Asuka Naito

2.5k total citations · 1 hit paper
18 papers, 2.1k citations indexed

About

Asuka Naito is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Asuka Naito has authored 18 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Immunology. Recurrent topics in Asuka Naito's work include NF-κB Signaling Pathways (6 papers), Immune Response and Inflammation (5 papers) and Bone Metabolism and Diseases (3 papers). Asuka Naito is often cited by papers focused on NF-κB Signaling Pathways (6 papers), Immune Response and Inflammation (5 papers) and Bone Metabolism and Diseases (3 papers). Asuka Naito collaborates with scholars based in Japan, United States and Germany. Asuka Naito's co-authors include Jun‐ichiro Inoue, Sakura Azuma, Sakae Tanaka, Norihiko Kobayashi, Tadashi Yamamoto, Tadashi Yamamoto, Kunihiro Matsumoto, Yuho Kadono, Nobuo Tsukamoto and Takaomi Ishida and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Neuroscience.

In The Last Decade

Asuka Naito

16 papers receiving 2.0k citations

Hit Papers

Severe osteopetrosis, def... 1999 2026 2008 2017 1999 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Asuka Naito Japan 13 1.3k 835 791 666 129 18 2.1k
Catherine Laplace France 15 1.3k 1.0× 207 0.2× 737 0.9× 656 1.0× 82 0.6× 15 1.9k
Elizabeth W. Bradley United States 25 1.4k 1.1× 392 0.5× 198 0.3× 462 0.7× 403 3.1× 54 2.1k
Haishan Lin China 19 865 0.7× 174 0.2× 1.8k 2.2× 488 0.7× 117 0.9× 41 2.8k
M. Gabriele Bixel Germany 22 846 0.7× 143 0.2× 372 0.5× 200 0.3× 123 1.0× 34 1.8k
Maribel Parra Spain 23 1.6k 1.3× 274 0.3× 297 0.4× 354 0.5× 39 0.3× 34 2.1k
Claudia Korn Germany 21 859 0.7× 224 0.3× 413 0.5× 234 0.4× 71 0.6× 31 2.0k
Peter Lembessis Greece 22 693 0.5× 282 0.3× 115 0.1× 394 0.6× 116 0.9× 63 1.5k
Seung‐Yoon Park South Korea 24 878 0.7× 434 0.5× 614 0.8× 196 0.3× 49 0.4× 57 1.8k
Xiaoyun Xing United States 25 1.3k 1.0× 261 0.3× 197 0.2× 137 0.2× 186 1.4× 47 2.0k
C D Stiles United States 11 769 0.6× 140 0.2× 316 0.4× 251 0.4× 68 0.5× 17 1.5k

Countries citing papers authored by Asuka Naito

Since Specialization
Citations

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

Fields of papers citing papers by Asuka Naito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asuka Naito

This figure shows the co-authorship network connecting the top 25 collaborators of Asuka Naito. A scholar is included among the top collaborators of Asuka Naito 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 Asuka Naito. Asuka Naito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Kubota, Tetsuya, Masahiro Konishi, Asuka Naito, et al.. (2021). A xanthene derivative, DS20060511, attenuates glucose intolerance by inducing skeletal muscle-specific GLUT4 translocation in mice. Communications Biology. 4(1). 994–994. 6 indexed citations
2.
Ikeda, Mika, Asuka Naito, Masakazu Hirouchi, et al.. (2013). Arylpiperazines as fatty acid transport protein 1 (FATP1) inhibitors with improved potency and pharmacokinetic properties. Bioorganic & Medicinal Chemistry Letters. 23(9). 2560–2565. 21 indexed citations
3.
Ikeda, Mika, Asuka Naito, Masakazu Hirouchi, et al.. (2012). Discovery and optimization of novel fatty acid transport protein 1 (FATP1) inhibitors. Bioorganic & Medicinal Chemistry Letters. 22(15). 5067–5070. 8 indexed citations
4.
Seguchi, Osamu, Seiji Takashima, Satoru Yamazaki, et al.. (2007). A cardiac myosin light chain kinase regulates sarcomere assembly in the vertebrate heart. Journal of Clinical Investigation. 117(10). 2812–2824. 126 indexed citations
5.
Naito, Asuka, Hiroaki Satoh, Morio Ohtsuka, & Kiyohisa Sekizawa. (2005). Atelectasis of the right medial basal segment mimicking primary lung cancer in an asthmatic patient. International Journal of Clinical Practice. 59(147). 109–110. 1 indexed citations
6.
Naito, Asuka, et al.. (2004). Neurotrophin Signaling through the p75 Receptor Is Deficient intraf6-/- Mice. Journal of Neuroscience. 24(46). 10521–10529. 81 indexed citations
7.
Homma, Toshiaki, Asuka Naito, Takeshi Matsumura, et al.. (2004). Circuit training for elderly patients with chronic obstructive pulmonary disease: a preliminary study. Archives of Gerontology and Geriatrics. 39(2). 103–110. 11 indexed citations
8.
Ohazama, Atsushi, Jo‐Maree Courtney, Abigail S. Tucker, et al.. (2003). Traf6 is essential for murine tooth cusp morphogenesis. Developmental Dynamics. 229(1). 131–135. 45 indexed citations
9.
Matsumura, Takeshi, et al.. (2003). Plasma Orexin-A Levels and Body Composition in COPD. CHEST Journal. 123(4). 1060–1065. 23 indexed citations
10.
Matsumura, Takeshi, Akihiro Nomura, Asuka Naito, et al.. (2002). Age-related changes in plasma orexin-A concentrations. Experimental Gerontology. 37(8-9). 1127–1130. 36 indexed citations
11.
Nishioka, Eri, Toshiyuki Tanaka, Hisahiro Yoshida, et al.. (2002). Mucosal Addressin Cell Adhesion Molecule 1 Plays an Unexpected Role in the Development of Mouse Guard Hair. Journal of Investigative Dermatology. 119(3). 632–638. 14 indexed citations
12.
Yoshida, Hisahiro, Asuka Naito, Jun‐ichiro Inoue, et al.. (2002). Different Cytokines Induce Surface Lymphotoxin-αβ on IL-7 Receptor-α Cells that Differentially Engender Lymph Nodes and Peyer's Patches. Immunity. 17(6). 823–833. 199 indexed citations
13.
Naito, Asuka, Hisahiro Yoshida, Eri Nishioka, et al.. (2002). TRAF6 -deficient mice display hypohidrotic ectodermal dysplasia. Proceedings of the National Academy of Sciences. 99(13). 8766–8771. 152 indexed citations
14.
Kobayashi, Norihiko, Yuho Kadono, Asuka Naito, et al.. (2001). Segregation of TRAF6-mediated signaling pathways clarifies its role in osteoclastogenesis. The EMBO Journal. 20(6). 1271–1280. 403 indexed citations
15.
Kaji, Keisuke, et al.. (2001). Tumor Necrosis Factor α-Induced Osteoclastogenesis Requires Tumor Necrosis Factor Receptor-Associated Factor 6. Journal of Bone and Mineral Research. 16(9). 1593–1599. 47 indexed citations
16.
Naito, Asuka, et al.. (2000). Depression in COPD Patients. 30(3). 169–174. 1 indexed citations
17.
Inoue, Jun‐ichiro, Takaomi Ishida, Nobuo Tsukamoto, et al.. (2000). Tumor Necrosis Factor Receptor-Associated Factor (TRAF) Family: Adapter Proteins That Mediate Cytokine Signaling. Experimental Cell Research. 254(1). 14–24. 371 indexed citations
18.
Naito, Asuka, Sakura Azuma, Sakae Tanaka, et al.. (1999). Severe osteopetrosis, defective interleukin‐1 signalling and lymph node organogenesis in TRAF6‐deficient mice. Genes to Cells. 4(6). 353–362. 528 indexed citations breakdown →

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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