Colin Phipps

584 citations
19 papers · 430 indexed · h-index 13

Impact in

Papers in

Colin Phipps

19 papers receiving 421 citations

Peers

Colin Phipps
Comparison fields: 5 of 93
  • Modeling and Simulation 28
  • Oncology 149
  • Radiology, Nuclear Medicine and Imaging 99
  • Molecular Biology 177
  • Genetics 27
Replace Sarah Giacometti with:
Sarah Giacometti France
Hanna Dillekås Norway
Hongling Zhang China
Lori Rice United States
Qun Li China
Shintaro Saito Japan
Federico Cucchiara Italy
Jiawen Dai China
Hyo Sook Song South Korea
Hardik Mody United States
Colin Phipps relative to Sarah Giacometti France Sarah Giacometti's profile →
Citations per field
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Citations per year

Countries citing papers authored by Colin Phipps

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Colin Phipps Line = papers co-authored together Colin Phipps links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 20245
2 20232
3 202329
4 20224
5 202166
6 202041
7 201826
8 201844
9 201725
10 201735
11 201732
12 201640
13 201614
14 201414
15 20141
16 201327
17 201122
18
Toward a model of language acquisition threshold
20061
19 20062

About Colin Phipps

Colin Phipps is a scholar working on Modeling and Simulation, Software, Oncology, Algebra and Number Theory and Cancer Research, having authored 19 papers that have together received 430 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Mathematical Biology Tumor Growth (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Cancer Treatment and Pharmacology (2 papers), Protein Degradation and Inhibitors (2 papers) and Protein purification and stability (2 papers). The work is most often cited by research in Modeling and Simulation (28 citations), Oncology (149 citations), Radiology, Nuclear Medicine and Imaging (99 citations), Molecular Biology (177 citations) and Genetics (27 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, Kenneth R. Durbin, Xiaoli Liao, Jonathan Blay, Diana Clausznitzer and Aaron Goldman. Their work appears in journals such as Drug Metabolism and Disposition, Journal of Pharmacokinetics and Pharmacodynamics, Molecular Cancer Therapeutics, Scientific Reports and Journal of the American Society of Hypertension.

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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