Gohachiro Miyamoto

586 citations
35 papers · 485 indexed · h-index 12

Gohachiro Miyamoto

35 papers receiving 460 citations

Peers

Gohachiro Miyamoto
Comparison fields: 5 of 96
  • Pharmacology 140
  • Pharmacology 128
  • Analytical Chemistry 61
  • Oncology 122
  • Biochemistry 25
Replace Zbyněk Svoboda with:
Zbyněk Svoboda Czechia
D. Tang–Liu United States
Leon Shargel United States
Kikuo Iwamoto Japan
W. Dieterle Switzerland
Joseph N. Miceli United States
Srikumaran Melethil United States
Y. Shiobara United Kingdom
Thomas M. Twomey United States
Yoji Tokuma Japan
Gohachiro Miyamoto relative to Zbyněk Svoboda Czechia Zbyněk Svoboda's profile →
Citations per field
00.5×1.5×
Zbyněk Svoboda · 1×
Citations per year

Countries citing papers authored by Gohachiro Miyamoto

Since Specialization
Citations

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

Fields of papers citing papers by Gohachiro Miyamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200567
2 20056
3 20044
4 200444
5 20023
6 200213
7 20021
8 20009
9 200022
10 20001
11 200010
12 19997
13 199924
14 19934
15 19901
16 198812
17 19861
18 198316
19
Pharmacokinetics of procaterol in the rat, rabbit and beagle dog.
197912
20 19789

About Gohachiro Miyamoto

Gohachiro Miyamoto is a scholar working on Pharmacology, Pharmacology, Toxicology, Oncology and Pediatrics, Perinatology and Child Health, having authored 35 papers that have together received 485 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (14 papers), Pharmacogenetics and Drug Metabolism (14 papers), Antibiotics Pharmacokinetics and Efficacy (9 papers), Drug-Induced Hepatotoxicity and Protection (7 papers), Cancer therapeutics and mechanisms (5 papers), Pharmacological Effects and Toxicity Studies (4 papers), Bioactive Compounds and Antitumor Agents (2 papers) and Neonatal Health and Biochemistry (2 papers). The work is most often cited by research in Pharmacology (140 citations), Pharmacology (128 citations), Analytical Chemistry (61 citations), Oncology (122 citations) and Biochemistry (25 citations). Gohachiro Miyamoto has collaborated with scholars based in Japan, Spain and United States. Frequent co-authors include Jack Uetrecht, Nasir Zahid, Yoshihiko Shimokawa, Ken Umehara, Hitoshi Akiyama, Hiroyuki Sasabe, Eiji Kashiyama, Shoji Kudo, Masaaki Odomi and Toshihisa Koga. Their work appears in journals such as Xenobiotica, Biological and Pharmaceutical Bulletin, Drug Metabolism and Disposition, Journal of Pharmacology and Experimental Therapeutics and The Journal of Clinical Pharmacology.

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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