Ai Yamamoto

20.7k citations
74 papers · 5.5k indexed · 3 hit papers · h-index 30
Topics
Autophagy in Disease and Therapy (29 papers)Genetic Neurodegenerative Diseases (17 papers)Cellular transport and secretion (10 papers)
Partner nations
United StatesJapanNorway

In The Last Decade

Ai Yamamoto

68 papers receiving 5.5k citations

Hit Papers

Loss of mTOR-Dependent Macroautophagy C...2000202620082017201420002007250500750

Peers

Ai Yamamoto
Comparison fields: 5 of 133
  • Molecular Biology 2.7k
  • Cellular and Molecular Neuroscience 1.9k
  • Epidemiology 1.9k
  • Cell Biology 1.2k
  • Neurology 1.0k
Replace Päivi Lindholm with:
Päivi Lindholm Finland
Marie Futter United Kingdom
Takashi Momoi Japan
Gudrun Ahnert‐Hilger Germany
Ashley R. Winslow United Kingdom
Taiichi Katayama Japan
M. Lamar Seibenhener United States
Jian Feng United States
Ype Elgersma Netherlands
Myriam Heiman United States
Ai Yamamoto relative to Päivi Lindholm Finland Päivi Lindholm's profile →
Citations per field
00.5×2.9×
Päivi Lindholm · 1×
Citations per year

Countries citing papers authored by Ai Yamamoto

Since Specialization
Citations

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

Fields of papers citing papers by Ai Yamamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ai Yamamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Ai Yamamoto. A scholar is included among the top collaborators of Ai Yamamoto 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 Ai Yamamoto. Ai Yamamoto 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 0
3 2
4 6
5 26
6 2
7 16
8 6
9 3
10 82
11 30
12
Loss of mTOR-Dependent Macroautophagy Causes Autistic-like Synaptic Pruning Deficitsbreakdown →
827
13 201
14 1
15 63
16 113
17 307
18
Bath-PUVA therapy for Papuloerythroderma (Ofuji)
1
19
Reversal of Neuropathology and Motor Dysfunction in a Conditional Model of Huntington's Diseasebreakdown →
822
20 22

About Ai Yamamoto

Ai Yamamoto is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Epidemiology, having authored 74 papers that have together received 5.5k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (29 papers), Genetic Neurodegenerative Diseases (17 papers) and Cellular transport and secretion (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.9k citations), Cell Biology (1.2k citations) and Neurology (1.0k citations). Ai Yamamoto has collaborated with scholars based in United States, Japan and Norway. Frequent co-authors include José J. Lucas, René Hen, Anne Simonsen, Zhenyu Yue, María Laura Cremona, James E. Rothman, Harald Stenmark, Andreas Brech, Katherine R. Croce and Thomas J. Melia. Their work appears in journals such as Cell, Journal of Biological Chemistry and Nature Communications.

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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