Naoki Kodama

771 total citations
99 papers, 527 citations indexed

About

Naoki Kodama is a scholar working on Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Naoki Kodama has authored 99 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Atomic and Molecular Physics, and Optics, 17 papers in Electronic, Optical and Magnetic Materials and 15 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Naoki Kodama's work include Magnetic properties of thin films (24 papers), Magnetic Properties and Applications (10 papers) and Non-Invasive Vital Sign Monitoring (10 papers). Naoki Kodama is often cited by papers focused on Magnetic properties of thin films (24 papers), Magnetic Properties and Applications (10 papers) and Non-Invasive Vital Sign Monitoring (10 papers). Naoki Kodama collaborates with scholars based in Japan, United Kingdom and Australia. Naoki Kodama's co-authors include Y. Uesaka, Etsuro Yamaguchi, Noriko Sakurai, Akichika Itoh, Ken Furuya, N. Ohnuma, N. Hizawa, Yoshikazu Kawakami, Shingo Takahashi and Ichiro Fukumoto and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and NeuroImage.

In The Last Decade

Naoki Kodama

86 papers receiving 503 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 Kodama Japan 11 96 82 78 71 57 99 527
Dong-Ok Kim South Korea 13 101 1.1× 70 0.9× 46 0.6× 15 0.2× 82 1.4× 68 668
Po‐Lin Chen Taiwan 18 56 0.6× 99 1.2× 56 0.7× 21 0.3× 113 2.0× 85 947
Mitsuru Suzuki Japan 13 46 0.5× 78 1.0× 102 1.3× 17 0.2× 75 1.3× 47 544
Maoxue Wang China 11 29 0.3× 31 0.4× 30 0.4× 83 1.2× 54 0.9× 29 479
Masahiro Sawada Japan 17 33 0.3× 195 2.4× 229 2.9× 100 1.4× 84 1.5× 118 1.3k
R. J. Walters United Kingdom 15 73 0.8× 82 1.0× 7 0.1× 32 0.5× 75 1.3× 31 636
Shih-Wei Chen Taiwan 8 64 0.7× 191 2.3× 38 0.5× 15 0.2× 24 0.4× 11 402
Olivier Scheidegger Switzerland 17 57 0.6× 13 0.2× 26 0.3× 202 2.8× 115 2.0× 45 834
Po‐Liang Chen Taiwan 15 37 0.4× 64 0.8× 39 0.5× 100 1.4× 49 0.9× 47 635
Chiharu Tanaka Japan 9 19 0.2× 33 0.4× 57 0.7× 24 0.3× 42 0.7× 57 385

Countries citing papers authored by Naoki Kodama

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Kodama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoki Kodama

This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Kodama. A scholar is included among the top collaborators of Naoki Kodama 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 Kodama. Naoki Kodama 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.
Kodama, Naoki, et al.. (2025). Classifying the molecular subtype of breast cancer using vision transformer and convolutional neural network features. Breast Cancer Research and Treatment. 210(3). 771–782.
2.
Ochi, Genta, Ken Ohno, Koya Yamashiro, et al.. (2024). Exercising with virtual reality is potentially better for the working memory and positive mood than cycling alone. Mental health and physical activity. 27. 100641–100641. 2 indexed citations
3.
4.
Sasaki, Kei, et al.. (2023). Identification of areas of the brain activated by active stimulation in hairless skin. Behavioural Brain Research. 458. 114758–114758. 2 indexed citations
5.
Takahashi, Shingo, Yosuke Tomita, Shigeya Tanaka, Noriko Sakurai, & Naoki Kodama. (2022). Prefrontal Cerebral Oxygenated Hemoglobin Concentration during the Category Fluency and Finger-Tapping Tasks in Adults with and without Mild Cognitive Impairment: A Near-Infrared Spectroscopy Study. Brain Sciences. 12(12). 1636–1636. 6 indexed citations
6.
Kojima, Sho, Ken Ohno, Noriko Sakurai, et al.. (2021). Gray Matter Volume Variability in Young Healthy Adults: Influence of Gender Difference and Brain-Derived Neurotrophic Factor Genotype. Cerebral Cortex. 32(12). 2635–2643. 3 indexed citations
7.
Sakurai, Noriko, et al.. (2021). Induction of Relaxation by Autonomous Sensory Meridian Response. Frontiers in Behavioral Neuroscience. 15. 761621–761621. 16 indexed citations
8.
Kodama, Naoki, et al.. (2012). Standardization&application expansion activity of removable HDD (iVDR) : The iVDR Consortium and International Standardization. 112(354). 25–30.
9.
Kodama, Naoki, Yasumitsu Kodama, Eiichiro Tanaka, et al.. (2011). Clinical application of Mohs paste for a patient with a facial skin metastatic mass arising from terminal oral cancer. Japanese Journal of Oral & Maxillofacial Surgery. 57(10). 558–562. 1 indexed citations
10.
Takeuchi, Hiroshi, et al.. (2011). Analysis of time-series correlation between weighted lifestyle data and health data. PubMed. 2011. 1511–1514. 1 indexed citations
11.
Kodama, Naoki, et al.. (2010). Discharge mechanism in HDD. Journal of the Magnetics Society of Japan. 34(1). 39–44. 1 indexed citations
12.
Takeuchi, Hiroshi, et al.. (2009). Time-series data analysis of blood-sugar level of a diabetic in relationship to lifestyle events. PubMed. 21. 5195–5198. 2 indexed citations
13.
Kodama, Naoki, et al.. (2008). New HDD-market perspective. IEICE Technical Report; IEICE Tech. Rep.. 108(346). 13–18.
14.
Takeuchi, Hiroshi, et al.. (2007). Time-series Data Analyses for Healthcare-data-mining Based on a Personal Dynamic Healthcare System. 2223. 3 indexed citations
15.
Ogawa, Hiroyasu, et al.. (2006). Postoperative Cervical Kyphosis After Atlantoaxial Fixation and Cervical Expansive Laminoplasty at One Time. Journal of Spinal Disorders & Techniques. 19(8). 607–611. 2 indexed citations
16.
Kodama, Naoki & Tomoyuki Kaneko. (2005). Development of Automatic Extraction of the Corpus Callosum from Magnetic Resonance Imaging of the Head and Examination of the Early Dementia Objective Diagnostic Technique in Feature Analysis. Japanese Journal of Radiological Technology. 61(8). 1133–1139. 1 indexed citations
17.
Kaneko, Tomoyuki, et al.. (2004). Automatic Extraction of Corpus Callosum from Midsagittal Head MR Image and Examination of Alzheimer-type Dementia Objective Diagnostic System in Feature Analysis. Japanese Journal of Radiological Technology. 60(2). 293–298. 1 indexed citations
18.
Kodama, Naoki, et al.. (2002). Application of Run Length Matrix to Magnetic Resonance Imaging Diagnosis of Alzheimer-type Dementia(<Scientific Paper>Original). Japanese Journal of Radiological Technology. 58(11). 1502–1508. 11 indexed citations
19.
Kodama, Naoki. (2002). The Possibility of Magnetic Resonance Imaging-Based Diagnosis of Alzheimer-Type Dementia. IEICE Transactions on Information and Systems. 85(3). 592–596. 3 indexed citations
20.
Kodama, Naoki, et al.. (1996). Three-Dimensional Dynamic Magnetic Field Analysis of Thin-Film Heads.. Journal of the Magnetics Society of Japan. 20(2). 113–116. 3 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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