Jason Funt

811 total citations
13 papers, 489 citations indexed

About

Jason Funt is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jason Funt has authored 13 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Jason Funt's work include Computational Drug Discovery Methods (2 papers), Colorectal Cancer Treatments and Studies (2 papers) and Cancer Treatment and Pharmacology (2 papers). Jason Funt is often cited by papers focused on Computational Drug Discovery Methods (2 papers), Colorectal Cancer Treatments and Studies (2 papers) and Cancer Treatment and Pharmacology (2 papers). Jason Funt collaborates with scholars based in Israel and United States. Jason Funt's co-authors include Dawn Thompson, Aviv Regev, Judith Berman, Darren Abbey, Theodore C. White, Toni Delorey, Luca Issi, Diego Martinez, Reeta P. Rao and Christopher B. Ford and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Jason Funt

13 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason Funt Israel 7 288 202 156 77 54 13 489
Steeve Véronneau Canada 12 222 0.8× 154 0.8× 473 3.0× 72 0.9× 35 0.6× 15 737
Renkai Li Hong Kong 13 268 0.9× 229 1.1× 160 1.0× 82 1.1× 32 0.6× 24 596
Qingjiao Liao China 11 110 0.4× 135 0.7× 181 1.2× 58 0.8× 35 0.6× 17 535
Zhongle Liu United States 17 318 1.1× 233 1.2× 360 2.3× 80 1.0× 79 1.5× 28 612
Katarzyna Owczarek Poland 11 331 1.1× 73 0.4× 170 1.1× 26 0.3× 16 0.3× 16 595
Jianzhong Cao China 12 162 0.6× 74 0.4× 197 1.3× 53 0.7× 19 0.4× 28 631
Breno de Mello Silva Brazil 16 236 0.8× 60 0.3× 146 0.9× 91 1.2× 22 0.4× 48 670
Sun-Young Chang South Korea 9 129 0.4× 103 0.5× 219 1.4× 40 0.5× 25 0.5× 14 546
Anuj Kumar India 15 62 0.2× 110 0.5× 287 1.8× 93 1.2× 17 0.3× 38 553

Countries citing papers authored by Jason Funt

Since Specialization
Citations

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

Fields of papers citing papers by Jason Funt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Funt

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

All Works

13 of 13 papers shown
1.
2.
Hall, Brett M., Anna Travesa, Amy Axel, et al.. (2022). 449 Cyclic disruption of the mitogen-activated protein kinase (MAPK) pathway by the dual MEK inhibitor, IMM-6-415, enhances PD1 and CTLA4 checkpoint blockade in RAS mutant tumors. Regular and Young Investigator Award Abstracts. A469–A469. 2 indexed citations
3.
Kim, Jason, Jenny Zhang, Yoonjeong Cha, et al.. (2020). Advanced bioinformatics rapidly identifies existing therapeutics for patients with coronavirus disease-2019 (COVID-19). Journal of Translational Medicine. 18(1). 257–257. 63 indexed citations
4.
5.
Ung, Matthew, Renan Escalante-Chong, Jenny Zhang, et al.. (2018). Integrity, standards, and QC-related issues with big data in pre-clinical drug discovery. Biochemical Pharmacology. 152. 84–93. 4 indexed citations
6.
Ung, Matthew, Kevin Fowler, Jason Funt, et al.. (2018). Abstract 1509: Cachexia: Leveraging transcriptomics to identify potential therapeutics. Cancer Research. 78(13_Supplement). 1509–1509. 1 indexed citations
7.
Ung, Matthew, Jason Funt, Andrew C. Lysaght, et al.. (2018). Abstract 5177: Metastasis: Leveraging transcriptomics to identify potential therapeutics. Cancer Research. 78(13_Supplement). 5177–5177. 1 indexed citations
8.
Fowler, Kevin, Jason Funt, Maxim N. Artyomov, et al.. (2015). Leveraging existing data sets to generate new insights into Alzheimer’s disease biology in specific patient subsets. Scientific Reports. 5(1). 14324–14324. 14 indexed citations
9.
Ford, Christopher B., Jason Funt, Darren Abbey, et al.. (2015). The evolution of drug resistance in clinical isolates of Candida albicans. eLife. 4. e00662–e00662. 245 indexed citations
10.
Kolitz, Sarah, Fadi Towfic, Jason Funt, et al.. (2015). Gene expression studies of a human monocyte cell line identify dissimilarities between differently manufactured glatiramoids. Scientific Reports. 5(1). 10191–10191. 15 indexed citations
11.
Abbey, Darren, Jason Funt, Mor N. Lurie-Weinberger, et al.. (2014). YMAP: a pipeline for visualization of copy number variation and loss of heterozygosity in eukaryotic pathogens. Genome Medicine. 6(11). 100–100. 91 indexed citations
12.
Towfic, Fadi, Jason Funt, Kevin Fowler, et al.. (2014). Comparing the Biological Impact of Glatiramer Acetate with the Biological Impact of a Generic. PLoS ONE. 9(1). e83757–e83757. 31 indexed citations
13.
Abbey, Darren, Jason Funt, Mor N. Lurie-Weinberger, et al.. (2014). Y MAP : a pipeline for visualization of copy number variation and loss of heterozygosity in eukaryotic pathogens. Genome Medicine. 6(11). 100–100. 19 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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