Naoyoshi Chino
- Microbiology top 2%
- Antimicrobial Peptides and Activities 7
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- Neuropeptides and Animal Physiology 6
- Reproductive Medicine top 5%
- Molecular Biology top 10%
- Chemical Synthesis and Analysis 14
- Receptor Mechanisms and Signaling 8
- Nicotinic Acetylcholine Receptors Study 5
- Physiology top 10%
- Nitric Oxide and Endothelin Effects 6
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- Electron Spin Resonance Studies 5
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- Peptidase Inhibition and Analysis 4
- Co-authors
- Shumpei SakakibaraKenji KangawaTerutoshi KimuraHisayuki MatsuoShigeru KuboNaoto MinaminoShigeru MatsukuraTakushi X. Watanabe
- Journals
- Biochemistry (4 papers)Biochemical and Biophysical Research Communications (11 papers)FEBS Letters (2 papers)
- Partner nations
- JapanFranceUnited States
In The Last Decade
Naoyoshi Chino
48 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 102
- Microbiology 273
- Cellular and Molecular Neuroscience 483
- Reproductive Medicine 123
- Molecular Biology 963
- Physiology 43
Countries citing papers authored by Naoyoshi Chino
This map shows the geographic impact of Naoyoshi Chino'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 Naoyoshi Chino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoyoshi Chino more than expected).
Fields of papers citing papers by Naoyoshi Chino
This network shows the impact of papers produced by Naoyoshi Chino. 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 Naoyoshi Chino. The network helps show where Naoyoshi Chino may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Naoyoshi Chino, 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 | 2005 | 36 | |
| 2 | 2003 | 67 | |
| 3 | 2002 | 3 | |
| 4 | 2000 | 64 | |
| 5 | 1999 | 3 | |
| 6 | 1998 | 126 | |
| 7 | 1998 | 52 | |
| 8 | 1998 | 131 | |
| 9 | 1996 | 28 | |
| 10 | 1995 | 26 | |
| 11 | 1995 | 41 | |
| 12 | Simultaneous video tape dual-layer coating technology | 1992 | 3 |
| 13 | 1991 | 87 | |
| 14 | 1990 | 42 | |
| 15 | 1989 | 103 | |
| 16 | 1988 | 6 | |
| 17 | 1988 | 30 | |
| 18 | 1987 | 8 | |
| 19 | 1985 | 1 | |
| 20 | 1979 | 31 |
About Naoyoshi Chino
Naoyoshi Chino is a scholar working on Microbiology, Biophysics and Physiology, having authored 48 papers that have together received 1.5k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (14 papers), Receptor Mechanisms and Signaling (8 papers), Antimicrobial Peptides and Activities (7 papers), Nitric Oxide and Endothelin Effects (6 papers), Neuropeptides and Animal Physiology (6 papers), Electron Spin Resonance Studies (5 papers), Nicotinic Acetylcholine Receptors Study (5 papers) and Peptidase Inhibition and Analysis (4 papers). The work is most often cited by research in Microbiology (273 citations), Cellular and Molecular Neuroscience (483 citations) and Reproductive Medicine (123 citations). Naoyoshi Chino has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Shumpei Sakakibara, Kenji Kangawa, Terutoshi Kimura, Hisayuki Matsuo, Shigeru Kubo, Naoto Minamino, Shigeru Matsukura, Takushi X. Watanabe, Masamitsu Nakazato and Yukari Date. Their work appears in journals such as Biochemistry, Biochemical and Biophysical Research Communications and FEBS Letters.
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.