Ken Inada

1.6k citations
78 papers · 763 · h-index 17

Impact in

Papers in

Ken Inada

71 papers receiving 752 citations

Peers

Ken Inada
Comparison fields: 5 of 88
  • Biological Psychiatry 63
  • Psychiatry and Mental health 262
  • Behavioral Neuroscience 36
  • Cellular and Molecular Neuroscience 172
  • Experimental and Cognitive Psychology 118
Replace C. Wurthmann with:
C. Wurthmann Germany
Matej Markota United States
Philip Heiser Germany
Eva-Maria Tsapakis Greece
Jinguo Zhai China
Lorenzo Lattanzi Italy
A. Heiden Austria
Anna Walter Switzerland
Roland Ricken Germany
M. Picchetti Italy
Ken Inada relative to C. Wurthmann Germany C. Wurthmann's profile →
Citations per field
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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 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201343
2 201843
3 200338
4 200933
5 200433
6 202232
7 201030
8 200529
9 202028
10 201926
11 202123
12 201022
13 200920
14 201820
15 200318
16 202317
17 200917
18 202014
19 200914
20 201613

About Ken Inada

Ken Inada is a scholar working on Psychiatry and Mental health, Cellular and Molecular Neuroscience, Experimental and Cognitive Psychology, Cognitive Neuroscience and Pharmacology, having authored 78 papers that have together received 763 indexed citations. Recurring topics across this work include Schizophrenia research and treatment (27 papers), Sleep and related disorders (16 papers), Neuroscience and Neuropharmacology Research (14 papers), Sleep and Wakefulness Research (13 papers), Bipolar Disorder and Treatment (11 papers), Treatment of Major Depression (11 papers), Neurotransmitter Receptor Influence on Behavior (10 papers) and Youth Substance Use and School Attendance (9 papers). The work is most often cited by research in Biological Psychiatry (63 citations), Psychiatry and Mental health (262 citations), Behavioral Neuroscience (36 citations), Cellular and Molecular Neuroscience (172 citations) and Experimental and Cognitive Psychology (118 citations). Ken Inada has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Jun Ishigooka, Kazuo Mishima, Katsuji Nishimura, Beverly H. Koller, Gary E. Duncan, Makoto Saji, Sheryl S. Moy, Kentaro Matsui, Nakao Iwata and Taro Kishi. Their work appears in journals such as European Journal of Pharmacology, Frontiers in Psychiatry, BMC Psychiatry, Neuroscience Research 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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