Jelmar Quist

981 total citations
22 papers, 259 citations indexed

About

Jelmar Quist is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Jelmar Quist has authored 22 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Jelmar Quist's work include Cancer Genomics and Diagnostics (7 papers), BRCA gene mutations in cancer (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Jelmar Quist is often cited by papers focused on Cancer Genomics and Diagnostics (7 papers), BRCA gene mutations in cancer (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Jelmar Quist collaborates with scholars based in United Kingdom, United States and Australia. Jelmar Quist's co-authors include Anita Grigoriadis, Andrew Tutt, Michael H. Malim, Johan Staaf, Joseph Ng, Franca Fraternali, Maggie C.U. Cheang, Christopher J. Lord, Hans Clevers and Michael A. Carpenter and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Clinical Oncology.

In The Last Decade

Jelmar Quist

21 papers receiving 252 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jelmar Quist United Kingdom 10 127 102 72 39 29 22 259
Trudy N. Jonges Netherlands 9 95 0.7× 54 0.5× 78 1.1× 71 1.8× 24 0.8× 15 307
Tonje G. Lien Norway 9 260 2.0× 72 0.7× 119 1.7× 38 1.0× 48 1.7× 15 378
Gahee Park South Korea 10 107 0.8× 104 1.0× 134 1.9× 59 1.5× 34 1.2× 27 285
Roy R. L. Bastien United States 5 106 0.8× 77 0.8× 82 1.1× 23 0.6× 28 1.0× 10 183
Christine Y. Shiang United States 8 216 1.7× 193 1.9× 191 2.7× 60 1.5× 36 1.2× 13 427
Mark Laible Germany 10 131 1.0× 111 1.1× 101 1.4× 66 1.7× 25 0.9× 19 302
Weizhu Wu China 12 152 1.2× 65 0.6× 141 2.0× 33 0.8× 45 1.6× 21 275
German Demidov Germany 8 77 0.6× 91 0.9× 42 0.6× 39 1.0× 43 1.5× 15 204
Jose J. Galvez United States 9 179 1.4× 128 1.3× 58 0.8× 90 2.3× 51 1.8× 16 351
Mihyang Ha South Korea 10 177 1.4× 47 0.5× 79 1.1× 77 2.0× 10 0.3× 30 302

Countries citing papers authored by Jelmar Quist

Since Specialization
Citations

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

Fields of papers citing papers by Jelmar Quist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jelmar Quist

This figure shows the co-authorship network connecting the top 25 collaborators of Jelmar Quist. A scholar is included among the top collaborators of Jelmar Quist 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 Jelmar Quist. Jelmar Quist 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.
Gardi, Nilesh, Pallavi Parab, Suyash Kulkarni, et al.. (2024). Natural History of Germline BRCA1 Mutated and BRCA Wild-type Triple-negative Breast Cancer. Cancer Research Communications. 4(2). 404–417. 3 indexed citations
2.
Quist, Jelmar, et al.. (2024). PAK6 acts downstream of IQGAP3 to promote contractility in triple negative breast cancer cells. Cellular Signalling. 121. 111233–111233. 3 indexed citations
3.
Tovey, Holly, Joel S. Parker, Katherine A. Hoadley, et al.. (2023). Integrated Multimodal Analyses of DNA Damage Response and Immune Markers as Predictors of Response in Metastatic Triple-Negative Breast Cancer in the TNT Trial (NCT00532727). Clinical Cancer Research. 29(18). 3691–3705. 3 indexed citations
4.
Tan, Veronique Kiak Mien, Benita Kiat Tee Tan, Yirong Sim, et al.. (2023). Adipose-enriched peri-tumoral stroma, in contrast to myofibroblast-enriched stroma, prognosticates poorer survival in breast cancers. npj Breast Cancer. 9(1). 84–84. 2 indexed citations
5.
Cheung, Anthony, Alicia M. Chenoweth, Jelmar Quist, et al.. (2022). CDK Inhibition Primes for Anti-PD-L1 Treatment in Triple-Negative Breast Cancer Models. Cancers. 14(14). 3361–3361. 11 indexed citations
6.
Liu, Fangfang, Kailiang Wu, Jelmar Quist, et al.. (2021). Systemic immune reaction in axillary lymph nodes adds to tumor-infiltrating lymphocytes in triple-negative breast cancer prognostication. npj Breast Cancer. 7(1). 86–86. 12 indexed citations
7.
Quist, Jelmar, et al.. (2021). Random Forest Modelling of High-Dimensional Mixed-Type Data for Breast Cancer Classification. Cancers. 13(5). 991–991. 31 indexed citations
8.
Liu, Fangfang, et al.. (2021). Abstract PS6-36: The formation of GCs in cancer-free ALNs, a non-monotonic prognostic factor in HR-negative invasive breast cancer patients. Cancer Research. 81(4_Supplement). PS6–36. 1 indexed citations
9.
Tovey, Holly, Jelmar Quist, Syed Haider, et al.. (2020). Assessment of structural chromosomal instability phenotypes as biomarkers of carboplatin response in triple negative breast cancer: the TNT trial. Annals of Oncology. 32(1). 58–65. 17 indexed citations
10.
Shah, Vandna, Jelmar Quist, Carolina Salinas-Souza, et al.. (2020). Abstract P4-06-05: Heterogeneity of DCIS does not appear to be a biomarker for development of subsequent invasive cancer. Cancer Research. 80(4_Supplement). P4–6. 1 indexed citations
11.
Ng, Joseph, Jelmar Quist, Anita Grigoriadis, Michael H. Malim, & Franca Fraternali. (2019). Pan-cancer transcriptomic analysis dissects immune and proliferative functions of APOBEC3 cytidine deaminases. Nucleic Acids Research. 47(3). 1178–1194. 39 indexed citations
12.
13.
Quist, Jelmar, Hasan Mirza, Maggie C.U. Cheang, et al.. (2018). A Four-gene Decision Tree Signature Classification of Triple-negative Breast Cancer: Implications for Targeted Therapeutics. Molecular Cancer Therapeutics. 18(1). 204–212. 20 indexed citations
14.
Starrett, Gabriel J., Jelmar Quist, Nuri A. Temiz, et al.. (2016). Mutation Processes in 293-Based Clones Overexpressing the DNA Cytosine Deaminase APOBEC3B. PLoS ONE. 11(5). e0155391–e0155391. 23 indexed citations
15.
Shaw, Paul, Geraint T. Williams, Jelmar Quist, et al.. (2016). Functional redundancy between Apc and Apc2 regulates tissue homeostasis and prevents tumorigenesis in murine mammary epithelium. Oncogene. 36(13). 1793–1803. 23 indexed citations
16.
Spencer‐Dene, Bradley, et al.. (2016). The KDM5B demethylase in the normal and malignant mammary gland. European Journal of Cancer. 61. S29–S30. 1 indexed citations
17.
Reed, Karen R., Christine M. Daly, Peter X. Shaw, et al.. (2016). Functional redundancy between Apc and Apc2 regulates tissue homeostasis and prevents tumourigenesis in murine mammary epithelium. European Journal of Cancer. 61. S52–S53. 8 indexed citations
18.
Scott, Ian C., Frühling Rijsdijk, Jemma Walker, et al.. (2015). Do Genetic Susceptibility Variants Associate with Disease Severity in Early Active Rheumatoid Arthritis?. The Journal of Rheumatology. 42(7). 1131–1140. 19 indexed citations
19.
Kendrick, Howard, Qiong Gao, Andrew Tutt, et al.. (2015). Mouse mammary stem cells express prognostic markers for triple-negative breast cancer. Breast Cancer Research. 17(1). 31–31. 31 indexed citations
20.
Hochachka, Peter W., B. Murphy, G. C. Liggins, et al.. (1979). Unusual maternal–fetal blood glucose concentrations in Weddell seal. Nature. 277(5695). 388–389. 9 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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