Naoki Takada

1.1k total citations
59 papers, 774 citations indexed

About

Naoki Takada is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Rheumatology. According to data from OpenAlex, Naoki Takada has authored 59 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Pulmonary and Respiratory Medicine and 9 papers in Rheumatology. Recurrent topics in Naoki Takada's work include Sarcoma Diagnosis and Treatment (12 papers), Bone Tumor Diagnosis and Treatments (8 papers) and Neuroscience and Neuropharmacology Research (7 papers). Naoki Takada is often cited by papers focused on Sarcoma Diagnosis and Treatment (12 papers), Bone Tumor Diagnosis and Treatments (8 papers) and Neuroscience and Neuropharmacology Research (7 papers). Naoki Takada collaborates with scholars based in Japan, United States and Vietnam. Naoki Takada's co-authors include Yukio Komatsu, Jun Kawanokuchi, Tetsuya Mizuno, Akio Suzumura, Shijie Jin, Yoshifumi Sonobe, Jinyan Wang, Hideyuki Takeuchi, Guiqin Zhang and Shunichi Fukuzumi and has published in prestigious journals such as Science, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Naoki Takada

54 papers receiving 757 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naoki Takada Japan 16 228 173 115 104 97 59 774
Zhiwei Shen China 21 306 1.3× 106 0.6× 57 0.5× 83 0.8× 97 1.0× 93 1.4k
Emil Malucelli Italy 24 455 2.0× 207 1.2× 108 0.9× 112 1.1× 97 1.0× 71 1.6k
Snehajyoti Chatterjee India 22 721 3.2× 154 0.9× 60 0.5× 106 1.0× 101 1.0× 46 1.3k
Yaoming Chen China 20 352 1.5× 108 0.6× 92 0.8× 31 0.3× 150 1.5× 65 1.1k
Yujing Wang China 18 341 1.5× 153 0.9× 93 0.8× 199 1.9× 62 0.6× 55 1.1k
Frédéric Lallemand Belgium 23 298 1.3× 343 2.0× 111 1.0× 88 0.8× 104 1.1× 37 1.6k
Xiaowen Li China 17 294 1.3× 128 0.7× 75 0.7× 81 0.8× 63 0.6× 44 859
Marzia Lecchi Italy 20 461 2.0× 350 2.0× 56 0.5× 76 0.7× 91 0.9× 50 1.0k
Ming‐Yang Lee Taiwan 14 159 0.7× 69 0.4× 148 1.3× 70 0.7× 123 1.3× 43 975
Sławomir Wójcik Poland 22 525 2.3× 270 1.6× 79 0.7× 91 0.9× 259 2.7× 96 1.3k

Countries citing papers authored by Naoki Takada

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Takada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoki Takada

This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Takada. A scholar is included among the top collaborators of Naoki Takada 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 Takada. Naoki Takada 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.
Takada, Naoki, et al.. (2024). 34‐4: A 270fps Large‐Area Organic Optical Biosensor Array for Digital Physiology and Vein Biometrics. SID Symposium Digest of Technical Papers. 55(1). 443–446.
2.
Echizen, Kanae, Ryota Yamagishi, Miho Kumagai, et al.. (2024). Regular exercise suppresses steatosis‐associated liver cancer development by degrading E2F1 and c‐Myc via circadian gene upregulation. Genes to Cells. 29(11). 1012–1025.
3.
Takada, Naoki, et al.. (2024). Malignant Triton Tumor of the Distal Femur: A Case Report and Review of the Literature. In Vivo. 38(6). 3112–3116. 1 indexed citations
4.
Manaka, Tomoya, et al.. (2024). Parathyroid hormone promotes induction of beige adipocytes and reversibly ameliorates muscle quality and atrophy following chronic rotator cuff tear in a rat model. Journal of Shoulder and Elbow Surgery. 34(1). 172–182. 1 indexed citations
5.
Hoshi, Manabu, et al.. (2022). Outcomes of Sarcopenia Treatment for Malignant Bone and Soft Tissue Tumors in Elderly Patients. Cancer Diagnosis & Prognosis. 2(2). 194–200.
6.
Takada, Naoki, Masaki Takasugi, Tomonori Kamiya, et al.. (2022). Galectin-3 promotes the adipogenic differentiation of PDGFRα+ cells and ectopic fat formation in regenerating muscle. Development. 149(3). 18 indexed citations
7.
Hoshi, Manabu, et al.. (2022). Tumor-skin invasion is a reliable risk factor for poor prognosis in superficial soft tissue sarcomas. PLoS ONE. 17(9). e0274077–e0274077. 1 indexed citations
8.
Takada, Naoki, Yoki Nakamura, Kazue Hisaoka‐Nakashima, et al.. (2021). Treatment with Histone Deacetylase Inhibitor Attenuates Peripheral Inflammation-Induced Cognitive Dysfunction and Microglial Activation: The Effect of SAHA as a Peripheral HDAC Inhibitor. Neurochemical Research. 46(9). 2285–2296. 14 indexed citations
9.
Kimura, Hirokazu, Ryota Sada, Naoki Takada, et al.. (2021). The Dickkopf1 and FOXM1 positive feedback loop promotes tumor growth in pancreatic and esophageal cancers. Oncogene. 40(26). 4486–4502. 29 indexed citations
10.
Nakamura, Yoki, et al.. (2020). Stimulation of toll-like receptor 4 downregulates the expression of α7 nicotinic acetylcholine receptors via histone deacetylase in rodent microglia. Neurochemistry International. 138. 104751–104751. 14 indexed citations
11.
Hiramatsu, Takeshi, et al.. (2020). [A case of cholinergic crisis with persistent watery diarrhea].. PubMed. 117(4). 313–320. 2 indexed citations
12.
Hoshi, Manabu, et al.. (2019). Exploration of the Optimal Shape for Bone Tumour Biopsy. Anticancer Research. 39(8). 4191–4197. 4 indexed citations
13.
Murakami, Yukio, et al.. (2011). Effect of melatonin on cyclooxygenase-2 expression and nuclear factor-kappa B activation in RAW264.7 macrophage-like cells stimulated with fimbriae of Porphyromonas gingivalis.. PubMed. 25(4). 641–7. 30 indexed citations
14.
Takase, Izumi, et al.. (2009). Measurement of force to obstruct the cervical arteries and distribution of tension exerted on a ligature in hanging. Legal Medicine. 11(4). 175–180. 10 indexed citations
15.
Murakami, Yukio, Hiroaki Ishii, Naoki Takada, et al.. (2009). Antioxidant and cyclooxygenase-2-inhibiting activity of 4,4'-biphenol, 2,2'-biphenol and phenol.. PubMed. 29(6). 2403–10. 13 indexed citations
16.
Ren, Ming, et al.. (2007). Specialized Inhibitory Synaptic Actions Between Nearby Neocortical Pyramidal Neurons. Science. 316(5825). 758–761. 64 indexed citations
18.
Ichimiya, R., Yuji Arai, M. Ikeno, et al.. (2005). Radiation qualification of electronics components used for the ATLAS level-1 muon endcap trigger system. IEEE Symposium Conference Record Nuclear Science 2004.. 2. 779–783. 1 indexed citations
19.
Takada, Naoki, Shinobu Itoh, & Shunichi Fukuzumi. (1996). Mechanism of Electron Transfer Oxidation of 4-Substituted 1-Benzyl-1,4-dihydronicotinamides. Chemistry Letters. 25(12). 1103–1104. 11 indexed citations
20.
Uchino, Junji, Osamu Nishida, & Naoki Takada. (1986). [Surgical treatment of metastatic hepatic cancers].. PubMed. 32(10). 1273–7. 1 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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