Go Kito
Impact in
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
- Inflammatory mediators and NSAID effects
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Receptor Mechanisms and Signaling 4
-
- Cardiac electrophysiology and arrhythmias 3
- Co-authors
- Ryoichi Nagata (13 shared papers)Yasuhiro Uno (7 shared papers)Tetsuya Kamataki (6 shared papers)Hideki Fujino (2 shared papers)Teruo Susumu (5 shared papers)Yuji Kuge (3 shared papers)Kazuo Minematsu (3 shared papers)Chiaki Yokota (3 shared papers)
- Journals
- Drug Metabolism and Disposition (3 papers)Hypertension Research (2 papers)Journal of Pharmacological Sciences (2 papers)Journal of Cerebral Blood Flow & Metabolism (2 papers)Life Sciences (2 papers)
- Partner nations
- JapanFranceSwitzerland
In The Last Decade
Go Kito
48 papers receiving 782 citations
Peers
Comparison fields: 5 of 96
- Pharmacology 244
- Neurology 74
- Biochemistry 63
- Endocrine and Autonomic Systems 45
- Oncology 179
Countries citing papers authored by Go Kito
This map shows the geographic impact of Go Kito'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 Go Kito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Go Kito more than expected).
Fields of papers citing papers by Go Kito
This network shows the impact of papers produced by Go Kito. 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 Go Kito. The network helps show where Go Kito may publish in the future.
Co-authors
The 25 scholars most cited alongside Go Kito, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 108 | |
| 2 | 2001 | 83 | |
| 3 | 2007 | 64 | |
| 4 | 2009 | 55 | |
| 5 | 2001 | 38 | |
| 6 | 2008 | 37 | |
| 7 | 2008 | 34 | |
| 8 | 2006 | 33 | |
| 9 | 1989 | 30 | |
| 10 | 1981 | 26 | |
| 11 | 1970 | 24 | |
| 12 | 2016 | 22 | |
| 13 | 2002 | 22 | |
| 14 | 1984 | 16 | |
| 15 | 1995 | 14 | |
| 16 | 2006 | 13 | |
| 17 | Neural mechanism for production of spasmodic expiratory response like cough induced by amygdala stimulation in the cat. I. Pathways from the amygdala to the lower brain stem. | 1977 | 13 |
| 18 | 1989 | 12 | |
| 19 | 1994 | 10 | |
| 20 | 2006 | 10 |
About Go Kito
Go Kito is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pharmacology, Organic Chemistry and Pulmonary and Respiratory Medicine, having authored 51 papers that have together received 798 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (7 papers), Respiratory and Cough-Related Research (5 papers), Neuroscience of respiration and sleep (5 papers), Receptor Mechanisms and Signaling (4 papers), Acute Ischemic Stroke Management (4 papers), Cardiac electrophysiology and arrhythmias (3 papers), Plant-based Medicinal Research (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Pharmacology (244 citations), Neurology (74 citations), Biochemistry (63 citations), Endocrine and Autonomic Systems (45 citations) and Oncology (179 citations). Go Kito has collaborated with scholars based in Japan, France and Switzerland. Frequent co-authors include Ryoichi Nagata, Yasuhiro Uno, Tetsuya Kamataki, Hideki Fujino, Teruo Susumu, Yuji Kuge, Kazuo Minematsu, Chiaki Yokota, Akira Nishimura and Y Kasé. Their work appears in journals such as Drug Metabolism and Disposition, Hypertension Research, Journal of Pharmacological Sciences, Journal of Cerebral Blood Flow & Metabolism and Life Sciences.
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.