Jonathan Sagotsky
Impact in
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth
-
- Microtubule and mitosis dynamics
- Cellular Mechanics and Interactions
Papers in
-
- Gene Regulatory Network Analysis 4
- Bioinformatics and Genomic Networks 4
- Gene expression and cancer classification 1
-
- Mathematical Biology Tumor Growth 5
- Co-authors
- Thomas S. Deisboeck (9 shared papers)Zhihui Wang (4 shared papers)Le Zhang (3 shared papers)Christina M. Birch (1 shared paper)Zhiwei Wang (1 shared paper)Seán Martin (1 shared paper)Thomas J. Taylor (1 shared paper)Zhihui Wang (1 shared paper)
- Journals
- Bioinformatics (1 paper)Molecular Systems Biology (1 paper)WIREs Systems Biology and Medicine (1 paper)Journal of Mathematical Biology (1 paper)Mathematical Medicine and Biology A Journal of the IMA (1 paper)
- Partner nations
- United States
In The Last Decade
Jonathan Sagotsky
9 papers receiving 314 citations
Peers
Comparison fields: 5 of 80
- Modeling and Simulation 178
- Cell Biology 62
- Information Systems and Management 23
- Oncology 71
- Molecular Biology 173
Countries citing papers authored by Jonathan Sagotsky
This map shows the geographic impact of Jonathan Sagotsky'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 Jonathan Sagotsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Sagotsky more than expected).
Fields of papers citing papers by Jonathan Sagotsky
This network shows the impact of papers produced by Jonathan Sagotsky. 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 Jonathan Sagotsky. The network helps show where Jonathan Sagotsky may publish in the future.
Co-authors
The 8 scholars most cited alongside Jonathan Sagotsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 111 | |
| 2 | 2007 | 80 | |
| 3 | 2009 | 61 | |
| 4 | 2008 | 28 | |
| 5 | 2010 | 27 | |
| 6 | 2012 | 11 | |
| 7 | Simulating cancer growth with agent-based models | 2010 | 2 |
| 8 | 2010 | 1 | |
| 9 | Professional Networks in the Life Sciences: Linking the Linked | 2010 | 1 |
About Jonathan Sagotsky
Jonathan Sagotsky is a scholar working on Molecular Biology, Modeling and Simulation, Information Systems and Management, Communication and Health, having authored 9 papers that have together received 322 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (5 papers), Gene Regulatory Network Analysis (4 papers), Bioinformatics and Genomic Networks (4 papers), Scientific Computing and Data Management (2 papers), Research Data Management Practices (1 paper), Computational Drug Discovery Methods (1 paper), Gene expression and cancer classification (1 paper) and Lung Cancer Treatments and Mutations (1 paper). The work is most often cited by research in Modeling and Simulation (178 citations), Cell Biology (62 citations), Information Systems and Management (23 citations), Oncology (71 citations) and Molecular Biology (173 citations). Jonathan Sagotsky has collaborated with scholars based in United States. Frequent co-authors include Thomas S. Deisboeck, Zhihui Wang, Le Zhang, Christina M. Birch, Zhiwei Wang, Seán Martin, Thomas J. Taylor and Zhihui Wang. Their work appears in journals such as Bioinformatics, Molecular Systems Biology, WIREs Systems Biology and Medicine, Journal of Mathematical Biology and Mathematical Medicine and Biology A Journal of the IMA.
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.