Gerald M. Higa

44 papers receiving 533 citations

Peers

Gerald M. Higa
Comparison fields: 5 of 87
  • Oncology 198
  • Family Practice 10
  • Geriatrics and Gerontology 18
  • Cancer Research 45
  • Genetics 33
Replace Andrea Li Ann Wong with:
Andrea Li Ann Wong Singapore
Sojiro Kusumoto Japan
Hiroo Makimoto Japan
Antonio J. Quesada Spain
Sandra Bien Germany
Silvio Ken Garattini Italy
Joep Kitzen Netherlands
Amy A. Drobish United States
Helen J. Ambrose United Kingdom
Carmelo Blanquicett United States
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Citations per field
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Citations per year

Countries citing papers authored by Gerald M. Higa

Since Specialization
Citations

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

Fields of papers citing papers by Gerald M. Higa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerald M. Higa. 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 Gerald M. Higa. The network helps show where Gerald M. Higa may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007108
2 200947
3 201342
4 200632
5
Alterations in aminoglycoside pharmacokinetics in patients with cancer.
198731
6 200831
7 199123
8 201923
9 199518
10 201018
11 201615
12 201014
13 199910
14 200910
15 200910
16 20059
17 20109
18
Concordance between substance P levels and antiemetic guidelines.
20098
19 20147
20 20167

About Gerald M. Higa

Gerald M. Higa is a scholar working on Oncology, Genetics, Cancer Research, Dermatology and Cell Biology, having authored 49 papers that have together received 568 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (11 papers), HER2/EGFR in Cancer Research (10 papers), Cancer Treatment and Pharmacology (7 papers), Breast Cancer Treatment Studies (6 papers), Nausea and vomiting management (5 papers), Microtubule and mitosis dynamics (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Advanced Breast Cancer Therapies (4 papers). The work is most often cited by research in Oncology (198 citations), Family Practice (10 citations), Geriatrics and Gerontology (18 citations), Cancer Research (45 citations) and Genetics (33 citations). Gerald M. Higa has collaborated with scholars based in United States, Indonesia and Malaysia. Frequent co-authors include Jame Abraham, Miklos L Auber, Walter Murray, Abraham Sebastian Kanate, Michael E. Trigg, Xue Feng, Gerry R. Hobbs, Xi Tan, Usha Sambamoorthi and E. B. Crowell. Their work appears in journals such as Expert Review of Anticancer Therapy, American Journal of Health-System Pharmacy, Annals of Pharmacotherapy, Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy and Expert Opinion on Pharmacotherapy.

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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