Kazuhiro Nakamura
- Molecular Biology top 2%
- Physiology top 0.5%
- Endocrine and Autonomic Systems top 0.1%
- Immunology top 1%
- Cellular and Molecular Neuroscience top 1%
- Co-authors
- Shaun F. MorrisonJunji YodoiGary L. JohnsonHajime NakamuraTakeshi KanekoYoshiko NakamuraNaoya KataokaMasahiko Negishi
- Topics
- Neuroscience of respiration and sleep (31 papers)Adipose Tissue and Metabolism (27 papers)Circadian rhythm and melatonin (25 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Kazuhiro Nakamura
288 papers receiving 11.3k citations
Hit Papers
Peers
Comparison fields: 5 of 185
- Molecular Biology 4.0k
- Physiology 2.8k
- Endocrine and Autonomic Systems 2.3k
- Immunology 1.7k
- Cellular and Molecular Neuroscience 1.6k
Countries citing papers authored by Kazuhiro Nakamura
This map shows the geographic impact of Kazuhiro Nakamura'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 Kazuhiro Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuhiro Nakamura more than expected).
Fields of papers citing papers by Kazuhiro Nakamura
This network shows the impact of papers produced by Kazuhiro Nakamura. 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 Kazuhiro Nakamura. The network helps show where Kazuhiro Nakamura may publish in the future.
Co-authorship network of co-authors of Kazuhiro Nakamura
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuhiro Nakamura. A scholar is included among the top collaborators of Kazuhiro Nakamura 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 Kazuhiro Nakamura. Kazuhiro Nakamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 21 | |
| 5 | 4 | |
| 6 | 22 | |
| 7 | 22 | |
| 8 | 16 | |
| 9 | 16 | |
| 10 | 1 | |
| 11 | 200 | |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 154 | |
| 15 | 257 | |
| 16 | 1 | |
| 17 | 13 | |
| 18 | 126 | |
| 19 | Multi-Cycle Path Detection Based on Propositional Satisfiability with CNF Simplification Using Adaptive Variable Insertion | 5 |
| 20 | Timing verification of sequential logic circuits based on controlled multi-clock path analysis | 1 |
About Kazuhiro Nakamura
Kazuhiro Nakamura is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Physiology, having authored 303 papers that have together received 11.4k indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (31 papers), Adipose Tissue and Metabolism (27 papers) and Circadian rhythm and melatonin (25 papers). The work is most often cited by research in Endocrine and Autonomic Systems (2.3k citations), Behavioral Neuroscience (496 citations) and Physiology (2.8k citations). Kazuhiro Nakamura has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Shaun F. Morrison, Junji Yodoi, Gary L. Johnson, Hajime Nakamura, Takeshi Kaneko, Yoshiko Nakamura, Naoya Kataoka, Masahiko Negishi, Hironori Katoh and Christopher J. Madden. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of 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.