Daisuke Kanayama

21 papers receiving 393 citations

Peers

Daisuke Kanayama
Comparison fields: 5 of 88
  • Biological Psychiatry 45
  • Cell Biology 82
  • Applied Psychology 21
  • Neurology 51
  • Physiology 83
Replace Yukako Sakagami with:
Yukako Sakagami Japan
Maria R. Jones United States
Pablo S. Contreras United States
Pai Liu China
Vida Shokoohi United States
Gregory K.W. Lam United States
James A. Cornwell United States
Emelie Stenman Sweden
M. Couturier France
Daisuke Kanayama relative to Yukako Sakagami Japan Yukako Sakagami's profile →
Citations per field
00.5×1.6×
Yukako Sakagami · 1×
Citations per year

Countries citing papers authored by Daisuke Kanayama

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Kanayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020130
2 201485
3 200649
4 201332
5 201222
6 202213
7 200411
8 202210
9 202010
10 20226
11 20226
12 20234
13 20214
14 20243
15 20232
16 20242
17 20202
18 20062
19 20212
20 20131

About Daisuke Kanayama

Daisuke Kanayama is a scholar working on Molecular Biology, Experimental and Cognitive Psychology, Physiology, Applied Psychology and Clinical Psychology, having authored 23 papers that have together received 397 indexed citations. Recurring topics across this work include Digital Mental Health Interventions (5 papers), Mental Health Research Topics (4 papers), Alzheimer's disease research and treatments (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Autophagy in Disease and Therapy (2 papers), Tryptophan and brain disorders (2 papers), Receptor Mechanisms and Signaling (2 papers) and Amino Acid Enzymes and Metabolism (2 papers). The work is most often cited by research in Biological Psychiatry (45 citations), Cell Biology (82 citations), Applied Psychology (21 citations), Neurology (51 citations) and Physiology (83 citations). Daisuke Kanayama has collaborated with scholars based in Japan, France and China. Frequent co-authors include Takashi Kudo, Yukako Sakagami, Hitoshi Tanimukai, Kanta Yanagida, Masatoshi Takeda, Hiroyoshi Adachi, Masayasu Okochi, Kohji Mori, Norikazu Maeda and Iichiro Shimomura. Their work appears in journals such as Biochemical and Biophysical Research Communications, Scientific Reports, Alzheimer s & Dementia, Bioorganic & Medicinal Chemistry Letters and Psychogeriatrics.

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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