Hiroyuki Nawa

16.3k total citations · 4 hit papers
185 papers, 13.4k citations indexed

About

Hiroyuki Nawa is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Developmental Neuroscience. According to data from OpenAlex, Hiroyuki Nawa has authored 185 papers receiving a total of 13.4k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Cellular and Molecular Neuroscience, 95 papers in Molecular Biology and 35 papers in Developmental Neuroscience. Recurrent topics in Hiroyuki Nawa's work include Nerve injury and regeneration (47 papers), Neuroscience and Neuropharmacology Research (45 papers) and Receptor Mechanisms and Signaling (40 papers). Hiroyuki Nawa is often cited by papers focused on Nerve injury and regeneration (47 papers), Neuroscience and Neuropharmacology Research (45 papers) and Receptor Mechanisms and Signaling (40 papers). Hiroyuki Nawa collaborates with scholars based in Japan, United States and Sweden. Hiroyuki Nawa's co-authors include Shigetada Nakanishi, Nobuyuki Takei, Josette Carnahan, Ryuichi Shigemoto, Noboru Mizuno, Yuriko Iwakura, Hitoshi Takahashi, Toshiyuki Someya, Paul H. Patterson and Hisaaki Namba and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Hiroyuki Nawa

183 papers receiving 13.1k citations

Hit Papers

Molecular characterization of a novel metabotropic glutam... 1983 2026 1997 2011 1992 2003 1983 1993 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hiroyuki Nawa Japan 62 8.5k 6.2k 2.5k 1.4k 1.3k 185 13.4k
Dan Lindholm Finland 66 9.4k 1.1× 6.5k 1.1× 4.8k 1.9× 2.1k 1.5× 845 0.7× 201 16.6k
Hilmar Bading Germany 52 8.2k 1.0× 8.1k 1.3× 1.2k 0.5× 1.8k 1.3× 1.4k 1.1× 134 13.9k
Mike Dragunow New Zealand 72 9.2k 1.1× 7.4k 1.2× 2.2k 0.9× 2.7k 1.9× 1.7k 1.3× 231 18.2k
Soren Impey United States 54 5.4k 0.6× 7.0k 1.1× 1.4k 0.6× 1.6k 1.1× 1.4k 1.1× 81 13.1k
Jean‐Antoine Girault France 73 9.6k 1.1× 8.8k 1.4× 1.2k 0.5× 1.3k 0.9× 1.6k 1.3× 229 16.4k
Julie A. Blendy United States 52 5.2k 0.6× 5.2k 0.8× 814 0.3× 1.4k 1.0× 1.6k 1.3× 143 11.1k
Zhen Yan United States 68 8.5k 1.0× 7.5k 1.2× 921 0.4× 1.7k 1.2× 3.0k 2.3× 214 15.6k
Barbara L. Hempstead United States 70 13.6k 1.6× 8.1k 1.3× 6.1k 2.4× 2.7k 1.9× 1.8k 1.4× 136 21.7k
Stephen J. Moss United Kingdom 85 14.1k 1.7× 11.5k 1.9× 1.2k 0.5× 1.7k 1.2× 2.5k 2.0× 236 20.4k
Martin Körte Germany 53 6.3k 0.7× 4.9k 0.8× 2.9k 1.1× 3.3k 2.3× 1.5k 1.2× 142 13.2k

Countries citing papers authored by Hiroyuki Nawa

Since Specialization
Citations

This map shows the geographic impact of Hiroyuki Nawa'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 Hiroyuki Nawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroyuki Nawa more than expected).

Fields of papers citing papers by Hiroyuki Nawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hiroyuki Nawa. 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 Hiroyuki Nawa. The network helps show where Hiroyuki Nawa may publish in the future.

Co-authorship network of co-authors of Hiroyuki Nawa

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroyuki Nawa. A scholar is included among the top collaborators of Hiroyuki Nawa 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 Hiroyuki Nawa. Hiroyuki Nawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Nawa, Hiroyuki, et al.. (2025). Neurobiology of COVID‐19‐Associated Psychosis/Schizophrenia: Implication of Epidermal Growth Factor Receptor Signaling. Neuropsychopharmacology Reports. 45(1). e12520–e12520. 1 indexed citations
3.
Sotoyama, Hidekazu, Hisaaki Namba, Manavu Tohmi, & Hiroyuki Nawa. (2023). Schizophrenia Animal Modeling with Epidermal Growth Factor and Its Homologs: Their Connections to the Inflammatory Pathway and the Dopamine System. Biomolecules. 13(2). 372–372. 11 indexed citations
4.
Takahashi, Masahiko, Hiroki Kitaura, Akiyoshi Kakita, et al.. (2022). USP10 Inhibits Aberrant Cytoplasmic Aggregation of TDP-43 by Promoting Stress Granule Clearance. Molecular and Cellular Biology. 42(3). e0039321–e0039321. 15 indexed citations
5.
Takei, Nobuyuki, Daisaku Yokomaku, Takaho Yamada, et al.. (2022). EGF Downregulates Presynaptic Maturation and Suppresses Synapse Formation In Vitro and In Vivo. Neurochemical Research. 47(9). 2632–2644. 3 indexed citations
7.
Iwakura, Yuriko, Hisaaki Namba, Hidekazu Sotoyama, et al.. (2021). Inter‐breeder differences in prepulse inhibition deficits of C57BL/6J mice in a maternal immune activation model. Neuropsychopharmacology Reports. 41(3). 416–421. 13 indexed citations
8.
Nawa, Hiroyuki, et al.. (2019). AMPK activation, eEF2 inactivation, and reduced protein synthesis in the cerebral cortex of hibernating chipmunks. Scientific Reports. 9(1). 11904–11904. 11 indexed citations
9.
Takahashi, Masahiko, Hiroki Kitaura, Akiyoshi Kakita, et al.. (2018). USP10 Is a Driver of Ubiquitinated Protein Aggregation and Aggresome Formation to Inhibit Apoptosis. iScience. 9. 433–450. 37 indexed citations
10.
Furukawa, Kazuo, Ichiro Fuse, Yuriko Iwakura, et al.. (2017). Advanced glycation end products induce brain-derived neurotrophic factor release from human platelets through the Src-family kinase activation. Cardiovascular Diabetology. 16(1). 20–20. 9 indexed citations
11.
Wang, Ran, Yuriko Iwakura, Kazuaki Araki, et al.. (2013). ErbB2 Dephosphorylation and Anti-Proliferative Effects of Neuregulin-1 in ErbB2-Overexpressing Cells; Re-evaluation of Their Low-Affinity Interaction. Scientific Reports. 3(1). 1402–1402. 8 indexed citations
13.
14.
Abe, Yuichi, Hisaaki Namba, Yingjun Zheng, & Hiroyuki Nawa. (2009). In situ hybridization reveals developmental regulation of ErbB1-4 mRNA expression in mouse midbrain: Implication of ErbB receptors for dopaminergic neurons. Neuroscience. 161(1). 95–110. 82 indexed citations
15.
Mizuno, Makoto, Hidekazu Sotoyama, Hiroki Kawamura, et al.. (2007). A Cyclooxygenase-2 Inhibitor Ameliorates Behavioral Impairments Induced by Striatal Administration of Epidermal Growth Factor. Journal of Neuroscience. 27(38). 10116–10127. 33 indexed citations
16.
Futamura, Takashi, Akiyoshi Kakita, Manavu Tohmi, et al.. (2003). Neonatal perturbation of neurotrophic signaling results in abnormal sensorimotor gating and social interaction in adults: implication for epidermal growth factor in cognitive development. Molecular Psychiatry. 8(1). 19–29. 96 indexed citations
17.
18.
Nawa, Hiroyuki, Yasumasa Bessho, Josette Carnahan, Shigetada Nakanishi, & Keiko Mizuno. (1993). Regulation of Neuropeptide Expression in Cultured Cerebral Cortical Neurons by Brain‐Derived Neurotrophic Factor. Journal of Neurochemistry. 60(2). 772–775. 165 indexed citations
19.
Bessho, Yasumasa, Hiroyuki Nawa, & Shigetada Nakanishi. (1993). Glutamate and Quisqualate Regulate Expression of Metabotropic Glutamate Receptor mRNA in Cultured Cerebellar Granule Cells. Journal of Neurochemistry. 60(1). 253–259. 40 indexed citations
20.

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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