Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Development of realistic high-resolution whole-body voxel models of Japanese adult males and females of average height and weight, and application of models to radio-frequency electromagnetic-field dosimetry
2003581 citationsSoichi Watanabe, Masao Taki et al.Physics in Medicine and Biologyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Masao Taki'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 Masao Taki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masao Taki more than expected).
This network shows the impact of papers produced by Masao Taki. 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 Masao Taki. The network helps show where Masao Taki may publish in the future.
Co-authorship network of co-authors of Masao Taki
This figure shows the co-authorship network connecting the top 25 collaborators of Masao Taki.
A scholar is included among the top collaborators of Masao Taki 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 Masao Taki. Masao Taki is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sekine, Daisuke & Masao Taki. (2013). Human exposure assessment of the wireless power transmission device using the coupling factor of IEC62311. IEICE technical report. Speech. 113(259). 7–12.4 indexed citations
11.
Taki, Masao. (2013). Assessment of possible health risks of electro-magnetic field exposures due to emerging technologies. 3–4.3 indexed citations
12.
Fujiwara, Osamu, et al.. (2011). Analysis of Temperature Elevation in the Lens of Human and Rabbit Models for Localized Microwave Exposure at 2.45GHz. IEICE technical report. Speech. 111(131). 65–69.1 indexed citations
13.
Taguchi, T., et al.. (2010). Millimeter-wave exposure apparatus with horn antenna and application to in vitro experiment. IEICE Technical Report; IEICE Tech. Rep.. 109(370). 151–156.1 indexed citations
Ikehata, Masateru, et al.. (2007). Effects of combined magnetic fields with static and 50Hz on mutagenesis. IEICE Technical Report; IEICE Tech. Rep.. 107(310). 57–61.1 indexed citations
17.
Wake, Kanako, et al.. (2006). SAR analysis for a large-scale and long-term animal experiment of exposure to 2-GHz W-CDMA signals. IEICE Technical Report; IEICE Tech. Rep.. 106(94). 43–47.1 indexed citations
18.
Watanabe, Soichi, et al.. (2004). A New Iterative MoM/FDTD Formulation for Simulating Human Exposure to Electromagnetic Waves. IEICE Transactions on Electronics. 87(9). 1540–1547.4 indexed citations
19.
Taki, Masao, Soichi Watanabe, & Toshio Nojima. (1996). FDTD Analysis of Electromagnetic Interaction between Portable Telephone and Human Head (Special Issue on Electromagnetic Theory : Foundation and Applications). IEICE Transactions on Electronics. 79(10). 1300–1307.4 indexed citations
20.
Watanabe, Soichi, et al.. (1994). An Analysis of Dose in Tissue Irradiated by Near Field of a Circular Loop Antenna (Special Issue on Biological Effects of Electromagnetic Fields). IEICE Transactions on Communications. 77(6). 754–761.1 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.