Takashi Norikane

640 total citations
79 papers, 333 citations indexed

About

Takashi Norikane is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Takashi Norikane has authored 79 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Radiology, Nuclear Medicine and Imaging, 26 papers in Pulmonary and Respiratory Medicine and 15 papers in Genetics. Recurrent topics in Takashi Norikane's work include Medical Imaging Techniques and Applications (24 papers), Glioma Diagnosis and Treatment (14 papers) and Sarcoidosis and Beryllium Toxicity Research (14 papers). Takashi Norikane is often cited by papers focused on Medical Imaging Techniques and Applications (24 papers), Glioma Diagnosis and Treatment (14 papers) and Sarcoidosis and Beryllium Toxicity Research (14 papers). Takashi Norikane collaborates with scholars based in Japan, United States and Armenia. Takashi Norikane's co-authors include Yoshihiro Nishiyama, Yuka Yamamoto, Yukito Maeda, Takahisa Noma, Hiroaki Dobashi, Nobuyuki Kudomi, Tetsuhiro Hatakeyama, Masaki Okada, Keisuke Miyake and Hiroshi Hoshikawa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Radiology.

In The Last Decade

Takashi Norikane

59 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takashi Norikane Japan 10 132 125 62 51 49 79 333
Shoko Takano Japan 10 98 0.7× 87 0.7× 34 0.5× 60 1.2× 73 1.5× 32 360
Shingo Hashimoto Japan 12 55 0.4× 198 1.6× 41 0.7× 30 0.6× 68 1.4× 50 409
Mohei Abouzied Saudi Arabia 10 170 1.3× 115 0.9× 16 0.3× 42 0.8× 117 2.4× 31 438
Girish Kumar Parida India 10 134 1.0× 139 1.1× 27 0.4× 54 1.1× 49 1.0× 54 326
M. Solèr Spain 12 171 1.3× 233 1.9× 28 0.5× 22 0.4× 59 1.2× 60 378
Shakher Ramdave Australia 11 140 1.1× 269 2.2× 15 0.2× 89 1.7× 62 1.3× 16 413
Susan Prendeville Ireland 11 44 0.3× 242 1.9× 16 0.3× 73 1.4× 73 1.5× 24 380
Amy Watkins United Kingdom 10 32 0.2× 145 1.2× 31 0.5× 40 0.8× 65 1.3× 17 405
Jae Gol Choe South Korea 13 138 1.0× 81 0.6× 15 0.2× 14 0.3× 55 1.1× 28 319
J.R. García Spain 12 201 1.5× 233 1.9× 23 0.4× 15 0.3× 69 1.4× 48 390

Countries citing papers authored by Takashi Norikane

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Norikane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takashi Norikane

This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Norikane. A scholar is included among the top collaborators of Takashi Norikane 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 Takashi Norikane. Takashi Norikane 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.
Norikane, Takashi, et al.. (2025). Increased Uptake of 18F-THK5351 in Glioblastoma But Not in Metastatic Brain Tumor. Clinical Nuclear Medicine. 50(11). 1037–1038.
2.
Kudomi, Nobuyuki, Yukito Maeda, Masatoshi Morimoto, et al.. (2025). Resolution and quality enhancement of SPECT cerebral blood flow images using Pix2pix deep learning. Annals of Nuclear Medicine. 40(3). 319–326.
3.
4.
Norikane, Takashi, et al.. (2024). WITHDRAWN: Feasibility of PiB PET/CT for treatment monitoring with Tafamidis in a patient with ATTR-CA. Journal of Nuclear Cardiology. 101800–101800.
5.
Kudomi, Nobuyuki, Takashi Norikane, Yukito Maeda, et al.. (2024). Appearance time of blood in the brain as a possible indicator of oxygen extraction fraction: a feasibility study. EJNMMI Research. 14(1). 97–97. 2 indexed citations
6.
Norikane, Takashi, Yuka Yamamoto, Kenichi Tanaka, et al.. (2024). Texture Features of 18F-Fluorodeoxyglucose Positron Emission Tomography for Predicting Programmed Death-Ligand-1 Levels in Non-Small Cell Lung Cancer. Journal of Clinical Medicine. 13(6). 1625–1625. 1 indexed citations
7.
Norikane, Takashi, et al.. (2024). Feasibility of PiB positron emission tomography/computed tomography for treatment monitoring with Tafamidis in a patient with transthyretin cardiac amyloidosis. Journal of Nuclear Cardiology. 33. 101816–101816. 2 indexed citations
8.
Norikane, Takashi, et al.. (2023). Omental arteriovenous fistula after splenectomy treated with transarterial embolization. CVIR Endovascular. 6(1). 28–28.
9.
10.
Norikane, Takashi, Yuka Yamamoto, Hiromi Shimada, et al.. (2023). [18F] FDG uptake in patients with spondyloarthritis: correlation with serum inflammatory biomarker levels. EJNMMI Research. 13(1). 15–15. 4 indexed citations
11.
12.
Norikane, Takashi, et al.. (2023). FDG PET texture indices as imaging biomarkers for epidermal growth factor receptor mutation status in lung adenocarcinoma. Scientific Reports. 13(1). 6742–6742. 1 indexed citations
13.
Ohbayashi, Yumiko, et al.. (2022). The effect of zoledronic acid and denosumab on the mandible and other bones: a 18F-NaF-PET study. Oral Radiology. 38(4). 594–600. 5 indexed citations
14.
Norikane, Takashi, Yuka Yamamoto, Tamaki Tanaka, et al.. (2022). Correlation of bone marrow 2-deoxy-2-[18F]fluoro-D-glucose uptake with systemic inflammation in patients with newly diagnosed endometrial cancer. Nuclear Medicine Communications. 43(8). 916–921. 2 indexed citations
15.
Norikane, Takashi, Yuka Yamamoto, Makiko Murota, et al.. (2021). Correlation of epidermal growth factor receptor mutation status and PD-L1 expression with [18F]FDG PET using volume-based parameters in non-small cell lung cancer. Nuclear Medicine Communications. 43(3). 304–309. 6 indexed citations
16.
Norikane, Takashi, Yuka Yamamoto, Keisuke Matsumoto, et al.. (2021). Whole-body PET angiography on semiconductor PET/CT. Journal of Nuclear Cardiology. 29(2). 885–888.
17.
Norikane, Takashi, et al.. (2021). Clinical significance of PET angiography in Takayasu arteritis. Journal of Nuclear Cardiology. 29(6). 3576–3578.
18.
Fukuda, Yuko, Yuka Yamamoto, Ryou Ishikawa, et al.. (2019). 4′-[methyl-11C]-thiothymidine as a proliferation imaging tracer for detection of colorectal cancer: comparison with 18F-FDG. Annals of Nuclear Medicine. 33(11). 822–827. 6 indexed citations
19.
Yamamoto, Yuka, Masaki Ueno, Yoichi Chiba, et al.. (2018). Correlation of 4′-[methyl-11C]-thiothymidine uptake with human equilibrative nucleoside transporter-1 and thymidine kinase-1 expressions in patients with newly diagnosed gliomas. Annals of Nuclear Medicine. 32(9). 634–641. 2 indexed citations
20.
Norikane, Takashi, Yuka Yamamoto, Yukito Maeda, Takahisa Noma, & Yoshihiro Nishiyama. (2014). 18F-FLT PET Imaging in a Patient With Sarcoidosis With Cardiac Involvement. Clinical Nuclear Medicine. 40(5). 433–434. 17 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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