Hitoshi Nakayama
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 1%
- Physiology top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Immunology top 5%
- Co-authors
- Yuichi KanaokaAkihiko KuniyasuKazuhisa IwabuchiKenji TakamoriSeikoh HoriuchiHideoki OgawaChihiro IwaharaNobutaka Ohgami
- Topics
- Nicotinic Acetylcholine Receptors Study (35 papers)Ion channel regulation and function (33 papers)Receptor Mechanisms and Signaling (19 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Hitoshi Nakayama
215 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Molecular Biology 3.8k
- Cellular and Molecular Neuroscience 1.4k
- Physiology 851
- Cardiology and Cardiovascular Medicine 655
- Immunology 644
Countries citing papers authored by Hitoshi Nakayama
This map shows the geographic impact of Hitoshi Nakayama'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 Hitoshi Nakayama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hitoshi Nakayama more than expected).
Fields of papers citing papers by Hitoshi Nakayama
This network shows the impact of papers produced by Hitoshi Nakayama. 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 Hitoshi Nakayama. The network helps show where Hitoshi Nakayama may publish in the future.
Co-authorship network of co-authors of Hitoshi Nakayama
This figure shows the co-authorship network connecting the top 25 collaborators of Hitoshi Nakayama. A scholar is included among the top collaborators of Hitoshi Nakayama 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 Hitoshi Nakayama. Hitoshi Nakayama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 8 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 50 | |
| 6 | 33 | |
| 7 | 21 | |
| 8 | 127 | |
| 9 | 1 | |
| 10 | 27 | |
| 11 | 7 | |
| 12 | 52 | |
| 13 | 114 | |
| 14 | 9 | |
| 15 | 24 | |
| 16 | 9 | |
| 17 | 21 | |
| 18 | 36 | |
| 19 | STUDIES ON ALTERNATION OF NICOTINE METABOLIZING ENZYME ACTIVITIES IN VARIOUS SPECIES. (8) : EFFECT OF ADMINISTRATION ROUTE ON RAT | 2 |
| 20 | 6 |
About Hitoshi Nakayama
Hitoshi Nakayama is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology, having authored 222 papers that have together received 6.9k indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (35 papers), Ion channel regulation and function (33 papers) and Receptor Mechanisms and Signaling (19 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Clinical Biochemistry (427 citations) and Molecular Biology (3.8k citations). Hitoshi Nakayama has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Yuichi Kanaoka, Akihiko Kuniyasu, Kazuhisa Iwabuchi, Kenji Takamori, Seikoh Horiuchi, Hideoki Ogawa, Chihiro Iwahara, Nobutaka Ohgami, Kohichi Kawahara and W. Dalton Dietrich. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.