Hitoshi Inokawa

38 papers receiving 1.0k citations

Peers

Hitoshi Inokawa
Comparison fields: 5 of 114
  • Endocrine and Autonomic Systems 230
  • Aging 51
  • Catalysis 190
  • Cellular and Molecular Neuroscience 286
  • Cognitive Neuroscience 230
Replace Michael L. Ko with:
Michael L. Ko United States
Ka Hung Lee United States
Dong Yang China
Dongmin Lee South Korea
M.R. Smith United States
Shanping Chen China
Yuichi Hiraoka Japan
Guangsen Shi China
Sarah J. Starkey United Kingdom
Eun Jeong Lee South Korea
Hitoshi Inokawa relative to Michael L. Ko United States Michael L. Ko's profile →
Citations per field
00.5×11.9×
Michael L. Ko · 1×
Citations per year

Countries citing papers authored by Hitoshi Inokawa

Since Specialization
Citations

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

Fields of papers citing papers by Hitoshi Inokawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998187
2 202095
3 201971
4 201167
5 201454
6 201453
7 201345
8 201140
9 201539
10 202138
11 201132
12 201731
13 201030
14 201526
15 201626
16 202221
17 201521
18 199820
19 201116
20 201315

About Hitoshi Inokawa

Hitoshi Inokawa is a scholar working on Cellular and Molecular Neuroscience, Materials Chemistry, Cognitive Neuroscience, Catalysis and Endocrine and Autonomic Systems, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (8 papers), Catalytic Processes in Materials Science (7 papers), Neural dynamics and brain function (6 papers), Neurotransmitter Receptor Influence on Behavior (6 papers), Neural and Behavioral Psychology Studies (5 papers), Catalysts for Methane Reforming (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (230 citations), Aging (51 citations), Catalysis (190 citations), Cellular and Molecular Neuroscience (286 citations) and Cognitive Neuroscience (230 citations). Hitoshi Inokawa has collaborated with scholars based in Japan, United States and Saudi Arabia. Frequent co-authors include Takayuki Ichikawa, Hiroki Miyaoka, Kazuhiro Yagita, Yasuhiro Umemura, Minoru Kimura, Yoshiki Tsuchiya, Keisuke Toyama, Naoyuki Matsumoto, Yoshitsugu Kojima and Yasumasa Ueda. Their work appears in journals such as Scientific Reports, International Journal of Hydrogen Energy, PLoS ONE, Experimental Brain Research and Neuroscience 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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