Daisuke Noshiro

2.0k citations
22 papers · 1.2k · 3 hit papers · h-index 13

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 4
    • RNA Research and Splicing 4
    • Chemical Synthesis and Analysis 3
    • RNA regulation and disease 2
    • Autophagy in Disease and Therapy 6

Daisuke Noshiro

21 papers receiving 1.2k citations

Hit Papers

Atg9 is a lipid scramblase that mediates autophagosomal membrane expansion 2020 · 298 citations
2980+3+6Years since publication50100150200250

Peers

Daisuke Noshiro
Comparison fields: 5 of 89
  • Structural Biology 35
  • Cell Biology 378
  • Physiology 92
  • Epidemiology 568
  • Biochemistry 111
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Citations per field
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Citations per year

Countries citing papers authored by Daisuke Noshiro

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Noshiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daisuke Noshiro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daisuke Noshiro Line = papers co-authored together Daisuke Noshiro links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Atg9 is a lipid scramblase that mediates autophagosomal membrane expansion
Hit paper breakdown →
2020298
2
Phase separation organizes the site of autophagosome formation
Hit paper breakdown →
2020284
3
The Intrinsically Disordered Protein Atg13 Mediates Supramolecular Assembly of Autophagy Initiation Complexes
Hit paper breakdown →
2016173
4 2020126
5 202074
6 202250
7 202327
8 202125
9 202319
10 201818
11 201318
12 201013
13 202312
14 201010
15 20189
16 20207
17 20225
18 20125
19 20122
20 20201

About Daisuke Noshiro

Daisuke Noshiro is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Atomic and Molecular Physics, and Optics and Microbiology, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (6 papers), Lipid Membrane Structure and Behavior (4 papers), RNA Research and Splicing (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Force Microscopy Techniques and Applications (3 papers), Chemical Synthesis and Analysis (3 papers), Antimicrobial Peptides and Activities (3 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Structural Biology (35 citations), Cell Biology (378 citations), Physiology (92 citations), Epidemiology (568 citations) and Biochemistry (111 citations). Daisuke Noshiro has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Nobuo N. Noda, Yoshinori Ohsumi, Yūko Fujioka, Toshio Ando, Jahangir Md. Alam, Kuninori Suzuki, Yasushi Okada, Roland L. Knorr, Alexander I. May and Kazunari Mouri. Their work appears in journals such as Nature Structural & Molecular Biology, The EMBO Journal, Developmental Cell, Nature Communications and Nature.

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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