Masahiko Hibi

25.9k total citations · 10 hit papers
146 papers, 21.8k citations indexed

About

Masahiko Hibi is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Masahiko Hibi has authored 146 papers receiving a total of 21.8k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Molecular Biology, 53 papers in Cell Biology and 39 papers in Oncology. Recurrent topics in Masahiko Hibi's work include Zebrafish Biomedical Research Applications (40 papers), Developmental Biology and Gene Regulation (38 papers) and Cytokine Signaling Pathways and Interactions (32 papers). Masahiko Hibi is often cited by papers focused on Zebrafish Biomedical Research Applications (40 papers), Developmental Biology and Gene Regulation (38 papers) and Cytokine Signaling Pathways and Interactions (32 papers). Masahiko Hibi collaborates with scholars based in Japan, United States and South Korea. Masahiko Hibi's co-authors include Michael Karin, Toshio Hirano, Tetsuya Taga, Bing Su, Tiliang Deng, Takashi Shimizu, Tadamitsu Kishimoto, Masaaki Murakami, Tod Smeal and Roger J. Davis and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Masahiko Hibi

146 papers receiving 21.4k citations

Hit Papers

JNK1: A protein kinase stimulated by UV light and Ha-Ras ... 1989 2026 2001 2013 1994 1993 1989 1990 2000 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masahiko Hibi Japan 64 13.1k 7.0k 5.7k 2.9k 2.8k 146 21.8k
Tadashi Yamamoto Japan 77 13.2k 1.0× 5.0k 0.7× 3.3k 0.6× 2.8k 1.0× 2.1k 0.7× 400 22.4k
Tetsuo Noda Japan 80 15.6k 1.2× 2.9k 0.4× 2.7k 0.5× 2.7k 0.9× 2.6k 0.9× 260 24.3k
Rony Seger Israel 70 14.9k 1.1× 4.2k 0.6× 2.5k 0.4× 3.1k 1.1× 1.8k 0.6× 206 22.2k
Yukiko Gotoh Japan 75 19.2k 1.5× 3.8k 0.5× 2.5k 0.4× 3.9k 1.3× 2.8k 1.0× 153 25.8k
A. Ullrich Germany 92 22.5k 1.7× 9.0k 1.3× 4.3k 0.8× 3.8k 1.3× 2.6k 0.9× 193 33.0k
Keiko Nakayama Japan 71 15.7k 1.2× 6.9k 1.0× 3.7k 0.7× 2.7k 0.9× 2.5k 0.9× 286 23.3k
Lewis T. Williams United States 65 15.2k 1.2× 4.1k 0.6× 4.6k 0.8× 3.5k 1.2× 1.8k 0.6× 114 22.0k
Tetsu Akiyama Japan 67 13.0k 1.0× 4.7k 0.7× 1.8k 0.3× 3.0k 1.0× 2.0k 0.7× 264 20.0k
Brian A. Hemmings Switzerland 102 33.2k 2.5× 5.1k 0.7× 3.8k 0.7× 7.2k 2.5× 3.4k 1.2× 313 42.4k
Raphael Kopan United States 77 17.5k 1.3× 2.7k 0.4× 2.4k 0.4× 3.7k 1.3× 1.9k 0.7× 163 25.2k

Countries citing papers authored by Masahiko Hibi

Since Specialization
Citations

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

Fields of papers citing papers by Masahiko Hibi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masahiko Hibi

This figure shows the co-authorship network connecting the top 25 collaborators of Masahiko Hibi. A scholar is included among the top collaborators of Masahiko Hibi 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 Masahiko Hibi. Masahiko Hibi 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.
Hosokawa, Masakiyo, et al.. (2024). The Zebrafish Cerebellar Neural Circuits Are Involved in Orienting Behavior. eNeuro. 11(10). ENEURO.0141–24.2024. 1 indexed citations
3.
Takada, Hiroyuki, Akiko Shiraishi, Tetsuaki Kimura, et al.. (2023). A gene regulatory network combining Pax3/7, Sox10 and Mitf generates diverse pigment cell types in medaka and zebrafish. Development. 150(19). 22 indexed citations
4.
Matsuda, Kōji, Takashi Shimizu, Shoko Hososhima, et al.. (2023). Optogenetic manipulation of neuronal and cardiomyocyte functions in zebrafish using microbial rhodopsins and adenylyl cyclases. eLife. 12. 6 indexed citations
5.
6.
Hibi, Masahiko, et al.. (2019). Syntaphilin-Mediated Docking of Mitochondria at the Growth Cone Is Dispensable for Axon ElongationIn Vivo. eNeuro. 6(5). ENEURO.0026–19.2019. 9 indexed citations
7.
Hibi, Masahiko, Kōji Matsuda, Miki Takeuchi, Takashi Shimizu, & Yasunori Murakami. (2017). Evolutionary mechanisms that generate morphology and neural‐circuit diversity of the cerebellum. Development Growth & Differentiation. 59(4). 228–243. 33 indexed citations
8.
Yamaha, Etsuro, et al.. (2017). Roles of maternal wnt8a transcripts in axis formation in zebrafish. Developmental Biology. 434(1). 96–107. 26 indexed citations
9.
Chiba, Ayano, Haruko Watanabe‐Takano, Kenta Terai, et al.. (2016). Osteocrin, a peptide secreted from the heart and other tissues, contributes to cranial osteogenesis and chondrogenesis in zebrafish. Development. 144(2). 334–344. 26 indexed citations
10.
Takeuchi, Miki, Kōji Matsuda, Kazuhide Asakawa, et al.. (2014). Establishment of Gal4 transgenic zebrafish lines for analysis of development of cerebellar neural circuitry. Developmental Biology. 397(1). 1–17. 55 indexed citations
11.
Kani, Shuichi, Young‐Ki Bae, Takashi Shimizu, et al.. (2010). Proneural gene-linked neurogenesis in zebrafish cerebellum. Developmental Biology. 343(1-2). 1–17. 105 indexed citations
12.
Shimizu, Takashi, Masato Nakazawa, Shuichi Kani, et al.. (2010). Zinc finger genes Fezf1 and Fezf2 control neuronal differentiation by repressing Hes5 expression in the forebrain. Development. 137(11). 1875–1885. 64 indexed citations
13.
Bae, Young‐Ki, Shuichi Kani, Takashi Shimizu, et al.. (2009). Anatomy of zebrafish cerebellum and screen for mutations affecting its development. Developmental Biology. 330(2). 406–426. 209 indexed citations
14.
Bae, Young‐Ki, Takashi Shimizu, & Masahiko Hibi. (2005). Patterning of proneuronal and inter-proneuronal domains byhairy- andenhancer of split-related genes in zebrafish neuroectoderm. Development. 132(6). 1375–1385. 65 indexed citations
15.
Suda, Yoko, et al.. (2004). Zinc finger gene fezlike functions in the formation of subplate neurons and thalamocortical axons. Developmental Dynamics. 230(3). 546–556. 97 indexed citations
16.
Yamasaki, Satoru, Keigo Nishida, Yuichi Yoshida, et al.. (2003). Gab1 is required for EGF receptor signaling and the transformation by activated ErbB2. Oncogene. 22(10). 1546–1556. 58 indexed citations
17.
Itoh, Shousaku, Motoyuki Itoh, Keigo Nishida, et al.. (2002). Adapter Molecule Grb2-Associated Binder 1 Is Specifically Expressed in Marginal Zone B Cells and Negatively Regulates Thymus-Independent Antigen-2 Responses. The Journal of Immunology. 168(10). 5110–5116. 24 indexed citations
18.
Hirano, Toshio, Toshiyuki Fukada, Yuichi Yoshida, et al.. (1998). シンポジウム抄録. Japanese Journal of Clinical Immunology. 21(supplement). 13–21. 3 indexed citations
19.
Kim, Cheol‐Hee, Young‐Ki Bae, Yojiro Yamanaka, et al.. (1997). Overexpression of neurogenin induces ectopic expression of HuC in zebrafish. Neuroscience Letters. 239(2-3). 113–116. 67 indexed citations
20.
Dérijard, Benoit, Masahiko Hibi, I‐Huan Wu, et al.. (1994). JNK1: A protein kinase stimulated by UV light and Ha-Ras that binds and phosphorylates the c-Jun activation domain. Cell. 76(6). 1025–1037. 2892 indexed citations breakdown →

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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