Kazuhito Noguchi
- Physiology top 1%
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Cellular and Molecular Neuroscience top 10%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Toshihiko SaekiTakahiro FukurodaMasaru NishikibeMitsuo YanoSonoko TsuchidaMasaki IharaTakehiro FukamiToshiaki Mase
- Topics
- Receptor Mechanisms and Signaling (14 papers)Nitric Oxide and Endothelin Effects (10 papers)Neuropeptides and Animal Physiology (10 papers)
- Journals
- Proceedings of the National Academy of SciencesBiochemical and Biophysical Research CommunicationsJournal of Applied Physiology
- Partner nations
- JapanUnited StatesNorway
In The Last Decade
Kazuhito Noguchi
27 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Physiology 1.4k
- Molecular Biology 797
- Cardiology and Cardiovascular Medicine 633
- Cellular and Molecular Neuroscience 222
- Pulmonary and Respiratory Medicine 220
Countries citing papers authored by Kazuhito Noguchi
This map shows the geographic impact of Kazuhito Noguchi'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 Kazuhito Noguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuhito Noguchi more than expected).
Fields of papers citing papers by Kazuhito Noguchi
This network shows the impact of papers produced by Kazuhito Noguchi. 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 Kazuhito Noguchi. The network helps show where Kazuhito Noguchi may publish in the future.
Co-authorship network of co-authors of Kazuhito Noguchi
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuhito Noguchi. A scholar is included among the top collaborators of Kazuhito Noguchi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kazuhito Noguchi. Kazuhito Noguchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 51 | |
| 4 | 12 | |
| 5 | 56 | |
| 6 | 31 | |
| 7 | 12 | |
| 8 | 10 | |
| 9 | 8 | |
| 10 | 22 | |
| 11 | 17 | |
| 12 | 39 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 27 | |
| 16 | Biological profiles of highly potent novel endothelin antagonists selective for the ETA receptorbreakdown → | 774 |
| 17 | 2 | |
| 18 | 18 | |
| 19 | 15 | |
| 20 | 124 |
About Kazuhito Noguchi
Kazuhito Noguchi is a scholar working on Biophysics, Physiology and Cellular and Molecular Neuroscience, having authored 29 papers that have together received 2.0k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (14 papers), Nitric Oxide and Endothelin Effects (10 papers) and Neuropeptides and Animal Physiology (10 papers). The work is most often cited by research in Physiology (1.4k citations), Cardiology and Cardiovascular Medicine (633 citations) and Biophysics (150 citations). Kazuhito Noguchi has collaborated with scholars based in Japan, United States and Norway. Frequent co-authors include Toshihiko Saeki, Takahiro Fukuroda, Masaru Nishikibe, Mitsuo Yano, Sonoko Tsuchida, Masaki Ihara, Takehiro Fukami, Toshiaki Mase, Kiyofumi Ishikawa and Satoshi Ozaki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and Journal of Applied Physiology.
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.