Ken Inada

75 papers receiving 790 citations

Peers

Ken Inada
Comparison fields: 5 of 85
  • Biological Psychiatry 43
  • Psychiatry and Mental health 230
  • Cellular and Molecular Neuroscience 159
  • Behavioral Neuroscience 27
  • Experimental and Cognitive Psychology 83
Replace Tetsufumi Kanazawa with:
Tetsufumi Kanazawa Japan
Anna Walter Switzerland
C. Wurthmann Germany
Satsuki Sumitani Japan
Yakup Albayrak Türkiye
Lorenzo Lattanzi Italy
Michela Sala Italy
Shin’Ya Tayoshi Japan
Kayo Onoe Japan
M.A. Crocq France
Ken Inada relative to Tetsufumi Kanazawa Japan Tetsufumi Kanazawa's profile →
Citations per field
00.5×1.5×1.9×
Tetsufumi Kanazawa · 1×
Citations per year

Countries citing papers authored by Ken Inada

Since Specialization
Citations

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

Fields of papers citing papers by Ken Inada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201847
2 201343
3 200340
4 202234
5 200934
6 200433
7 201030
8 201929
9 200529
10 202029
11 201025
12 202123
13 200922
14 201821
15 200318
16 202317
17 200917
18 202016
19 200914
20 202113

About Ken Inada

Ken Inada is a scholar working on Psychiatry and Mental health, Experimental and Cognitive Psychology, Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience, having authored 84 papers that have together received 811 indexed citations. Recurring topics across this work include Schizophrenia research and treatment (22 papers), Sleep and related disorders (15 papers), Neuroscience and Neuropharmacology Research (13 papers), Neurotransmitter Receptor Influence on Behavior (9 papers), Bipolar Disorder and Treatment (5 papers), Treatment of Major Depression (5 papers), Receptor Mechanisms and Signaling (4 papers) and Sleep and Wakefulness Research (4 papers). The work is most often cited by research in Biological Psychiatry (43 citations), Psychiatry and Mental health (230 citations), Cellular and Molecular Neuroscience (159 citations), Behavioral Neuroscience (27 citations) and Experimental and Cognitive Psychology (83 citations). Ken Inada has collaborated with scholars based in Japan, United States and Vietnam. Frequent co-authors include Jun Ishigooka, Kazuo Mishima, Katsuji Nishimura, Beverly H. Koller, Gary E. Duncan, Sheryl S. Moy, Makoto Saji, Kentaro Matsui, Taro Kishi and Nakao Iwata. Their work appears in journals such as European Journal of Pharmacology, BMC Psychiatry, Frontiers in Psychiatry, Psychiatry and Clinical Neurosciences and Psychiatry Research.

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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