M Tani
Impact in
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
- Treatment of Major Depression
- Oncology top 10%
- Drug Transport and Resistance Mechanisms
- Metal complexes synthesis and properties
Papers in
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- Protein Kinase Regulation and GTPase Signaling 3
-
- Pharmacogenetics and Drug Metabolism 8
- Co-authors
- Kazuhiro Chiba (10 shared papers)Takashi Ishizaki (8 shared papers)H Echizen (3 shared papers)Kaoru Kobayashi (3 shared papers)Kazuo Kobayashi (2 shared papers)Tetsuya Kamataki (1 shared paper)Eriko Koyama (2 shared papers)Yukio Kuroiwa (2 shared papers)
- Journals
- Journal of Pharmacology and Experimental Therapeutics (4 papers)British Journal of Clinical Pharmacology (4 papers)Oncology Reports (2 papers)Free Radical Research (2 papers)Neuroradiology (1 paper)
- Partner nations
- JapanIndiaUnited States
In The Last Decade
M Tani
38 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 97
- Pharmacology 427
- Oncology 306
- Biochemistry 76
- Pharmacology 136
- Spectroscopy 112
Countries citing papers authored by M Tani
This map shows the geographic impact of M Tani'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 M Tani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Tani more than expected).
Fields of papers citing papers by M Tani
This network shows the impact of papers produced by M Tani. 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 M Tani. The network helps show where M Tani may publish in the future.
Co-authors
The 25 scholars most cited alongside M Tani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 128 | |
| 2 | 1995 | 101 | |
| 3 | 1994 | 79 | |
| 4 | 2001 | 76 | |
| 5 | 1995 | 74 | |
| 6 | 1996 | 56 | |
| 7 | 1998 | 55 | |
| 8 | 1999 | 52 | |
| 9 | 1994 | 44 | |
| 10 | 1993 | 40 | |
| 11 | 1993 | 33 | |
| 12 | 1973 | 32 | |
| 13 | 1972 | 31 | |
| 14 | 1984 | 29 | |
| 15 | 2000 | 28 | |
| 16 | 1999 | 26 | |
| 17 | 1983 | 22 | |
| 18 | 1998 | 22 | |
| 19 | 1974 | 17 | |
| 20 | 1975 | 16 |
About M Tani
M Tani is a scholar working on Molecular Biology, Pharmacology, Organic Chemistry, Pharmacology and Cellular and Molecular Neuroscience, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Analytical Chemistry and Chromatography (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Metabolism and Genetic Disorders (3 papers), Amino Acid Enzymes and Metabolism (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Crystal structures of chemical compounds (3 papers). The work is most often cited by research in Pharmacology (427 citations), Oncology (306 citations), Biochemistry (76 citations), Pharmacology (136 citations) and Spectroscopy (112 citations). M Tani has collaborated with scholars based in Japan, India and United States. Frequent co-authors include Kazuhiro Chiba, Takashi Ishizaki, H Echizen, Kaoru Kobayashi, Kazuo Kobayashi, Tetsuya Kamataki, Eriko Koyama, Yukio Kuroiwa, Toshinori Yamamoto and Katsuhiko Yoshimoto. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, British Journal of Clinical Pharmacology, Oncology Reports, Free Radical Research and Neuroradiology.
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.