Naoki Kimura
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
- Physiology top 2%
- Calcium signaling and nucleotide metabolism
Papers in
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- Gene expression and cancer classification 5
- Epigenetics and DNA Methylation 4
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- SARS-CoV-2 and COVID-19 Research 7
- Co-authors
- Tetsuya Taga (10 shared papers)Kinichi Nakashima (5 shared papers)Tatsuhiro Hisatsune (1 shared paper)Hirokazu Arakawa (1 shared paper)Makoto Yanagisawa (1 shared paper)Kohei Miyazono (1 shared paper)Masahiro Kawabata (1 shared paper)Takayuki Tamura (3 shared papers)
- Journals
- Lara D. Veeken (10 papers)Scientific Reports (6 papers)Biochemical and Biophysical Research Communications (4 papers)Genes to Cells (3 papers)The Journal of Biochemistry (3 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Naoki Kimura
84 papers receiving 2.8k citations
Naoki Kimura's Hit Papers
Peers
Comparison fields: 5 of 121
- Developmental Neuroscience 272
- Physiology 189
- Molecular Biology 1.6k
- Cancer Research 255
- Sensory Systems 67
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-authors
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
Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Synergistic Signaling in Fetal Brain by STAT3-Smad1 Complex Bridged by p300 Hit paper breakdown → | 1999 | 765 |
| 2 | 2003 | 310 | |
| 3 | 2000 | 206 | |
| 4 | 1994 | 157 | |
| 5 | 2009 | 101 | |
| 6 | 1954 | 72 | |
| 7 | 1998 | 64 | |
| 8 | 1992 | 62 | |
| 9 | 1971 | 61 | |
| 10 | 1999 | 54 | |
| 11 | 1996 | 52 | |
| 12 | 2021 | 46 | |
| 13 | 2012 | 44 | |
| 14 | 2005 | 40 | |
| 15 | 2007 | 38 | |
| 16 | 2022 | 34 | |
| 17 | 2004 | 33 | |
| 18 | 2002 | 32 | |
| 19 | 2004 | 32 | |
| 20 | 2020 | 32 |
About Naoki Kimura
Naoki Kimura is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Pulmonary and Respiratory Medicine and Immunology, having authored 89 papers that have together received 2.9k indexed citations. Recurring topics across this work include Inflammatory Myopathies and Dermatomyositis (10 papers), Prostate Cancer Diagnosis and Treatment (9 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Gene expression and cancer classification (5 papers), Immune Cell Function and Interaction (4 papers), Epigenetics and DNA Methylation (4 papers), Prostate Cancer Treatment and Research (4 papers) and Diabetes and associated disorders (3 papers). The work is most often cited by research in Developmental Neuroscience (272 citations), Physiology (189 citations), Molecular Biology (1.6k citations), Cancer Research (255 citations) and Sensory Systems (67 citations). Naoki Kimura has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Tetsuya Taga, Kinichi Nakashima, Tatsuhiro Hisatsune, Hirokazu Arakawa, Makoto Yanagisawa, Kohei Miyazono, Masahiro Kawabata, Takayuki Tamura, Ritsuko Matsuo and Hiroshi Shibuyà. Their work appears in journals such as Lara D. Veeken, Scientific Reports, Biochemical and Biophysical Research Communications, Genes to Cells and The Journal of Biochemistry.
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.