Kazuhiro Nakamura

15.4k citations
303 papers · 11.4k indexed · 2 hit papers · h-index 53

Kazuhiro Nakamura

288 papers receiving 11.3k citations

Hit Papers

Central Mechanisms for...2851997202620062016250500750

Peers

Kazuhiro Nakamura
Comparison fields: 5 of 185
  • Endocrine and Autonomic Systems 2.3k
  • Behavioral Neuroscience 496
  • Physiology 2.8k
  • Sensory Systems 468
  • Cellular and Molecular Neuroscience 1.6k
Replace Kazuhiro Takahashi with:
Kazuhiro Takahashi Japan
Jean‐Pierre Timmermans Belgium
Michael A. Moskowitz United States
Yoshihiro Urade Japan
Zhong Chen China
Takeshi Kaneko Japan
Charles Kennedy United Kingdom
Andrej A. Romanovsky United States
Dirk M. Hermann Germany
Juan M. Guerrero Spain
Kazuhiro Nakamura relative to Kazuhiro Takahashi Japan Kazuhiro Takahashi's profile →
Citations per field
00.5×1.7×
Kazuhiro Takahashi · 1×
Citations per year

Countries citing papers authored by Kazuhiro Nakamura

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Kazuhiro Nakamura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kazuhiro Nakamura Line = papers co-authored together Kazuhiro Nakamura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 20250
3 20235
4 202221
5 20224
6 202122
7 201722
8 201616
9 201616
10 20141
11 2010200
12 20086
13 20071
14 2005154
15 2003257
16 20021
17 200213
18 2002126
19
Multi-Cycle Path Detection Based on Propositional Satisfiability with CNF Simplification Using Adaptive Variable Insertion
20005
20
Timing verification of sequential logic circuits based on controlled multi-clock path analysis
19981

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), Circadian rhythm and melatonin (25 papers), Speech and Audio Processing (15 papers), Sleep and Wakefulness Research (15 papers), Speech Recognition and Synthesis (15 papers), Wheat and Barley Genetics and Pathology (15 papers) and Receptor Mechanisms and Signaling (14 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.

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