Naoki Kimura
- Developmental Neuroscience top 2%
- Physiology top 2%
- Molecular Biology top 5%
- Gene expression and cancer classification 5
- Epigenetics and DNA Methylation 5
- Cancer Research top 10%
- Sensory Systems top 5%
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- Prostate Cancer Diagnosis and Treatment 8
- Prostate Cancer Treatment and Research 4
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- Inflammatory Myopathies and Dermatomyositis 6
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- interferon and immune responses 3
- Immune Cell Function and Interaction 3
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- Zebrafish Biomedical Research Applications 3
- Co-authors
- Tetsuya TagaKinichi NakashimaMakoto YanagisawaHirokazu ArakawaTatsuhiro HisatsuneMasahiro KawabataKohei MiyazonoTakayuki Tamura
- Journals
- Scientific Reports (5 papers)Biochemical and Biophysical Research Communications (4 papers)Genes to Cells (3 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Naoki Kimura
61 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Developmental Neuroscience 260
- Physiology 179
- Molecular Biology 1.6k
- Cancer Research 263
- Sensory Systems 65
Countries citing papers authored by Naoki Kimura
This map shows the geographic impact of Naoki 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 Naoki Kimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Kimura more than expected).
Fields of papers citing papers by Naoki Kimura
This network shows the impact of papers produced by Naoki 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 Naoki Kimura. The network helps show where Naoki Kimura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Naoki Kimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 1 | |
| 4 | 2022 | 7 | |
| 5 | 2022 | 3 | |
| 6 | 2021 | 7 | |
| 7 | 2021 | 3 | |
| 8 | 2020 | 15 | |
| 9 | 2019 | 29 | |
| 10 | 2009 | 5 | |
| 11 | 2009 | 7 | |
| 12 | 2005 | 35 | |
| 13 | 2005 | 11 | |
| 14 | 2004 | 34 | |
| 15 | 2000 | 18 | |
| 16 | 1999 | 53 | |
| 17 | 1999 | 18 | |
| 18 | 1998 | 59 | |
| 19 | 1994 | 146 | |
| 20 | 1958 | 8 |
About Naoki Kimura
Naoki Kimura is a scholar working on Urology, Molecular Biology, Hematology, Algebra and Number Theory and Physiology, having authored 65 papers that have together received 2.5k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (8 papers), Inflammatory Myopathies and Dermatomyositis (6 papers), Gene expression and cancer classification (5 papers), Epigenetics and DNA Methylation (5 papers), Prostate Cancer Treatment and Research (4 papers), interferon and immune responses (3 papers), Zebrafish Biomedical Research Applications (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Developmental Neuroscience (260 citations), Physiology (179 citations), Molecular Biology (1.6k citations), Cancer Research (263 citations) and Sensory Systems (65 citations). Naoki Kimura has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Tetsuya Taga, Kinichi Nakashima, Makoto Yanagisawa, Hirokazu Arakawa, Tatsuhiro Hisatsune, Masahiro Kawabata, Kohei Miyazono, Takayuki Tamura, Ritsuko Matsuo and Hiroshi Shibuyà. Their work appears in journals such as Scientific Reports, Biochemical and Biophysical Research Communications, Genes to Cells, The Journal of Biochemistry and PLoS ONE.
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.