May Garrett

1.0k citations
23 papers · 665 · h-index 14

Impact in

Papers in

May Garrett

22 papers receiving 657 citations

Peers

May Garrett
Comparison fields: 5 of 67
  • Pulmonary and Respiratory Medicine 376
  • Cancer Research 153
  • Hematology 113
  • Oncology 266
  • Genetics 89
Replace Karel Eechoute with:
Karel Eechoute Netherlands
Anusha Vakiti United States
Masahide Fukudo Japan
Jennifer Arrondeau France
Alex L.T. Imholz Netherlands
Marina D. Kaymakcalan United States
Sachin Shah United States
M.S. Gordon United States
Stefanie L. Groenland Netherlands
Yasuhito Fujisaka Japan
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Citations per field
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Citations per year

Countries citing papers authored by May Garrett

Since Specialization
Citations

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

Fields of papers citing papers by May Garrett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013117
2 201399
3 200966
4 200960
5 201053
6 200940
7 201236
8 201031
9 201926
10 201523
11 201321
12 201517
13 201116
14 201014
15 201413
16 20119
17
A phase I mass-balance study to evaluate the metabolism and excretion of [14C]-sunitinib (SU11248) in healthy male subjects
20076
18 20176
19 20235
20
Effect of food on the pharmacokinetics of Axitinib (AG-013736) in healthy volunteers
20083

About May Garrett

May Garrett is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Hematology, Molecular Biology and Genetics, having authored 23 papers that have together received 665 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (8 papers), Chronic Myeloid Leukemia Treatments (7 papers), Lung Cancer Treatments and Mutations (6 papers), Pancreatic and Hepatic Oncology Research (4 papers), Colorectal Cancer Treatments and Studies (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Acute Lymphoblastic Leukemia research (3 papers) and Pharmacogenetics and Drug Metabolism (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (376 citations), Cancer Research (153 citations), Hematology (113 citations), Oncology (266 citations) and Genetics (89 citations). May Garrett has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Yazdi K. Pithavala, Brian Hee, Karen J. Klamerus, Michael A. Tortorici, Melvin Toh, Ying Chen, Janice P. Dutcher, Olivier Rixe, Brian I. Rini and Walter M. Stadler. Their work appears in journals such as Cancer Chemotherapy and Pharmacology, Journal of Clinical Oncology, Investigational New Drugs, The Journal of Clinical Pharmacology and Clinical Pharmacology & Therapeutics.

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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