Caleb M. Phillips
Impact in
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
Papers in
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- Mathematical Biology Tumor Growth 7
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- Cancer Genomics and Diagnostics 2
- Co-authors
- Thomas E. Yankeelov (8 shared papers)Ernesto A. B. F. Lima (7 shared papers)David A. Hormuth (4 shared papers)Guillermo Lorenzo (3 shared papers)Chengyue Wu (3 shared papers)Amy Brock (2 shared papers)John M. Virostko (2 shared papers)Debra Patt (1 shared paper)
- Journals
- PLoS Computational Biology (2 papers)Biotechnology and Bioengineering (1 paper)Organometallics (1 paper)Cancers (1 paper)Journal of Computational Science (1 paper)
- Partner nations
- United StatesItalySpain
In The Last Decade
Caleb M. Phillips
10 papers receiving 277 citations
Peers
Comparison fields: 5 of 68
- Modeling and Simulation 104
- Health Informatics 11
- Cancer Research 48
- Biophysics 16
- Radiology, Nuclear Medicine and Imaging 57
Countries citing papers authored by Caleb M. Phillips
This map shows the geographic impact of Caleb M. Phillips'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 Caleb M. Phillips with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caleb M. Phillips more than expected).
Fields of papers citing papers by Caleb M. Phillips
This network shows the impact of papers produced by Caleb M. Phillips. 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 Caleb M. Phillips. The network helps show where Caleb M. Phillips may publish in the future.
Co-authors
The 25 scholars most cited alongside Caleb M. Phillips, 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 | 2022 | 87 | |
| 2 | 2020 | 52 | |
| 3 | 2021 | 40 | |
| 4 | 2020 | 29 | |
| 5 | 2021 | 26 | |
| 6 | 2020 | 26 | |
| 7 | 2022 | 6 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 4 |
About Caleb M. Phillips
Caleb M. Phillips is a scholar working on Modeling and Simulation, Cancer Research, Cell Biology, Molecular Biology and Biophysics, having authored 10 papers that have together received 280 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (7 papers), Angiogenesis and VEGF in Cancer (3 papers), Gene Regulatory Network Analysis (2 papers), Cancer Genomics and Diagnostics (2 papers), Cancer Cells and Metastasis (2 papers), Cellular Mechanics and Interactions (2 papers), Catalytic C–H Functionalization Methods (1 paper) and Advanced Mathematical Modeling in Engineering (1 paper). The work is most often cited by research in Modeling and Simulation (104 citations), Health Informatics (11 citations), Cancer Research (48 citations), Biophysics (16 citations) and Radiology, Nuclear Medicine and Imaging (57 citations). Caleb M. Phillips has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Thomas E. Yankeelov, Ernesto A. B. F. Lima, David A. Hormuth, Guillermo Lorenzo, Chengyue Wu, Amy Brock, John M. Virostko, Debra Patt, Julie C. DiCarlo and Angela M. Jarrett. Their work appears in journals such as PLoS Computational Biology, Biotechnology and Bioengineering, Organometallics, Cancers and Journal of Computational Science.
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.