding‐Byth, Tracy, et al.. (2025). Updated penetrance estimates for recurrent copy number variants – an improved definition and formula. European Journal of Human Genetics. 34(1). 119–127.
2.
Quinn, Julian M.W., et al.. (2025). Data-driven insights to inform splice-altering variant assessment. The American Journal of Human Genetics. 112(4). 764–778.
3.
Gayevskiy, Velimir, Ryan L. Davis, Marie Wong, et al.. (2023). Introme accurately predicts the impact of coding and noncoding variants on gene splicing, with clinical applications. Genome biology. 24(1). 118–118. 10 indexed citations
4.
McGill, Brittany C., Claire E. Wakefield, Kathy Tucker, et al.. (2023). Parents’ expectations, preferences, and recall of germline findings in a childhood cancer precision medicine trial. Cancer. 129(22). 3620–3632. 12 indexed citations
5.
Minoche, André E., Ben Lundie, Greg B. Peters, et al.. (2021). ClinSV: clinical grade structural and copy number variant detection from whole genome sequencing data. Genome Medicine. 13(1). 32–32. 38 indexed citations
6.
Khuong-Quang, Dong-Anh, Lauren M. Brown, Marie Wong, et al.. (2020). Recurrent SPECC1L–NTRK fusions in pediatric sarcoma and brain tumors. Molecular Case Studies. 6(6). a005710–a005710. 5 indexed citations
7.
Thavaneswaran, Subotheni, Emma M. Rath, Kathy Tucker, et al.. (2019). Author Correction: Therapeutic implications of germline genetic findings in cancer. Nature Reviews Clinical Oncology. 16(6). 397–397. 1 indexed citations
8.
Thavaneswaran, Subotheni, Emma M. Rath, Kathy Tucker, et al.. (2019). Therapeutic implications of germline genetic findings in cancer. Nature Reviews Clinical Oncology. 16(6). 386–396. 34 indexed citations
9.
Lacaze, Paul, Mark Pinese, Warren Kaplan, et al.. (2018). The Medical Genome Reference Bank: a whole-genome data resource of 4000 healthy elderly individuals. Rationale and cohort design. European Journal of Human Genetics. 27(2). 308–316. 19 indexed citations
10.
Ziegler, David S., Marie Wong, Chelsea Mayoh, et al.. (2018). Brief Report: Potent clinical and radiological response to larotrectinib in TRK fusion-driven high-grade glioma. British Journal of Cancer. 119(6). 693–696. 81 indexed citations
11.
Rath, Emma M., Yuen Yee Cheng, Mark Pinese, et al.. (2018). BAMLET kills chemotherapy-resistant mesothelioma cells, holding oleic acid in an activated cytotoxic state. PLoS ONE. 13(8). e0203003–e0203003. 10 indexed citations
12.
Vennin, Claire, James R. W. Conway, Kara L. Vine, et al.. (2017). SerpinB2 regulates stromal remodelling and local invasion in pancreatic cancer. Oncogene. 36(30). 4288–4298. 77 indexed citations
13.
Kumar, Kishore R., Gautam Wali, Mahesh Kamate, et al.. (2016). Defining the genetic basis of early onset hereditary spastic paraplegia using whole genome sequencing. Neurogenetics. 17(4). 265–270. 22 indexed citations
14.
Liu, Ling, Luxi Zhang, Emily S. Humphrey, et al.. (2015). The pseudokinase SgK223 promotes invasion of pancreatic ductal epithelial cells through JAK1/Stat3 signaling. Molecular Cancer. 14(1). 139–139. 45 indexed citations
15.
Nagrial, Adnan, David K. Chang, Nam Q. Nguyen, et al.. (2013). Adjuvant chemotherapy in elderly patients with pancreatic cancer. British Journal of Cancer. 110(2). 313–319. 52 indexed citations
16.
Cowley, Mark J., Mark Pinese, Karin S. Kassahn, et al.. (2011). PINA v2.0: mining interactome modules. Nucleic Acids Research. 40(D1). D862–D865. 258 indexed citations
17.
Hochgräfe, Falko, Luxi Zhang, Sandra O’Toole, et al.. (2010). Tyrosine Phosphorylation Profiling Reveals the Signaling Network Characteristics of Basal Breast Cancer Cells. Cancer Research. 70(22). 9391–9401. 141 indexed citations
18.
Zardawi, Ibrahim M., Catriona M. McNeil, Ewan K.A. Millar, et al.. (2010). High Notch1 protein expression is an early event in breast cancer development and is associated with the HER‐2 molecular subtype. Histopathology. 56(3). 286–296. 48 indexed citations
19.
Pinese, Mark, Christopher J. Scarlett, James G. Kench, et al.. (2009). Messina: A Novel Analysis Tool to Identify Biologically Relevant Molecules in Disease. PLoS ONE. 4(4). e5337–e5337. 6 indexed citations
20.
Millar, Ewan K.A., Catriona M. McNeil, Sandra O’Toole, et al.. (2008). BAG-1 predicts patient outcome and tamoxifen responsiveness in ER-positive invasive ductal carcinoma of the breast. British Journal of Cancer. 100(1). 123–133. 33 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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