Jason T. George

1.8k citations
35 papers · 1.0k indexed · h-index 16
Topics
Cancer Cells and Metastasis (15 papers)T-cell and B-cell Immunology (8 papers)Mathematical Biology Tumor Growth (7 papers)

In The Last Decade

Jason T. George

33 papers receiving 1.0k citations

Peers

Jason T. George
Comparison fields: 5 of 92
  • Molecular Biology 531
  • Oncology 463
  • Cancer Research 296
  • Immunology 137
  • Cell Biology 119
Replace Marı́a Virumbrales-Muñoz with:
Marı́a Virumbrales-Muñoz United States
Gudrun Dandekar Germany
Susan Breslin Ireland
Louis‐Bastien Weiswald France
Virginie Dangles-Marie France
Douglas A. Chapnick United States
Miriam Zimmermann United Kingdom
Xian Xu United States
Abisola Abisoye-Ogunniyan United States
Sarah Nietzer Germany
Jason T. George relative to Marı́a Virumbrales-Muñoz United States Marı́a Virumbrales-Muñoz's profile →
Citations per field
00.5×
Marı́a Virumbrales-Muñoz · 1×
Citations per year

Countries citing papers authored by Jason T. George

Since Specialization
Citations

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

Fields of papers citing papers by Jason T. George

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason T. George

This figure shows the co-authorship network connecting the top 25 collaborators of Jason T. George. A scholar is included among the top collaborators of Jason T. George 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 T. George. Jason T. George 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
#WorkIndexed citations
1 0
2 1
3 1
4 4
5 15
6 1
7 8
8 1
9 15
10 35
11 21
12 69
13 104
14 97
15 12
16
Spleen tyrosine kinase-mediated autophagy is required for epithelial-mesenchymal plasticity and metastasis in breast cancer
1
17 57
18 20
19 170
20 59

About Jason T. George

Jason T. George is a scholar working on Modeling and Simulation, Oncology and Immunology, having authored 35 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (15 papers), T-cell and B-cell Immunology (8 papers) and Mathematical Biology Tumor Growth (7 papers). The work is most often cited by research in Molecular Medicine (108 citations), Cancer Research (296 citations) and Modeling and Simulation (82 citations). Jason T. George has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Herbert Levine, Mohit Kumar Jolly, Jason A. Somarelli, Shengnan Xu, Jeehyun Park, José N. Onuchic, Melissa A. Grunlan, Federico Bocci, S. C. Tripathi and Samir Hanash. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer Research and Oncogene.

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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