Hiroshi Nishina

15.3k total citations · 4 hit papers
164 papers, 11.6k citations indexed

About

Hiroshi Nishina is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Hiroshi Nishina has authored 164 papers receiving a total of 11.6k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Molecular Biology, 56 papers in Cell Biology and 25 papers in Oncology. Recurrent topics in Hiroshi Nishina's work include Hippo pathway signaling and YAP/TAZ (38 papers), Liver physiology and pathology (19 papers) and Melanoma and MAPK Pathways (17 papers). Hiroshi Nishina is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (38 papers), Liver physiology and pathology (19 papers) and Melanoma and MAPK Pathways (17 papers). Hiroshi Nishina collaborates with scholars based in Japan, Canada and United States. Hiroshi Nishina's co-authors include Josef Penninger, Teiji Wada, Hiroki Yoshida, Tak W. Mak, Erwin F. Wagner, Tomoki Nakashima, Toshiaki Katada, Hiroshi Takayanagi, Sunhwa Kim and Tatsuhiko Kodama and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Hiroshi Nishina

162 papers receiving 11.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Induction and Activation of the Transcription Factor NFATc1 (NFAT2) Integrate RANKL Signaling in Terminal Differentiation of Osteoclasts

2002 2.2k citations Hiroshi Nishina, Hiroki Yoshida et al. profile →
RANKL–RANK signaling in osteoclastogenesis and bone disease

2005 946 citations Hiroshi Nishina, Josef Penninger et al. profile →
Estrogen Prevents Bone Loss via Estrogen Receptor α and Induction of Fas Ligand in Osteoclasts

2007 777 citations Hiroshi Nishina et al. profile →
Autoamplification of NFATc1 expression determines its essential role in bone homeostasis

2005 731 citations Hiroshi Nishina, Hiroki Yoshida et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hiroshi Nishina Japan	48	7.4k	3.3k	2.0k	1.7k	1.4k	164	11.6k
Bart O. Williams United States	62	11.2k 1.5×	5.6k 1.7×	1.0k 0.5×	1.9k 1.1×	1.5k 1.1×	148	15.5k
Young‐Yun Kong South Korea	44	9.2k 1.2×	4.7k 1.4×	3.3k 1.7×	2.3k 1.4×	1.3k 0.9×	115	13.8k
Aristidis Moustakas Sweden	68	13.1k 1.8×	5.7k 1.7×	1.3k 0.7×	3.5k 2.1×	1.5k 1.1×	161	17.8k
Hongbing Zhang China	49	5.6k 0.8×	1.5k 0.5×	1.1k 0.5×	1.6k 1.0×	673 0.5×	197	9.2k
Masafumi Tsujimoto Japan	59	6.8k 0.9×	2.1k 0.6×	2.2k 1.1×	1.1k 0.6×	1.0k 0.8×	191	11.0k
Carl Blobel United States	72	8.0k 1.1×	5.6k 1.7×	2.8k 1.4×	2.7k 1.6×	1.5k 1.1×	148	16.2k
Lester F. Lau United States	75	15.9k 2.1×	2.0k 0.6×	3.4k 1.7×	1.7k 1.0×	1.3k 0.9×	154	20.9k
Beatrice Nico Italy	59	6.0k 0.8×	2.0k 0.6×	1.8k 0.9×	1.4k 0.8×	1.1k 0.8×	236	10.8k
Yasufumi Sato Japan	55	7.3k 1.0×	1.8k 0.6×	907 0.5×	2.4k 1.4×	1.4k 1.0×	261	11.1k
Mieke Dewerchin Belgium	50	6.6k 0.9×	1.6k 0.5×	1.1k 0.6×	3.6k 2.1×	896 0.7×	131	11.9k

Countries citing papers authored by Hiroshi Nishina

Since Specialization

Citations

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

Fields of papers citing papers by Hiroshi Nishina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Nishina

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

All Works

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20 of 20 papers shown

Pu, Jing, Satoshi Kofuji, Keiko Danzaki, et al.. (2023). Lethal Phenotype-Based Database Screening Identifies Ceramide as a Negative Regulator of Primitive Streak Formation. Stem Cells. 41(12). 1142–1156. 1 indexed citations

Arakawa, Satoko, Satoshi Kofuji, Hiroshi Nishina, et al.. (2023). Development of small fluorescent probes for the analysis of autophagy kinetics. iScience. 26(7). 107218–107218. 8 indexed citations

Nishio, Miki, Junji Otani, Toshiko Sakuma, et al.. (2022). Hippo-TAZ signaling is the master regulator of the onset of triple-negative basal-like breast cancers. Proceedings of the National Academy of Sciences. 119(29). e2123134119–e2123134119. 14 indexed citations

Kofuji, Satoshi, et al.. (2021). YAP drives cell competition by activating choline metabolism. Biochemical and Biophysical Research Communications. 572. 178–184. 6 indexed citations

Maruyama, Junichi, Kaori Honda, Yasumitsu Kondoh, et al.. (2021). CSE1L promotes nuclear accumulation of transcriptional coactivator TAZ and enhances invasiveness of human cancer cells. Journal of Biological Chemistry. 297(1). 100803–100803. 14 indexed citations

Maehama, Tomohiko, Miki Nishio, Junji Otani, et al.. (2021). Alantolactone is a natural product that potently inhibits YAP1/TAZ through promotion of reactive oxygen species accumulation. Cancer Science. 112(10). 4303–4316. 22 indexed citations

Omori, Hirofumi, Miki Nishio, Muneyuki Masuda, et al.. (2020). YAP1 is a potent driver of the onset and progression of oral squamous cell carcinoma. Science Advances. 6(12). eaay3324–eaay3324. 91 indexed citations

Hashimoto, Koshi, Xunmei Yuan, Kazutaka Tsujimoto, et al.. (2020). Targeted DNA demethylation of the Fgf21 promoter by CRISPR/dCas9-mediated epigenome editing. Scientific Reports. 10(1). 5181–5181. 26 indexed citations

Nishio, Miki, Tomohiko Maehama, Junji Otani, et al.. (2020). Endogenous YAP1 activation drives immediate onset of cervical carcinoma in situ in mice. Cancer Science. 111(10). 3576–3587. 24 indexed citations

10.

Kamimura, Kenya, Kohei Ogawa, Ryosuke Inoue, et al.. (2018). Effect of histidine on sorafenib-induced vascular damage: Analysis using novel medaka fish model. Biochemical and Biophysical Research Communications. 496(2). 556–561. 10 indexed citations

11.

Maruyama, Junichi, Hiroaki Iwasa, Kentaro Nakagawa, et al.. (2017). Novel YAP1 Activator, Identified by Transcription-Based Functional Screen, Limits Multiple Myeloma Growth. Molecular Cancer Research. 16(2). 197–211. 25 indexed citations

12.

Nakayama, Koh, et al.. (2013). Acetylcholine receptors regulate gene expression that is essential for primitive streak formation in murine embryoid bodies. Biochemical and Biophysical Research Communications. 435(3). 447–453. 9 indexed citations

13.

Hata, Shoji, Jun Hirayama, Hiroaki Kajiho, et al.. (2012). A Novel Acetylation Cycle of Transcription Co-activator Yes-associated Protein That Is Downstream of Hippo Pathway Is Triggered in Response to SN2 Alkylating Agents. Journal of Biological Chemistry. 287(26). 22089–22098. 79 indexed citations

14.

Terai, Shuji, Naoki Yamamoto, Koichi Uchida, et al.. (2012). Granulocyte Colony-Stimulating Factor and Interleukin-1β are Important Cytokines in Repair of the Cirrhotic Liver after Bone Marrow Cell Infusion: Comparison of Humans and Model Mice. Cell Transplantation. 21(11). 2363–2375. 9 indexed citations

15.

Okada, Ken, Akihide Kamiya, Keiichi Ito, et al.. (2011). Prospective Isolation and Characterization of Bipotent Progenitor Cells in Early Mouse Liver Development. Stem Cells and Development. 21(7). 1124–1133. 27 indexed citations

16.

Matsumoto, Toshihiko, Shuji Terai, Koichi Fujisawa, et al.. (2010). Medaka as a model for human nonalcoholic steatohepatitis. Disease Models & Mechanisms. 3(7-8). 431–440. 60 indexed citations

17.

Kubota, Junko, Jun Hirayama, Yoko Nagai, et al.. (2010). p38 Mitogen-Activated Protein Kinase Controls a Switch Between Cardiomyocyte and Neuronal Commitment of Murine Embryonic Stem Cells by Activating Myocyte Enhancer Factor 2C-Dependent Bone Morphogenetic Protein 2 Transcription. Stem Cells and Development. 19(11). 1723–1734. 38 indexed citations

18.

Hirayama, Jun, et al.. (2010). A Common Origin: Signaling Similarities in the Regulation of the Circadian Clock and DNA Damage Responses. Biological and Pharmaceutical Bulletin. 33(4). 535–544. 35 indexed citations

19.

Yokoyama, Yuichiro, Shuji Terai, Tsuyoshi Ishikawa, et al.. (2006). Proteomic analysis of serum marker proteins in recipient mice with liver cirrhosis after bone marrow cell transplantation. PROTEOMICS. 6(8). 2564–2570. 12 indexed citations

20.

Yoshida, Hiroki, Hiroshi Nishina, Hiroaki Takimoto, et al.. (1998). The Transcription Factor NF-ATc1 Regulates Lymphocyte Proliferation and Th2 Cytokine Production. Immunity. 8(1). 115–124. 300 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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