Caleb M. Phillips
Impact in
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth
Papers in
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- Mathematical Biology Tumor Growth 7
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- Angiogenesis and VEGF in Cancer 3
- Gene Regulatory Network Analysis 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 Virostko (2 shared papers)Angela M. Jarrett (4 shared papers)
- Journals
- PLoS Computational Biology (2 papers)Journal of Computational Science (1 paper)Biotechnology and Bioengineering (1 paper)iScience (1 paper)Cancers (1 paper)
- Partner nations
- United StatesItalySpain
In The Last Decade
Caleb M. Phillips
10 papers receiving 253 citations
Peers
Comparison fields: 5 of 66
- Modeling and Simulation 94
- Health Informatics 10
- Cancer Research 42
- Radiology, Nuclear Medicine and Imaging 55
- Biophysics 15
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 | 75 | |
| 2 | 2020 | 49 | |
| 3 | 2021 | 39 | |
| 4 | 2020 | 28 | |
| 5 | 2020 | 25 | |
| 6 | 2021 | 21 | |
| 7 | 2023 | 5 | |
| 8 | 2022 | 5 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 4 |
About Caleb M. Phillips
Caleb M. Phillips is a scholar working on Modeling and Simulation, Molecular Biology, Cancer Research, Oncology and Cell Biology, having authored 10 papers that have together received 255 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (7 papers), Angiogenesis and VEGF in Cancer (3 papers), Cancer Genomics and Diagnostics (2 papers), Cancer Cells and Metastasis (2 papers), Gene Regulatory Network Analysis (2 papers), Cellular Mechanics and Interactions (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Advanced Mathematical Modeling in Engineering (1 paper). The work is most often cited by research in Modeling and Simulation (94 citations), Health Informatics (10 citations), Cancer Research (42 citations), Radiology, Nuclear Medicine and Imaging (55 citations) and Biophysics (15 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 Virostko, Angela M. Jarrett, Julie C. DiCarlo and Caroline Chung. Their work appears in journals such as PLoS Computational Biology, Journal of Computational Science, Biotechnology and Bioengineering, iScience and Cancers.
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.