Mitsuru Kimura

2.0k citations
65 papers · 1.6k · h-index 21

Impact in

Papers in

Mitsuru Kimura

62 papers receiving 1.5k citations

Peers

Mitsuru Kimura
Comparison fields: 5 of 120
  • Pathology and Forensic Medicine 381
  • Cellular and Molecular Neuroscience 296
  • Neurology 154
  • Epidemiology 277
  • Developmental Neuroscience 29
Replace Takefumi Yuzuriha with:
Takefumi Yuzuriha Japan
Karyn L. Boundy Australia
Michael S. Kappy United States
Ene‐Choo Tan Singapore
A. Kazis Greece
Pia Jaatinen Finland
JoAnne E. Natale United States
P. O. Lundberg Sweden
Andrew L. Lux United Kingdom
Imad T. Jarjour United States
Mitsuru Kimura relative to Takefumi Yuzuriha Japan Takefumi Yuzuriha's profile →
Citations per field
00.5×2×4×6.2×
Takefumi Yuzuriha · 1×
Citations per year

Countries citing papers authored by Mitsuru Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuru Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000121
2 2004106
3 201398
4 201684
5 201283
6 200171
7 201370
8 201868
9 200167
10 201162
11 200455
12 201954
13 198352
14 198738
15 201333
16 201431
17 201524
18 201023
19 201323
20 200221

About Mitsuru Kimura

Mitsuru Kimura is a scholar working on Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine, Epidemiology, Neurology and Cellular and Molecular Neuroscience, having authored 65 papers that have together received 1.6k indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (24 papers), Mitochondrial Function and Pathology (5 papers), Substance Abuse Treatment and Outcomes (5 papers), Cardiovascular Function and Risk Factors (4 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Metabolism and Genetic Disorders (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers) and Cardiac electrophysiology and arrhythmias (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (381 citations), Cellular and Molecular Neuroscience (296 citations), Neurology (154 citations), Epidemiology (277 citations) and Developmental Neuroscience (29 citations). Mitsuru Kimura has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Susumu Higuchi, Sachio Matsushita, Akira Yokoyama, Akira Yokoyama, Toshifumi Matsui, Takeshi Mizukami, Katsuya Maruyama, Aihide Yoshino, Masanobu Murayama and Takuya Takahashi. Their work appears in journals such as Alcoholism Clinical and Experimental Research, Alcohol and Alcoholism, PLoS ONE, Psychiatry and Clinical Neurosciences and Pharmacogenetics and Genomics.

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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