Daisuke Tsuboi

1.7k citations
29 papers · 1.2k indexed · h-index 15

Impact in

Papers in

Daisuke Tsuboi

28 papers receiving 1.2k citations

Peers

Daisuke Tsuboi
Comparison fields: 5 of 81
  • Aging 177
  • Cellular and Molecular Neuroscience 422
  • Developmental Neuroscience 87
  • Cell Biology 325
  • Biological Psychiatry 42
Replace Takao Hikita with:
Takao Hikita Japan
Caroline L. Tinsley United Kingdom
Hongyu Ruan United States
Olga Varlamova United States
Felice Elefant United States
Brock Grill United States
Daniela Omodei Italy
Chang Man Ha South Korea
Paul M. Jenkins United States
Pei-Ken Hsu United States
Daisuke Tsuboi relative to Takao Hikita Japan Takao Hikita's profile →
Citations per field
00.5×1.5×1.8×
Takao Hikita · 1×
Citations per year

Countries citing papers authored by Daisuke Tsuboi

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Tsuboi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daisuke Tsuboi, 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 Tsuboi Line = papers co-authored together Daisuke Tsuboi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202412
2 20240
3 20234
4 202214
5 20229
6 20226
7 20219
8 20218
9 201945
10 201675
11 201553
12 201349
13 2009138
14 200924
15 2007183
16 200791
17 200528
18 200536
19 200229
20 2002104

About Daisuke Tsuboi

Daisuke Tsuboi is a scholar working on Aging, Cellular and Molecular Neuroscience, Cell Biology, Molecular Biology and Neurology, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (11 papers), Neuroscience and Neuropharmacology Research (9 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Phosphodiesterase function and regulation (6 papers), Ion channel regulation and function (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), 14-3-3 protein interactions (4 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). The work is most often cited by research in Aging (177 citations), Cellular and Molecular Neuroscience (422 citations), Developmental Neuroscience (87 citations), Cell Biology (325 citations) and Biological Psychiatry (42 citations). Daisuke Tsuboi has collaborated with scholars based in Japan, United States and Czechia. Frequent co-authors include Kozo Kaibuchi, Shinichiro Taya, Takao Hikita, Keisuke Kuroda, Hiroshi Qadota, Tomoyasu Shinoda, Mutsuki Amano, Akihiro Iwamatsu, Tadaomi Takenawa and Yoji Kawano. Their work appears in journals such as Journal of Neurochemistry, Journal of Neuroscience, Cell Reports, Frontiers in Molecular Neuroscience and Neuron.

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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