Alex Phipps

1.1k citations
37 papers · 871 · h-index 15

Impact in

    • Pharmacogenetics and Drug Metabolism
  • Oncology top 10%
    • Drug Transport and Resistance Mechanisms
    • CAR-T cell therapy research

Papers in

Alex Phipps

36 papers receiving 830 citations

Peers

Alex Phipps
Comparison fields: 5 of 95
  • Pharmacology 281
  • Oncology 305
  • Statistics and Probability 65
  • Modeling and Simulation 29
  • Pharmaceutical Science 37
Replace Satjit S. Brar with:
Satjit S. Brar United States
Jenny Zheng United States
Chee M. Ng United States
Justin C. Earp United States
Bengt Hamrén Sweden
Nam Atiqur Rahman United States
Malidi Ahamadi United States
S. Y. Amy Cheung United States
Karey Kowalski United States
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Citations per field
00.5×2×2.6×
Satjit S. Brar · 1×
Citations per year

Countries citing papers authored by Alex Phipps

Since Specialization
Citations

This map shows the geographic impact of Alex 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 Alex Phipps with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Phipps more than expected).

Fields of papers citing papers by Alex Phipps

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alex 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 Alex Phipps. The network helps show where Alex Phipps may publish in the future.

Co-authors

The 25 scholars most cited alongside Alex 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 Alex Phipps Line = papers co-authored together Alex Phipps links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009178
2 200876
3 201866
4 202363
5 201658
6 201949
7 201642
8 201841
9 201639
10 201635
11 202131
12 201727
13 202324
14 202016
15 201016
16 202113
17 202113
18 201111
19 20169
20 20198

About Alex Phipps

Alex Phipps is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Pharmacology, Immunology and Genetics, having authored 37 papers that have together received 871 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (9 papers), CAR-T cell therapy research (5 papers), Lung Cancer Research Studies (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Cancer therapeutics and mechanisms (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Pharmacology (281 citations), Oncology (305 citations), Statistics and Probability (65 citations), Modeling and Simulation (29 citations) and Pharmaceutical Science (37 citations). Alex Phipps has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Kuresh A. Youdim, Maurice Dickins, Odette A. Fahmi, Susan I. Hurst, Amanda Darekar, Ronald Scott Obach, Ruth Hyland, David R. Plowchalk, Feng Jie Guo and Jack Cook. Their work appears in journals such as Clinical Pharmacology & Therapeutics, CPT Pharmacometrics & Systems Pharmacology, Drug Metabolism and Disposition, The Journal of Clinical Pharmacology and Cancer Chemotherapy and Pharmacology.

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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