Masashi Narita

30.4k citations
104 papers · 13.1k indexed · 8 hit papers · h-index 45
Topics
Telomeres, Telomerase, and Senescence (42 papers)Genomics and Chromatin Dynamics (18 papers)Autophagy in Disease and Therapy (16 papers)

In The Last Decade

Masashi Narita

102 papers receiving 13.0k citations

Hit Papers

Bcl-2 family proteins regulate the release of apoptogenic...19982026200720161999200320091998201650010001.5k

Peers

Masashi Narita
Comparison fields: 5 of 159
  • Molecular Biology 8.9k
  • Physiology 3.8k
  • Epidemiology 1.8k
  • Oncology 1.8k
  • Immunology 1.7k
Replace Jesús Gil with:
Jesús Gil United Kingdom
Eiji Hara Japan
Pidder Jansen‐Dürr Austria
Glynis Scott United States
Ángel R. Nebreda Spain
Michael C. Bassik United States
Derek A. Mann United Kingdom
Christian Frezza United Kingdom
Roberta A. Gottlieb United States
Glyn Nelson United Kingdom
Masashi Narita relative to Jesús Gil United Kingdom Jesús Gil's profile →
Citations per field
00.5×1.6×
Jesús Gil · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 6
4 10
5 5
6 54
7 18
8 44
9 18
10 41
11 36
12 30
13 3
14 47
15 54
16 1
17 28
18 10
19 130
20
Spatial Coupling of mTOR and Autophagy Augments Secretory Phenotypesbreakdown →
459

About Masashi Narita

Masashi Narita is a scholar working on Physiology, Aging and Molecular Biology, having authored 104 papers that have together received 13.1k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (42 papers), Genomics and Chromatin Dynamics (18 papers) and Autophagy in Disease and Therapy (16 papers). The work is most often cited by research in Aging (623 citations), Physiology (3.8k citations) and Molecular Biology (8.9k citations). Masashi Narita has collaborated with scholars based in United Kingdom, Japan and United States. Frequent co-authors include Shigeomi Shimizu, Andrew Young, Masako Narita, Scott W. Lowe, Matthew Hoare, Mahito Sadaie, Stephen Hearn, Rafik Salama, David L. Spector and Gregory J. Hannon. Their work appears in journals such as Nature, Science and Cell.

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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