Morio Umeno
Impact in
- Pharmacology top 0.2%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
- Oncology top 10%
- Drug Transport and Resistance Mechanisms
- Cancer Treatment and Pharmacology
Papers in
-
- Molecular Biology Techniques and Applications 2
- DNA Repair Mechanisms 1
- Epigenetics and DNA Methylation 1
- Oncology 4
- Drug Transport and Resistance Mechanisms 4
- Co-authors
- Frank J. Gonzalez (5 shared papers)Harry V. Gelboin (4 shared papers)Urs Meyer (2 shared papers)James P. Hardwick (2 shared papers)O. Wesley McBride (3 shared papers)Shioko Kimura (1 shared paper)Daniel W. Nebert (1 shared paper)Ulrich M. Zanger (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (1 paper)Journal of Molecular Evolution (1 paper)Gene (1 paper)The Journal of Biochemistry (1 paper)Nature (1 paper)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Morio Umeno
9 papers receiving 993 citations
Morio Umeno's Hit Papers
Peers
Comparison fields: 5 of 77
- Pharmacology 673
- Oncology 330
- Biochemistry 85
- Cancer Research 106
- Clinical Biochemistry 42
Countries citing papers authored by Morio Umeno
This map shows the geographic impact of Morio Umeno'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 Morio Umeno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Morio Umeno more than expected).
Fields of papers citing papers by Morio Umeno
This network shows the impact of papers produced by Morio Umeno. 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 Morio Umeno. The network helps show where Morio Umeno may publish in the future.
Co-authors
The 24 scholars most cited alongside Morio Umeno, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Characterization of the common genetic defect in humans deficient in debrisoquine metabolism Hit paper breakdown → | 1988 | 548 |
| 2 | 1988 | 165 | |
| 3 | 1988 | 148 | |
| 4 | 1990 | 63 | |
| 5 | 1987 | 58 | |
| 6 | 1983 | 41 | |
| 7 | 1983 | 6 | |
| 8 | 1985 | 2 | |
| 9 | 1996 | 2 | |
| 10 | 1992 | 1 |
About Morio Umeno
Morio Umeno is a scholar working on Molecular Biology, Oncology, Pharmacology, Epidemiology and Infectious Diseases, having authored 10 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Molecular Biology Techniques and Applications (2 papers), DNA Repair Mechanisms (1 paper), Epigenetics and DNA Methylation (1 paper), Cancer Genomics and Diagnostics (1 paper), Liver Diseases and Immunity (1 paper) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Pharmacology (673 citations), Oncology (330 citations), Biochemistry (85 citations), Cancer Research (106 citations) and Clinical Biochemistry (42 citations). Morio Umeno has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Frank J. Gonzalez, Harry V. Gelboin, Urs Meyer, James P. Hardwick, O. Wesley McBride, Shioko Kimura, Daniel W. Nebert, Ulrich M. Zanger, Chung S. Yang and Eiji Matsunaga. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Molecular Evolution, Gene, The Journal of Biochemistry and Nature.
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.