Naoki Kimura

3.4k total citations · 1 hit paper
65 papers, 2.5k citations indexed

About

Naoki Kimura is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Naoki Kimura has authored 65 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 10 papers in Pulmonary and Respiratory Medicine and 9 papers in Epidemiology. Recurrent topics in Naoki Kimura's work include Prostate Cancer Diagnosis and Treatment (8 papers), Inflammatory Myopathies and Dermatomyositis (6 papers) and Gene expression and cancer classification (5 papers). Naoki Kimura is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (8 papers), Inflammatory Myopathies and Dermatomyositis (6 papers) and Gene expression and cancer classification (5 papers). Naoki Kimura collaborates with scholars based in Japan, United States and Canada. Naoki Kimura's co-authors include Tetsuya Taga, Kinichi Nakashima, Makoto Yanagisawa, Hirokazu Arakawa, Tatsuhiro Hisatsune, Masahiro Kawabata, Kohei Miyazono, Takayuki Tamura, Ritsuko Matsuo and Hiroshi Shibuyà and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Naoki Kimura

61 papers receiving 2.4k citations

Hit Papers

Synergistic Signaling in Fetal Brain by STAT3-Smad1 Compl... 1999 2026 2008 2017 1999 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Naoki Kimura Japan 21 1.6k 298 264 263 260 65 2.5k
Lionel M.L. Chow United States 30 1.9k 1.2× 500 1.7× 609 2.3× 487 1.9× 307 1.2× 56 3.2k
Steven A. Reeves United States 27 2.0k 1.3× 683 2.3× 334 1.3× 293 1.1× 194 0.7× 37 3.1k
David W. Morgens United States 19 1.8k 1.2× 219 0.7× 491 1.9× 161 0.6× 112 0.4× 34 2.9k
Carl Pelz United States 21 1.4k 0.9× 412 1.4× 211 0.8× 364 1.4× 82 0.3× 37 2.5k
John F. Reilly United States 25 1.8k 1.2× 572 1.9× 264 1.0× 237 0.9× 124 0.5× 43 3.0k
Kirsi Riento United Kingdom 18 2.1k 1.3× 310 1.0× 259 1.0× 210 0.8× 74 0.3× 26 3.1k
Beth Murray United States 5 2.2k 1.4× 330 1.1× 226 0.9× 206 0.8× 151 0.6× 5 2.8k
Douglas A. Rubinson United States 22 1.9k 1.2× 831 2.8× 288 1.1× 470 1.8× 134 0.5× 47 3.3k
Yasutaka Ohta Japan 31 2.3k 1.5× 328 1.1× 285 1.1× 211 0.8× 67 0.3× 61 3.7k
S. Patricia Becerra United States 39 2.7k 1.7× 179 0.6× 289 1.1× 438 1.7× 57 0.2× 93 4.1k

Countries citing papers authored by Naoki Kimura

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Naoki Kimura

This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Kimura. A scholar is included among the top collaborators of Naoki Kimura based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Naoki Kimura. Naoki Kimura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kameda, Tomohiro, Toru Sugihara, Daisuke Obinata, et al.. (2024). Androgen receptor and osteoglycin gene expression predicting prognosis of metastatic prostate cancer. Scientific Reports. 14(1). 30654–30654.
2.
Yamada, Yuta, Shigenori Kakutani, Naoki Kimura, et al.. (2024). Retzius-Sparing Robot-Assisted Radical Prostatectomy Using the Hinotori Surgical Robot System Platform: Report of the First Series of Experiences. Current Oncology. 31(9). 5537–5543. 6 indexed citations
3.
Fukuyama, Hisashi, et al.. (2024). SUB–INTERNAL LIMITING MEMBRANE FOVEAL HEMORRHAGE UNDER TENSION. Retina. 45(2). 231–237. 1 indexed citations
4.
Kimura, Naoki, et al.. (2022). Ribonuclease H2 Subunit A Preserves Genomic Integrity and Promotes Prostate Cancer Progression. Cancer Research Communications. 2(8). 870–883. 7 indexed citations
5.
Yamada, Yuta, Naoki Kimura, Yuji Hakozaki, et al.. (2022). The association between the parameters of uroflowmetry and lower urinary tract symptoms in prostate cancer patients after robot-assisted radical prostatectomy. PLoS ONE. 17(10). e0275069–e0275069. 3 indexed citations
7.
Kakutani, Shigenori, Yuta Yamada, Tetsuya Fujimura, et al.. (2021). Clinical significance and risk factors of urethrovesical anastomotic urinary leakage following robot-assisted radical prostatectomy: a multi-institutional study. BMC Urology. 21(1). 75–75. 3 indexed citations
8.
9.
Yamada, Yuta, Naoki Kimura, Ken‐ichi Takayama, et al.. (2019). TRIM44 promotes cell proliferation and migration by inhibiting FRK in renal cell carcinoma. Cancer Science. 111(3). 881–890. 29 indexed citations
10.
Kimura, Naoki, Toyoki Moribe∥, Norio Iizuka, et al.. (2009). Rapid and quantitative detection of CpG-methylation status using TaqMan PCR combined with methyl-binding-domain polypeptide. Clinical Biochemistry. 42(10-11). 1113–1122. 5 indexed citations
11.
Iwaoka, Michio, et al.. (2009). The SAAP force field: Development of the single amino acid potentials for 20 proteinogenic amino acids and Monte Carlo molecular simulation for short peptides. Journal of Computational Chemistry. 30(13). 2039–2055. 7 indexed citations
12.
Kimura, Naoki. (2005). Methylation profiles of genes utilizing newly developed CpG island methylation microarray on colorectal cancer patients. Nucleic Acids Research. 33(5). e46–e46. 35 indexed citations
13.
Masson, Luke, Christine Maynard, Roland Brousseau, et al.. (2005). Identification of pathogenic Helicobacter species by chaperonin-60 differentiation on plastic DNA arrays. Genomics. 87(1). 104–112. 11 indexed citations
14.
Kimura, Naoki. (2004). Attachment of oligonucleotide probes to poly carbodiimide-coated glass for microarray applications. Nucleic Acids Research. 32(7). e68–e68. 34 indexed citations
15.
Kato, Hiroyuki, Shiyi Chen, Hiroshi Kiyama, et al.. (2000). Identification of a Novel WD Repeat-Containing Gene Predominantly Expressed in Developing and Regenerating Neurons. The Journal of Biochemistry. 128(6). 923–932. 18 indexed citations
16.
Kimura, Naoki, Kinichi Nakashima, Masaya Ueno, Hiroshi Kiyama, & Tetsuya Taga. (1999). A novel mammalian T-box-containing gene, Tbr2, expressed in mouse developing brain. Developmental Brain Research. 115(2). 183–193. 53 indexed citations
17.
Kimura, Naoki, Masaya Ueno, Kazuhisa Nakashima, & Tetsuya Taga. (1999). A Brain Region-Specific Gene Product Lhx6.1 Interacts with Ldbl through Tandem LIM-Domains. The Journal of Biochemistry. 126(1). 180–187. 18 indexed citations
18.
Kimura, Naoki, et al.. (1998). Entactin-2: A New Member of Basement Membrane Protein with High Homology to Entactin/Nidogen. Experimental Cell Research. 241(1). 36–45. 59 indexed citations
19.
Hirata, Yuichi, Naoki Kimura, Koh Sato, et al.. (1994). ADP ribosyl cyclase activity of a novel bone marrow stromal cell surface molecule, BST‐1. FEBS Letters. 356(2-3). 244–248. 146 indexed citations
20.
Kimura, Naoki. (1958). On some existence theorems on multiplicative systems, I. Greatest quotient. Proceedings of the Japan Academy Series A Mathematical Sciences. 34(6). 8 indexed citations

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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