Tohru Suzuki

788 total citations
43 papers, 651 citations indexed

About

Tohru Suzuki is a scholar working on Materials Chemistry, Aerospace Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Tohru Suzuki has authored 43 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Materials Chemistry, 36 papers in Aerospace Engineering and 10 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Tohru Suzuki's work include Nuclear Materials and Properties (37 papers), Nuclear reactor physics and engineering (29 papers) and Nuclear Engineering Thermal-Hydraulics (24 papers). Tohru Suzuki is often cited by papers focused on Nuclear Materials and Properties (37 papers), Nuclear reactor physics and engineering (29 papers) and Nuclear Engineering Thermal-Hydraulics (24 papers). Tohru Suzuki collaborates with scholars based in Japan, United States and Germany. Tohru Suzuki's co-authors include Yoshiharu Tobita, Hidemasa Yamano, Tatsuya Matsumoto, Kenji Kamiyama, Songbai Cheng, Bin Zhang, Koji Morita, K. Koyama, Koji Morita and Shigenobu Kubo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energies and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

Tohru Suzuki

42 papers receiving 558 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tohru Suzuki Japan 16 510 467 185 120 91 43 651
Aram Karbojian Sweden 14 405 0.8× 456 1.0× 154 0.8× 59 0.5× 53 0.6× 36 596
Daniel Magallon Italy 13 724 1.4× 652 1.4× 194 1.0× 100 0.8× 72 0.8× 19 864
I. Huhtiniemi Italy 7 405 0.8× 380 0.8× 102 0.6× 52 0.4× 45 0.5× 14 509
Matjaž Leskovar Slovenia 11 197 0.4× 219 0.5× 99 0.5× 21 0.2× 31 0.3× 35 366
Shigenobu Kubo Japan 10 247 0.5× 260 0.6× 83 0.4× 29 0.2× 35 0.4× 27 336
S. Angelini United States 9 414 0.8× 410 0.9× 104 0.6× 23 0.2× 42 0.5× 18 594
Georges Berthoud France 12 208 0.4× 241 0.5× 180 1.0× 44 0.4× 26 0.3× 31 499
Ikken Sato Japan 14 396 0.8× 360 0.8× 78 0.4× 20 0.2× 82 0.9× 52 471
В. И. Мелихов Russia 11 132 0.3× 206 0.4× 165 0.9× 55 0.5× 23 0.3× 79 341
J.N. Reyes United States 12 230 0.5× 384 0.8× 97 0.5× 26 0.2× 22 0.2× 31 518

Countries citing papers authored by Tohru Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Tohru Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tohru Suzuki

This figure shows the co-authorship network connecting the top 25 collaborators of Tohru Suzuki. A scholar is included among the top collaborators of Tohru Suzuki 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 Tohru Suzuki. Tohru Suzuki 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.
Li, Xin, et al.. (2021). Improvement of solidification model and analysis of 3D channel blockage with MPS method. Frontiers in Energy. 15(4). 946–958. 6 indexed citations
2.
Suzuki, Tohru, et al.. (2021). Development and validation of fuel stub motion model for the disrupted core of a sodium-cooled fast reactor. Nuclear Engineering and Technology. 53(12). 3930–3943.
3.
Suzuki, Tohru, et al.. (2017). Study on In-Vessel Retention (IVR) of unprotected accident for fast reactor ((1) Overview of IVR evaluation in Anticipated Transient without Scram (ATWS)). SHILAP Revista de lepidopterología. 83(848). 16–395. 1 indexed citations
4.
Tobita, Yoshiharu, et al.. (2017). Preliminary analysis of the post-disassembly expansion phase and structural response under unprotected loss of flow accident in prototype sodium cooled fast reactor. SHILAP Revista de lepidopterología. 4(3). 16–597. 5 indexed citations
5.
Tobita, Yoshiharu, Kenji Kamiyama, Tohru Suzuki, et al.. (2016). Development of the evaluation methodology for the material relocation behavior in the core disruptive accident of sodium-cooled fast reactors. Journal of Nuclear Science and Technology. 53(5). 698–706. 26 indexed citations
6.
7.
Suzuki, Tohru, et al.. (2015). A preliminary evaluation of unprotected loss-of-flow accident for a prototype fast-breeder reactor. Nuclear Engineering and Technology. 47(3). 240–252. 25 indexed citations
8.
Suzuki, Tohru, Kenji Kamiyama, Hidemasa Yamano, et al.. (2014). A scenario of core disruptive accident for Japan sodium-cooled fast reactor to achieve in-vessel retention. Journal of Nuclear Science and Technology. 51(4). 493–513. 81 indexed citations
9.
10.
Cheng, Songbai, Hidemasa Yamano, Tohru Suzuki, et al.. (2014). Experimental study and empirical model development for self-leveling behavior of debris bed using gas-injection. SHILAP Revista de lepidopterología. 1(4). TEP0022–TEP0022. 8 indexed citations
11.
Cheng, Songbai, et al.. (2014). The effect of coolant quantity on local fuel–coolant interactions in a molten pool. Annals of Nuclear Energy. 75. 20–25. 11 indexed citations
12.
13.
Cheng, Songbai, Hidemasa Yamano, Tohru Suzuki, et al.. (2013). Empirical correlations for predicting the self-leveling behavior of debris bed. Nuclear Science and Techniques. 24(1). 10602. 10 indexed citations
14.
Cheng, Songbai, Hidemasa Yamano, Tohru Suzuki, et al.. (2013). An experimental investigation on self-leveling behavior of debris beds using gas-injection. Experimental Thermal and Fluid Science. 48. 110–121. 17 indexed citations
15.
Zhang, Bin, Tatsuya Matsumoto, Koji Morita, et al.. (2012). Numerical Simulation of the Self-Leveling Phenomenon by Modified SIMMER-III. 751–760. 4 indexed citations
16.
Zhang, Bin, Tatsuya Matsumoto, Koji Morita, et al.. (2010). Self-Leveling Onset Criteria in Debris Beds. Journal of Nuclear Science and Technology. 47(4). 384–395. 38 indexed citations
17.
Cheng, Songbai, Tatsuya Matsumoto, Koji Morita, et al.. (2010). Experimental Study of Bubble Behavior in a Two-Dimensional Particle Bed With High Solid Holdup. 697–704. 8 indexed citations
18.
Zhang, Bin, Tatsuya Matsumoto, Koji Morita, et al.. (2009). Criteria for occurrence of self-leveling in the debris bed. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 6 indexed citations
19.
Suzuki, Tohru, Hidemasa Yamano, Hiroshi Seino, et al.. (2009). Development of severe accident evaluation technology (Level 2 PSA) for sodium-cooled fast reactors (1) overview of evaluation methodology development. 2. 1110–1119. 10 indexed citations
20.
Suzuki, Tohru, Yoshiharu Tobita, Hidemasa Yamano, et al.. (2003). Development of multicomponent vaporization/condensation model for a reactor safety analysis code SIMMER-III. Nuclear Engineering and Design. 220(3). 240–254. 7 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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