Shingo Mitsui

961 total citations
56 papers, 419 citations indexed

About

Shingo Mitsui is a scholar working on Plant Science, Electrical and Electronic Engineering and Nuclear and High Energy Physics. According to data from OpenAlex, Shingo Mitsui has authored 56 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Plant Science, 16 papers in Electrical and Electronic Engineering and 10 papers in Nuclear and High Energy Physics. Recurrent topics in Shingo Mitsui's work include Plant nutrient uptake and metabolism (13 papers), Particle Detector Development and Performance (9 papers) and Integrated Circuits and Semiconductor Failure Analysis (6 papers). Shingo Mitsui is often cited by papers focused on Plant nutrient uptake and metabolism (13 papers), Particle Detector Development and Performance (9 papers) and Integrated Circuits and Semiconductor Failure Analysis (6 papers). Shingo Mitsui collaborates with scholars based in Japan, Russia and United States. Shingo Mitsui's co-authors include Kikuo Kumazawa, Kôzô Ishizuka, Chie Oda, Yorinao Inoue, Y. Arai, T. Miyoshi, Hiroshi Hirata, Iwao Watanabe, Toshihiko Sasaki and Y. Unno and has published in prestigious journals such as Proceedings of the IEEE, Soil Science and Plant and Cell Physiology.

In The Last Decade

Shingo Mitsui

54 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shingo Mitsui Japan 9 166 55 50 45 38 56 419
W. S. Ferguson Canada 16 144 0.9× 188 3.4× 28 0.6× 26 0.6× 16 0.4× 34 612
K. E. Anders Ohlsson Sweden 11 37 0.2× 59 1.1× 15 0.3× 50 1.1× 16 0.4× 28 411
J. L. Mortensen United States 11 54 0.3× 63 1.1× 29 0.6× 17 0.4× 10 0.3× 27 298
Junyan Zhong United States 11 68 0.4× 15 0.3× 12 0.2× 42 0.9× 34 0.9× 15 450
Yanfeng Wang China 11 89 0.5× 40 0.7× 83 1.7× 55 1.2× 4 0.1× 40 410
R. Tichý Czechia 11 59 0.4× 23 0.4× 40 0.8× 8 0.2× 10 0.3× 23 401
G. G. Ristori Italy 12 48 0.3× 91 1.7× 14 0.3× 8 0.2× 16 0.4× 25 398
Vincent P. Nero Canada 12 116 0.7× 6 0.1× 7 0.1× 21 0.5× 41 1.1× 18 731
Alan Proctor United States 7 230 1.4× 29 0.5× 35 0.7× 21 0.5× 3 0.1× 18 593
J. S. Hislop United Kingdom 10 28 0.2× 56 1.0× 18 0.4× 13 0.3× 16 0.4× 24 396

Countries citing papers authored by Shingo Mitsui

Since Specialization
Citations

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

Fields of papers citing papers by Shingo Mitsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shingo Mitsui

This figure shows the co-authorship network connecting the top 25 collaborators of Shingo Mitsui. A scholar is included among the top collaborators of Shingo Mitsui 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 Shingo Mitsui. Shingo Mitsui 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.
Mitsui, Shingo, et al.. (2023). Anomaly Detection in Rails Using Dimensionality Reduction. ISIJ International. 63(1). 170–178. 1 indexed citations
2.
Mitsui, Shingo, et al.. (2018). Development of Debye-ring measurement system using SOI pixel detector. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 924. 441–447. 9 indexed citations
3.
Miyoshi, T., Y. Arai, Y. Fujita, et al.. (2015). Advanced monolithic pixel sensors using SOI technology. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 824. 439–442. 6 indexed citations
4.
Takahashi, Y., K. Hara, Y. Ikegami, et al.. (2012). Performance of p-bulk microstrip sensors under 60Co γ irradiation at rates expected at the HL-LHC. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 699. 107–111.
5.
Unno, Y., Y. Ikegami, S. Terada, et al.. (2011). Development of n-in-p silicon planar pixel sensors and flip-chip modules for very high radiation environments. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 650(1). 129–135. 5 indexed citations
6.
Hara, K., Koji Hatano, Shingo Mitsui, et al.. (2008). Characteristics of the irradiated Hamamatsu p-bulk silicon microstrip sensors. 1686–1690. 2 indexed citations
7.
Oda, Chie, et al.. (1999). Fe(II)–Na ion exchange at interlayers of smectite: adsorption–desorption experiments and a natural analogue. Engineering Geology. 54(1-2). 15–20. 56 indexed citations
8.
Takahashi, Kazuhisa, S. Takamiya, & Shingo Mitsui. (1977). A monolithic 1 × 10 array of silicon avalanche photodiodes. Proceedings of the IEEE. 65(12). 1727–1728. 1 indexed citations
9.
Ishizuka, Kôzô, et al.. (1973). Absorption and Translocation of O-Ethyl S, S-Diphenyl Phosphorodithiolate (Hinosan®) in Rice Plants. Agricultural and Biological Chemistry. 37(6). 1307–1316. 1 indexed citations
10.
Mitsui, Shingo, et al.. (1963). Nutritional Study of Silicon in Graminaceous Crops (Part 1). Soil Science & Plant Nutrition. 9(2). 7–11. 17 indexed citations
11.
Mitsui, Shingo, et al.. (1963). Soil Adsorption of Urea II. Soil Science & Plant Nutrition. 9(3). 19–26. 6 indexed citations
12.
Mitsui, Shingo, et al.. (1962). On the utilization of carbon in fertilizers through rice roots under pot experimental condition. Soil Science & Plant Nutrition. 8(6). 16–23. 7 indexed citations
13.
Mitsui, Shingo & Kikuo Kumazawa. (1961). Dynamic Studies on the Nutrient Uptake by Crop Plants (Part 36) : On the Metabolic Pathways of Organic Acids in Rice Roots. Nihon Dojo Hiryogaku zasshi/Nippon dojō hiryōgaku zasshi. 32(9). 433–439. 2 indexed citations
14.
Kumazawa, Kikuo, et al.. (1960). Comparative study of amino acids and amides in relation to asparagine appearance at the panicle formation stage of rice crop. Soil Science & Plant Nutrition. 6(1). 16–18. 1 indexed citations
15.
Mitsui, Shingo, et al.. (1960). Soil adsorption of urea: I. On the mechanism of adsorption of urea. Soil Science & Plant Nutrition. 6(1). 25–29. 7 indexed citations
16.
Kumazawa, Kikuo, et al.. (1960). Asparagine test in relation with the nitrogen nutritional status of crop plants: V. Soil Science & Plant Nutrition. 6(2). 86–90. 3 indexed citations
17.
Mitsui, Shingo & Kôzô Ishizuka. (1960). Dynamic studies on the nutrient uptake by crop plant: XXIX. Soil Science & Plant Nutrition. 6(1). 7–15. 3 indexed citations
18.
Mitsui, Shingo & Kikuo Kumazawa. (1958). Dynamic Studies on the Nutrients Uptake by Crop Plants (Part 18) : Effect of Metabolic Inhibitors on the Uptake of Nutrients by Rice Root Grown under Different Nutritions Conditions. Nihon Dojo Hiryogaku zasshi/Nippon dojō hiryōgaku zasshi. 29(5). 187–192. 1 indexed citations
20.
Mitsui, Shingo, et al.. (1957). Dynamic studies on nutrient uptake by crop plants (Part 14) intake and transformation of H 3 P 32 O 4 in the root of wheat seedlings. Soil Science & Plant Nutrition. 3(1). 65–69. 4 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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