Alex Phipps

1.1k citations
37 papers · 793 · 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 770 citations

Peers

Alex Phipps
Comparison fields: 5 of 87
  • Pharmacology 262
  • Oncology 294
  • Health Informatics 9
  • Statistics and Probability 56
  • Modeling and Simulation 26
Replace Jin Y. Jin with:
Jin Y. Jin United States
Marylore Chenel France
Alain Munafo Switzerland
Dinesh P. de Alwis United States
Chee M. Ng United States
Satjit Brar United States
Rhys D.O. Jones United Kingdom
Edna F. Choo United States
Malidi Ahamadi United States
Sheila Annie Peters Germany
Alex Phipps relative to Jin Y. Jin United States Jin Y. Jin's profile →
Citations per field
00.5×1.5×
Jin Y. Jin · 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 2009167
2 200870
3 201859
4 201654
5 202348
6 201945
7 201640
8 201839
9 201638
10 202128
11 201726
12 201622
13 202320
14 201016
15 201615
16 202013
17 202113
18 201111
19 202110
20 20169

About Alex Phipps

Alex Phipps is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Immunology and Pharmacology, having authored 37 papers that have together received 793 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (10 papers), Cancer Immunotherapy and Biomarkers (5 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), Monoclonal and Polyclonal Antibodies Research (3 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Pharmacology (262 citations), Oncology (294 citations), Health Informatics (9 citations), Statistics and Probability (56 citations) and Modeling and Simulation (26 citations). Alex Phipps has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Kuresh Youdim, Odette A. Fahmi, Maurice Dickins, Amanda Darekar, Susan Hurst, R. Scott Obach, Jack Cook, David R. Plowchalk, Ruth Hyland and Feng Guo. Their work appears in journals such as CPT Pharmacometrics & Systems Pharmacology, Clinical Pharmacology & Therapeutics, Journal of Clinical Oncology, Cancer Chemotherapy and Pharmacology and Investigational New Drugs.

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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