Junko Shibata

1.2k total citations
58 papers, 818 citations indexed

About

Junko Shibata is a scholar working on Condensed Matter Physics, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Junko Shibata has authored 58 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Condensed Matter Physics, 17 papers in Materials Chemistry and 9 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Junko Shibata's work include Physics of Superconductivity and Magnetism (25 papers), ZnO doping and properties (10 papers) and Copper Interconnects and Reliability (6 papers). Junko Shibata is often cited by papers focused on Physics of Superconductivity and Magnetism (25 papers), ZnO doping and properties (10 papers) and Copper Interconnects and Reliability (6 papers). Junko Shibata collaborates with scholars based in Japan, United States and Serbia. Junko Shibata's co-authors include Tsukasa Hirayama, I. Hirabayashi, Yuh Shiohara, Teruo Izumi, Hiroshi Fuji, Yuichi Ikuhara, Ryo Teranishi, Takeshi Araki, Toshihiro Ona and Katsuya Yamagiwa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Applied Physics.

In The Last Decade

Junko Shibata

55 papers receiving 788 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junko Shibata Japan 17 438 346 164 125 106 58 818
Toshio Kitamura Japan 11 217 0.5× 140 0.4× 104 0.6× 121 1.0× 45 0.4× 16 468
Daniel S. Green United States 14 302 0.7× 91 0.3× 133 0.8× 251 2.0× 51 0.5× 29 793
Stephen R. Lee United States 14 681 1.6× 411 1.2× 286 1.7× 276 2.2× 216 2.0× 38 1.3k
J. Lindner Germany 12 100 0.2× 131 0.4× 200 1.2× 98 0.8× 37 0.3× 27 450
Rui Xiong China 11 187 0.4× 156 0.5× 110 0.7× 33 0.3× 66 0.6× 41 783
Hongyu Guo United States 14 93 0.2× 528 1.5× 44 0.3× 33 0.3× 161 1.5× 24 1.1k
Deyao Li China 20 798 1.8× 359 1.0× 324 2.0× 527 4.2× 242 2.3× 70 1.5k
Birgit Vogt Germany 15 84 0.2× 62 0.2× 94 0.6× 23 0.2× 15 0.1× 35 632
Ming Pan China 14 446 1.0× 124 0.4× 253 1.5× 432 3.5× 61 0.6× 57 842
Y Sawai Japan 14 86 0.2× 217 0.6× 370 2.3× 48 0.4× 177 1.7× 44 668

Countries citing papers authored by Junko Shibata

Since Specialization
Citations

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

Fields of papers citing papers by Junko Shibata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junko Shibata

This figure shows the co-authorship network connecting the top 25 collaborators of Junko Shibata. A scholar is included among the top collaborators of Junko Shibata 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 Junko Shibata. Junko Shibata 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.
Kaga, Chiaki, Junko Shibata, Hajime Tsujimoto, et al.. (2024). Characterization of faecal microbiota and serum inflammatory markers in dogs diagnosed with chronic enteropathy or small-cell lymphoma: a pilot study. Scientific Reports. 14(1). 19387–19387. 2 indexed citations
2.
Tanaka, Masayuki, et al.. (2019). GALAXY CRUISE: Accessible Big Data of the Subaru Telescope for Citizen Astronomers. Proceedings of the International Astronomical Union. 15(S367). 218–222. 1 indexed citations
3.
Yamada, Chinatsu, Koichiro Kuwahara, Masatoshi Yamazaki, et al.. (2015). The renin–angiotensin system promotes arrhythmogenic substrates and lethal arrhythmias in mice with non-ischaemic cardiomyopathy. Cardiovascular Research. 109(1). 162–173. 15 indexed citations
4.
Shibata, Junko, et al.. (2011). Data Mining for Hazard Elimination through Text Information in Accident Report. Asia Pacific Management Review. 16(1). 65–81. 3 indexed citations
5.
Sugiura, Wataru, et al.. (2011). Change of Positive Selection Pressure on HIV-1 Envelope Gene Inferred by Early and Recent Samples. PLoS ONE. 6(4). e18630–e18630. 20 indexed citations
6.
Shibata, Junko, Wataru Sugiura, Hirotaka Ode, et al.. (2011). Within-host co-evolution of Gag P453L and protease D30N/N88D demonstrates virological advantage in a highly protease inhibitor-exposed HIV-1 case. Antiviral Research. 90(1). 33–41. 8 indexed citations
7.
Shibata, Junko, et al.. (2010). Analysis of decision-making model of selection based on consumer's purchase behavior. 26. 144–144. 1 indexed citations
8.
Ona, Toshihiro & Junko Shibata. (2010). Advanced dynamic monitoring of cellular status using label-free and non-invasive cell-based sensing technology for the prediction of anticancer drug efficacy. Analytical and Bioanalytical Chemistry. 398(6). 2505–2533. 19 indexed citations
9.
10.
Hasegawa, Naoki, Wataru Sugiura, Junko Shibata, et al.. (2009). Inferring within-patient HIV-1 evolutionary dynamics under anti-HIV therapy using serial virus samples with vSPA. BMC Bioinformatics. 10(1). 360–360. 4 indexed citations
11.
Shibata, Junko, et al.. (2008). EVALUATION AND ASSIGNMENT OF TRAFFIC VOLUME FOR URBAN PLANNING BASED ON PLANNER AND USER STANCES. International journal of innovative computing, information & control. 4(5). 1151–1160. 2 indexed citations
12.
Shibata, Junko, et al.. (2005). Knowledge Discovery from Questionnaire Survey by Nonlinear Optimization(Mathematics of Optimization : Methods and Practical Solutions). Kyoto University Research Information Repository (Kyoto University). 1461. 148–153. 1 indexed citations
13.
Shibata, Junko, et al.. (2005). Decision Making Support Mechanism of Portfolio Selection in Multiple Period Consumption and Investment Model. Asia Pacific Management Review. 10(3). 169–173.
14.
Fuji, Hiroshi, Yoshitaka Tokunaga, Ryo Teranishi, et al.. (2002). Basic technique of fabricating YBCO coated conductors by TFA-MOD method (2). 67. 232. 1 indexed citations
15.
16.
Honjo, Tetsuji, Hiroshi Fuji, Yuichi Nakamura, et al.. (2002). Growth Mechanism of Y123 Film by MOD-TFA Method. Journal of the Japan Institute of Metals and Materials. 66(3). 151–154. 13 indexed citations
17.
Araki, Takeshi, et al.. (2001). Coating processes for YBa2Cu3O7-xsuperconductor by metalorganic deposition method using trifluoroacetates. Superconductor Science and Technology. 14(9). 783–786. 22 indexed citations
18.
Shibata, Junko, et al.. (2001). Influence of antiphase boundaries on critical current densities in Yba2Cu3O7−ysingle crystals. Journal of materials research/Pratt's guide to venture capital sources. 16(7). 1935–1941. 4 indexed citations
19.
Shibata, Junko, Hidemi Goto, Tomiyasu Arisawa, et al.. (1999). Regulation of tumour necrosis factor (TNF) induced apoptosis by soluble TNF receptors in Helicobacter pylori infection. Gut. 45(1). 24–31. 45 indexed citations
20.
Yamagiwa, Katsuya, et al.. (1999). Characterization of the YbBa2Cu3O7-y and YBa2Cu3O7-y thin superconducting films prepared by chemical solution deposition on MgO(001) substrate. Journal of Electron Microscopy. 48(6). 785–789. 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.

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