Colin Phipps
Impact in
- Modeling and Simulation top 10%
- Mathematical Biology Tumor Growth
-
- HER2/EGFR in Cancer Research
Papers in
-
- Protein Degradation and Inhibitors 2
- Angiogenesis and VEGF in Cancer 2
- Oncology 8
- HER2/EGFR in Cancer Research 4
- Cancer Treatment and Pharmacology 2
- Drug Transport and Resistance Mechanisms 2
- Co-authors
- Mohammad Kohandel (5 shared papers)Andrea N. Edginton (3 shared papers)Paul Malik (2 shared papers)J. Cory Kalvass (3 shared papers)Hamid R. Molavian (2 shared papers)Volker Nimmrich (1 shared paper)Herbert H. Engelhard (1 shared paper)Xiaoli Liao (1 shared paper)
- Journals
- Drug Metabolism and Disposition (3 papers)Journal of Pharmacokinetics and Pharmacodynamics (2 papers)Journal of the American Society of Hypertension (1 paper)Advanced Drug Delivery Reviews (1 paper)Drug Discovery Today Technologies (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Colin Phipps
19 papers receiving 442 citations
Peers
Comparison fields: 5 of 92
- Modeling and Simulation 28
- Oncology 142
- Radiology, Nuclear Medicine and Imaging 87
- Biomaterials 34
- Molecular Biology 167
Countries citing papers authored by Colin Phipps
This map shows the geographic impact of Colin Phipps'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 Colin Phipps with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Colin Phipps more than expected).
Fields of papers citing papers by Colin Phipps
This network shows the impact of papers produced by Colin Phipps. 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 Colin Phipps. The network helps show where Colin Phipps may publish in the future.
Co-authors
The 25 scholars most cited alongside Colin Phipps, 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 | 2021 | 72 | |
| 2 | 2020 | 45 | |
| 3 | 2018 | 44 | |
| 4 | 2016 | 40 | |
| 5 | 2017 | 36 | |
| 6 | 2023 | 34 | |
| 7 | 2017 | 33 | |
| 8 | 2018 | 28 | |
| 9 | 2013 | 27 | |
| 10 | 2017 | 25 | |
| 11 | 2011 | 23 | |
| 12 | 2016 | 15 | |
| 13 | 2014 | 14 | |
| 14 | 2024 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2006 | 2 | |
| 17 | 2023 | 2 | |
| 18 | Toward a model of language acquisition threshold | 2006 | 1 |
| 19 | 2014 | 1 |
About Colin Phipps
Colin Phipps is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Cancer Research and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 452 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), HER2/EGFR in Cancer Research (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Mathematical Biology Tumor Growth (2 papers), Protein Degradation and Inhibitors (2 papers), Cancer Treatment and Pharmacology (2 papers), Drug Transport and Resistance Mechanisms (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Modeling and Simulation (28 citations), Oncology (142 citations), Radiology, Nuclear Medicine and Imaging (87 citations), Biomaterials (34 citations) and Molecular Biology (167 citations). Colin Phipps has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Mohammad Kohandel, Andrea N. Edginton, Paul Malik, J. Cory Kalvass, Hamid R. Molavian, Volker Nimmrich, Herbert H. Engelhard, Xiaoli Liao, Kenneth R. Durbin and Edit Tarcsa. Their work appears in journals such as Drug Metabolism and Disposition, Journal of Pharmacokinetics and Pharmacodynamics, Journal of the American Society of Hypertension, Advanced Drug Delivery Reviews and Drug Discovery Today Technologies.
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.