Masashi Narita

30.4k total citations · 8 hit papers
104 papers, 13.1k citations indexed

About

Masashi Narita is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Masashi Narita has authored 104 papers receiving a total of 13.1k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 44 papers in Physiology and 19 papers in Epidemiology. Recurrent topics in Masashi Narita's work include Telomeres, Telomerase, and Senescence (42 papers), Genomics and Chromatin Dynamics (18 papers) and Autophagy in Disease and Therapy (16 papers). Masashi Narita is often cited by papers focused on Telomeres, Telomerase, and Senescence (42 papers), Genomics and Chromatin Dynamics (18 papers) and Autophagy in Disease and Therapy (16 papers). Masashi Narita collaborates with scholars based in United Kingdom, Japan and United States. Masashi Narita's co-authors include Shigeomi Shimizu, Andrew Young, Masako Narita, Scott W. Lowe, Matthew Hoare, Mahito Sadaie, Stephen Hearn, Rafik Salama, Gregory J. Hannon and David L. Spector and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Masashi Narita

102 papers receiving 13.0k citations

Hit Papers

5 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.

Bcl-2 family proteins regulate the release of apoptogenic cytochrome c by the mitochondrial channel VDAC

1999 1.8k citations Shigeomi Shimizu, Masashi Narita et al. profile →
Rb-Mediated Heterochromatin Formation and Silencing of E2F Target Genes during Cellular Senescence

2003 1.7k citations Masashi Narita, Masako Narita et al. profile →
Autophagy mediates the mitotic senescence transition

2009 836 citations Andrew Young, Masako Narita et al. Genes & Development profile →
Bax interacts with the permeability transition pore to induce permeability transition and cytochromecrelease in isolated mitochondria

1998 827 citations Masashi Narita, Shigeomi Shimizu et al. profile →
G-quadruplex structures mark human regulatory chromatin

2016 683 citations Robert Hänsel‐Hertsch, Aled Parry et al. profile →
Cellular senescence and its effector programs

2014 664 citations Mahito Sadaie, Matthew Hoare et al. Genes & Development profile →
Spatial Coupling of mTOR and Autophagy Augments Secretory Phenotypes

2011 459 citations Masako Narita, Andrew Young et al. Science profile →
Inside and out: the activities of senescence in cancer

2014 378 citations Pedro A. Pérez–Mancera, Andrew Young et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Masashi Narita United Kingdom	45	8.9k	3.8k	1.8k	1.8k	1.7k	104	13.1k
Eiji Hara Japan	50	7.1k 0.8×	3.8k 1.0×	1.3k 0.7×	2.7k 1.5×	1.8k 1.0×	108	11.3k
Jesús Gil United Kingdom	54	9.7k 1.1×	3.7k 1.0×	1.2k 0.6×	2.2k 1.2×	2.7k 1.6×	120	14.7k
Pidder Jansen‐Dürr Austria	55	5.2k 0.6×	1.9k 0.5×	1.5k 0.8×	2.6k 1.5×	1.3k 0.8×	176	9.4k
Glynis Scott United States	40	4.8k 0.5×	3.3k 0.9×	988 0.5×	1.7k 1.0×	1.4k 0.8×	138	10.6k
Lufen Chang United States	21	7.2k 0.8×	1.8k 0.5×	2.1k 1.2×	1.8k 1.0×	2.3k 1.3×	27	12.2k
Christian Frezza United Kingdom	61	11.4k 1.3×	1.8k 0.5×	1.5k 0.8×	1.2k 0.7×	2.0k 1.1×	139	16.1k
Michael C. Bassik United States	50	9.5k 1.1×	1.1k 0.3×	2.5k 1.4×	1.2k 0.7×	1.9k 1.1×	106	14.1k
Hongbing Zhang China	49	5.6k 0.6×	1.4k 0.4×	1.0k 0.6×	1.5k 0.8×	1.1k 0.6×	197	9.2k
Yo Sasaki Japan	63	5.3k 0.6×	2.0k 0.5×	2.8k 1.6×	3.4k 1.9×	1.3k 0.8×	289	15.9k
Sebastian Wesselborg Germany	56	7.2k 0.8×	1.3k 0.3×	2.6k 1.4×	1.6k 0.9×	3.9k 2.3×	136	13.4k

Countries citing papers authored by Masashi Narita

Since Specialization

Citations

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

Fields of papers citing papers by Masashi Narita

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masashi Narita

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Collins, Charlotte, Simon Baker, Jason P. Brown, et al.. (2024). Text mining for contexts and relationships in cancer genomics literature. Bioinformatics. 40(1). 1 indexed citations

Klochendler, Agnes, Reba Condiotti, Sharona Elgavish, et al.. (2024). Senescence of human pancreatic beta cells enhances functional maturation through chromatin reorganization and promotes interferon responsiveness. Nucleic Acids Research. 52(11). 6298–6316. 6 indexed citations

Zhang, Yang, Hongjia Zhu, Chengzhi Guo, et al.. (2023). Bioprinting microporous functional living materials from protein-based core-shell microgels. Nature Communications. 14(1). 322–322. 59 indexed citations

Khayati, Khoosheh, Vrushank Bhatt, Taijin Lan, et al.. (2022). Transient Systemic Autophagy Inhibition Is Selectively and Irreversibly Deleterious to Lung Cancer. Cancer Research. 82(23). 4429–4443. 18 indexed citations

Yin, Kelvin, Daniel A. Patten, Adelyne Chan, et al.. (2022). Senescence-induced endothelial phenotypes underpin immune-mediated senescence surveillance. Genes & Development. 36(9-10). 533–549. 44 indexed citations

Tomimatsu, Kosuke, Dóra Bihary, Ioana Olan, et al.. (2021). Locus-specific induction of gene expression from heterochromatin loci during cellular senescence. Nature Aging. 2(1). 31–45. 18 indexed citations

Cassidy, Liam D. & Masashi Narita. (2020). Dynamic modulation of autophagy: implications for aging and cancer. Molecular & Cellular Oncology. 7(4). 1754723–1754723. 3 indexed citations

Olan, Ioana, Aled Parry, Stefan Schoenfelder, et al.. (2020). Transcription-dependent cohesin repositioning rewires chromatin loops in cellular senescence. Nature Communications. 11(1). 6049–6049. 47 indexed citations

Cassidy, Liam D., Andrew Young, Chris Young, et al.. (2020). Temporal inhibition of autophagy reveals segmental reversal of ageing with increased cancer risk. Nature Communications. 11(1). 307–307. 77 indexed citations

10.

Parry, Aled, Matthew Hoare, Dóra Bihary, et al.. (2018). NOTCH-mediated non-cell autonomous regulation of chromatin structure during senescence. Nature Communications. 9(1). 1840–1840. 66 indexed citations

11.

Cassidy, Liam D., Andrew Young, Pedro A. Pérez–Mancera, et al.. (2018). A novel Atg5-shRNA mouse model enables temporal control of Autophagy in vivo. Autophagy. 14(7). 1256–1266. 28 indexed citations

12.

Cairney, Claire J., Alan Bilsland, Sharon Burns, et al.. (2017). A ‘synthetic-sickness’ screen for senescence re-engagement targets in mutant cancer backgrounds. PLoS Genetics. 13(8). e1006942–e1006942. 10 indexed citations

13.

Narita, Masako & Masashi Narita. (2016). Autophagy Detection During Oncogene-Induced Senescence Using Fluorescence Microscopy. Methods in molecular biology. 1534. 89–98. 6 indexed citations

14.

Kirschner, Kristina, Shamith Samarajiwa, Jonathan Cairns, et al.. (2015). Phenotype Specific Analyses Reveal Distinct Regulatory Mechanism for Chronically Activated p53. PLoS Genetics. 11(3). e1005053–e1005053. 45 indexed citations

15.

Narita, Masako, Andrew Young, Satoko Arakawa, et al.. (2011). Spatial Coupling of mTOR and Autophagy Augments Secretory Phenotypes. Science. 332(6032). 966–970. 459 indexed citations breakdown →

16.

Young, Andrew, et al.. (2011). Spatio-temporal association between mTOR and autophagy during cellular senescence. Autophagy. 7(11). 1387–1388. 31 indexed citations

17.

Liu, Zhaojian, Changshun Shao, Yaoqin Gong, et al.. (2011). HMGA2 Overexpression-Induced Ovarian Surface Epithelial Transformation Is Mediated Through Regulation of EMT Genes. Cancer Research. 71(2). 349–359. 130 indexed citations

18.

Young, Andrew & Masashi Narita. (2010). Connecting autophagy to senescence in pathophysiology. Current Opinion in Cell Biology. 22(2). 234–240. 70 indexed citations

19.

Young, Andrew, Masako Narita, Manuela Ferreira, et al.. (2009). Autophagy mediates the mitotic senescence transition. Genes & Development. 23(7). 798–803. 836 indexed citations breakdown →

20.

Narita, Masashi, et al.. (1998). Independent Prognostic Factors in Breast Cancer Patients - its importance as a prognostic indicator and the association with vascular endothelial growth factor expression. The American Journal of Surgery. 1(175). 73–75. 1 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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