Hitoshi Okazawa

8.5k total citations · 1 hit paper
116 papers, 4.5k citations indexed

About

Hitoshi Okazawa is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Hitoshi Okazawa has authored 116 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Molecular Biology, 64 papers in Cellular and Molecular Neuroscience and 18 papers in Physiology. Recurrent topics in Hitoshi Okazawa's work include Genetic Neurodegenerative Diseases (46 papers), Mitochondrial Function and Pathology (30 papers) and RNA Research and Splicing (20 papers). Hitoshi Okazawa is often cited by papers focused on Genetic Neurodegenerative Diseases (46 papers), Mitochondrial Function and Pathology (30 papers) and RNA Research and Splicing (20 papers). Hitoshi Okazawa collaborates with scholars based in Japan, United States and Germany. Hitoshi Okazawa's co-authors include Ichiro Kanazawa, Hiroshi Hamada, Koji Okamoto, Kazuhiko Tagawa, Masami Muramatsu, Masaharu Sakai, Akihiko Okuda, Yasushi Enokido, Takuya Tamura and Hiroki Shiwaku and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Hitoshi Okazawa

114 papers receiving 4.4k citations

Hit Papers

A novel octamer binding transcription factor is different... 1990 2026 2002 2014 1990 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
Hitoshi Okazawa Japan 34 3.1k 1.4k 693 615 364 116 4.5k
Elena I. Rugarli Germany 39 4.4k 1.4× 1.1k 0.8× 566 0.8× 584 0.9× 791 2.2× 80 5.8k
Brett Langley United States 31 3.6k 1.1× 882 0.7× 588 0.8× 558 0.9× 388 1.1× 45 4.4k
Santosh R. D’Mello United States 38 3.3k 1.1× 1.6k 1.2× 731 1.1× 592 1.0× 380 1.0× 92 4.9k
Yuji Owada Japan 40 2.8k 0.9× 1.0k 0.8× 291 0.4× 620 1.0× 425 1.2× 178 5.1k
Philippe Ravassard France 36 2.8k 0.9× 1.6k 1.2× 1.8k 2.6× 387 0.6× 411 1.1× 100 5.9k
Laura Conforti United States 40 2.7k 0.9× 1.6k 1.2× 285 0.4× 583 0.9× 489 1.3× 119 5.3k
Michal Hetman United States 39 2.8k 0.9× 1.7k 1.3× 386 0.6× 617 1.0× 620 1.7× 82 4.9k
Hiroyuki Sakagami Japan 39 3.0k 1.0× 1.7k 1.2× 486 0.7× 498 0.8× 1.0k 2.8× 182 5.0k
Miguel Lafarga Spain 40 3.6k 1.2× 962 0.7× 595 0.9× 398 0.6× 485 1.3× 174 5.8k
Roman Chrast Switzerland 35 1.8k 0.6× 1.1k 0.8× 275 0.4× 560 0.9× 538 1.5× 70 3.3k

Countries citing papers authored by Hitoshi Okazawa

Since Specialization
Citations

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

Fields of papers citing papers by Hitoshi Okazawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hitoshi Okazawa

This figure shows the co-authorship network connecting the top 25 collaborators of Hitoshi Okazawa. A scholar is included among the top collaborators of Hitoshi Okazawa 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 Okazawa. Hitoshi Okazawa 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.
Nemoto, Yasuhiro, Shigeru Oshima, Takashi Nagaishi, et al.. (2025). Intestinal CD4−CD8αβ−TCRαβ+ T cells function as tolerogenic antigen presenting cells in mice. Nature Communications. 16(1). 7072–7072.
2.
Nakayama, Minoru, Shinsuke Kato, Kōichi Sato, et al.. (2024). Loss of function of VCP/TER94 causes neurodegeneration. Disease Models & Mechanisms. 17(12). 1 indexed citations
3.
Homma, Hidenori, Kyota Fujita, Shinichi Shirai, et al.. (2024). Dynamic molecular network analysis of iPSC-Purkinje cells differentiation delineates roles of ISG15 in SCA1 at the earliest stage. Communications Biology. 7(1). 413–413. 2 indexed citations
4.
Huang, Yong, Xiaocen Jin, Kien Xuan Ngo, et al.. (2024). PQBP3 prevents senescence by suppressing PSME3-mediated proteasomal Lamin B1 degradation. The EMBO Journal. 43(18). 3968–3999.
5.
Homma, Hidenori, Hikari Tanaka, Kyota Fujita, & Hitoshi Okazawa. (2024). Necrosis Links Neurodegeneration and Neuroinflammation in Neurodegenerative Disease. International Journal of Molecular Sciences. 25(7). 3636–3636. 11 indexed citations
6.
Fujita, Kyota, Hidenori Homma, Meihua Jin, et al.. (2023). Mutant α-synuclein propagates via the lymphatic system of the brain in the monomeric state. Cell Reports. 42(8). 112962–112962. 6 indexed citations
7.
Jin, Xiaocen, Hikari Tanaka, Meihua Jin, et al.. (2023). PQBP5/NOL10 maintains and anchors the nucleolus under physiological and osmotic stress conditions. Nature Communications. 14(1). 9–9. 25 indexed citations
8.
Jin, Meihua, Hiroki Shiwaku, Hikari Tanaka, et al.. (2021). Tau activates microglia via the PQBP1-cGAS-STING pathway to promote brain inflammation. Nature Communications. 12(1). 6565–6565. 140 indexed citations
9.
Fujita, Kyota, Xigui Chen, Hidenori Homma, et al.. (2018). Targeting Tyro3 ameliorates a model of PGRN-mutant FTLD-TDP via tau-mediated synaptic pathology. Nature Communications. 9(1). 433–433. 23 indexed citations
10.
Hayashi, Kanehiro, Kyota Fujita, Kazuhiko Tagawa, et al.. (2018). Drebrin-like (Dbnl) Controls Neuronal Migration via Regulating N-Cadherin Expression in the Developing Cerebral Cortex. Journal of Neuroscience. 39(4). 678–691. 18 indexed citations
11.
Mao, Yingwei, Xigui Chen, Min Xu, et al.. (2016). Targeting TEAD/YAP-transcription-dependent necrosis, TRIAD, ameliorates Huntington’s disease pathology. Human Molecular Genetics. 25(21). ddw303–ddw303. 32 indexed citations
12.
Shiwaku, Hiroki & Hitoshi Okazawa. (2015). Impaired DNA Damage Repair as a Common Feature of Neurodegenerative Diseases and Psychiatric Disorders. Current Molecular Medicine. 15(2). 119–128. 33 indexed citations
13.
Mizuguchi, Mineyuki, Hiroyuki Shinoda, Tomoyasu Aizawa, et al.. (2010). Polyglutamine tract-binding protein-1 binds to U5-15kD via a continuous 23-residue segment of the C-terminal domain. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1804(7). 1500–1507. 14 indexed citations
14.
Ito, Hikaru, Natsue Yoshimura, Masaru Kurosawa, et al.. (2009). Knock-down of PQBP1 impairs anxiety-related cognition in mouse. Human Molecular Genetics. 18(22). 4239–4254. 24 indexed citations
16.
Wada, Yoichi, et al.. (2005). PQBP‐1 is expressed predominantly in the central nervous system during development. European Journal of Neuroscience. 22(6). 1277–1286. 29 indexed citations
17.
Okuda, Tomohiro, Kazuhiko Tagawa, Mei‐Ling Qi, et al.. (2004). Oct-3/4 repression accelerates differentiation of neural progenitor cells in vitro and in vivo. Molecular Brain Research. 132(1). 18–30. 47 indexed citations
18.
Busch, Anne, Sabine Engemann, Rudi Lurz, et al.. (2003). Mutant Huntingtin Promotes the Fibrillogenesis of Wild-type Huntingtin. Journal of Biological Chemistry. 278(42). 41452–41461. 102 indexed citations
19.
Okazawa, Hitoshi. (2003). Polyglutamine diseases: a transcription disorder?. Cellular and Molecular Life Sciences. 60(7). 1427–1439. 70 indexed citations
20.
Okazawa, Hitoshi, et al.. (1993). Molecular cloning and expression of a novel truncated form of chicken trkC. FEBS Letters. 329(1-2). 171–177. 17 indexed citations

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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