Michiko Kawamoto
- Oncology top 2%
- Pediatrics, Perinatology and Child Health top 2%
- Molecular Biology
- Infectious Diseases top 5%
- Pharmacology top 1%
- Co-authors
- Kathleen M. GiacominiThomas E. FerrinSusan J. JohnsConrad C. HuangElaine J. CarlsonTravis R. TaylorDoug StrykeIra Herskowitz
- Topics
- Drug Transport and Resistance Mechanisms (17 papers)Metabolism and Genetic Disorders (8 papers)Amino Acid Enzymes and Metabolism (6 papers)
- Cited by
- OncologyPharmacologyTransplantation
- Journals
- Proceedings of the National Academy of SciencesPharmacological ReviewsJournal of Pharmacology and Experimental Therapeutics
- Partner nations
- United StatesJapanFrance
In The Last Decade
Michiko Kawamoto
27 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 97
- Oncology 1.1k
- Pediatrics, Perinatology and Child Health 523
- Molecular Biology 451
- Infectious Diseases 272
- Pharmacology 266
Countries citing papers authored by Michiko Kawamoto
This map shows the geographic impact of Michiko Kawamoto'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 Michiko Kawamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michiko Kawamoto more than expected).
Fields of papers citing papers by Michiko Kawamoto
This network shows the impact of papers produced by Michiko Kawamoto. 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 Michiko Kawamoto. The network helps show where Michiko Kawamoto may publish in the future.
Co-authorship network of co-authors of Michiko Kawamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Michiko Kawamoto. A scholar is included among the top collaborators of Michiko Kawamoto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michiko Kawamoto. Michiko Kawamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 88 | |
| 3 | 23 | |
| 4 | 40 | |
| 5 | 2 | |
| 6 | 15 | |
| 7 | 2 | |
| 8 | 145 | |
| 9 | 42 | |
| 10 | 30 | |
| 11 | 81 | |
| 12 | 78 | |
| 13 | 42 | |
| 14 | 70 | |
| 15 | 4 | |
| 16 | 352 | |
| 17 | 55 | |
| 18 | 180 | |
| 19 | 153 | |
| 20 | 2 |
About Michiko Kawamoto
Michiko Kawamoto is a scholar working on Physiology, Clinical Biochemistry and Biochemistry, having authored 27 papers that have together received 1.7k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (17 papers), Metabolism and Genetic Disorders (8 papers) and Amino Acid Enzymes and Metabolism (6 papers). The work is most often cited by research in Oncology (1.1k citations), Pharmacology (266 citations) and Transplantation (82 citations). Michiko Kawamoto has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Kathleen M. Giacomini, Thomas E. Ferrin, Susan J. Johns, Conrad C. Huang, Elaine J. Carlson, Travis R. Taylor, Doug Stryke, Ira Herskowitz, Joseph DeYoung and Andrew G. Clark. Their work appears in journals such as Proceedings of the National Academy of Sciences, Pharmacological Reviews and Journal of Pharmacology and Experimental 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.