Yuki Kondo

938 total citations
62 papers, 727 citations indexed

About

Yuki Kondo is a scholar working on Computational Mechanics, Physiology and Mechanical Engineering. According to data from OpenAlex, Yuki Kondo has authored 62 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computational Mechanics, 15 papers in Physiology and 12 papers in Mechanical Engineering. Recurrent topics in Yuki Kondo's work include Surface Roughness and Optical Measurements (14 papers), Asthma and respiratory diseases (12 papers) and Pluripotent Stem Cells Research (8 papers). Yuki Kondo is often cited by papers focused on Surface Roughness and Optical Measurements (14 papers), Asthma and respiratory diseases (12 papers) and Pluripotent Stem Cells Research (8 papers). Yuki Kondo collaborates with scholars based in Japan, United States and Taiwan. Yuki Kondo's co-authors include Sachiko Saeki, Hiroto Matsuse, Shigeru Kohno, Chizu Fukushima, Ikuko Machida, Tetsuya Kawano, Yasushi Obase, Shinya Tomari, Ichiro Yoshida and Takayuki Hirai and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Yuki Kondo

56 papers receiving 714 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuki Kondo Japan 16 233 140 133 115 102 62 727
Yoshiyuki Yamada Japan 18 332 1.4× 181 1.3× 180 1.4× 263 2.3× 128 1.3× 75 1.1k
Akira Torii Japan 20 71 0.3× 193 1.4× 104 0.8× 267 2.3× 155 1.5× 75 1.1k
Nakajima Japan 12 162 0.7× 118 0.8× 77 0.6× 108 0.9× 165 1.6× 63 851
Katherine Martin United States 16 63 0.3× 291 2.1× 115 0.9× 217 1.9× 114 1.1× 44 873
Meihua Li China 16 82 0.4× 198 1.4× 130 1.0× 146 1.3× 66 0.6× 46 816
Kwang-Hoon Lee South Korea 13 55 0.2× 126 0.9× 53 0.4× 150 1.3× 104 1.0× 38 795
David S. Long United States 10 93 0.4× 91 0.7× 217 1.6× 54 0.5× 33 0.3× 26 594
Jun Aoki Japan 13 26 0.1× 205 1.5× 121 0.9× 116 1.0× 119 1.2× 21 769
Seungkoo Lee South Korea 18 60 0.3× 472 3.4× 146 1.1× 79 0.7× 95 0.9× 52 1.1k
Aleksandra Popović United States 16 61 0.3× 134 1.0× 129 1.0× 181 1.6× 73 0.7× 40 1.0k

Countries citing papers authored by Yuki Kondo

Since Specialization
Citations

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

Fields of papers citing papers by Yuki Kondo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuki Kondo

This figure shows the co-authorship network connecting the top 25 collaborators of Yuki Kondo. A scholar is included among the top collaborators of Yuki Kondo 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 Yuki Kondo. Yuki Kondo 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.
Kondo, Yuki. (2024). The 1st Step of Surface Roughness Measurement and Filtering. Journal of the Japan Society for Precision Engineering. 90(7). 568–571.
2.
Sato, Tatsuya, et al.. (2023). Toward fully-decentralized system with hyperledger fabric. IEICE Communications Express. 12(5). 223–229.
3.
4.
Kondo, Yuki, et al.. (2021). Verification of Characteristics of Gaussian Filter Series for Surface Roughness in ISO and Proposal of Filter Selection Guidelines. Nanomanufacturing and Metrology. 4(2). 97–108. 11 indexed citations
5.
Kondo, Yuki, et al.. (2020). An Outlier Detection and Exclusion Method Applying Property of Fast M-Estimation Gaussian Filter and Gaussian Filter. Journal of the Japan Society for Precision Engineering. 86(10). 778–783. 1 indexed citations
6.
Yamaguchi, Masaki, et al.. (2020). Research and Proposal on Surface Texture Parameters for The Injection Molded Direct Joining Using Micro Blasting. Journal of the Japan Society for Precision Engineering. 86(6). 486–492. 1 indexed citations
7.
Kondo, Yuki, et al.. (2020). A Study on Edge Preserving Noise Reduction Filter Using Fast M-Estimation Method. Journal of the Japan Society for Precision Engineering. 86(12). 1034–1041. 4 indexed citations
8.
9.
Yoshida, Ichiro, et al.. (2019). Study of a Plateau Surface Evaluation Method Using a Fast M-Estimation Type Hough Transform. International Journal of Automation Technology. 13(1). 118–123. 6 indexed citations
10.
Nakamura, Shogo, Atsushi Maruyama, Yuki Kondo, et al.. (2018). Asymmetricity Between Sister Cells of Pluripotent Stem Cells at the Onset of Differentiation. Stem Cells and Development. 27(5). 347–354. 4 indexed citations
11.
Kondo, Yuki, et al.. (2016). The Fast M-Estimation based Gaussian Filter Controllable in robustness. Journal of the Japan Society for Precision Engineering. 82(3). 272–277. 2 indexed citations
12.
Iwao, Takahiro, Takashi Horikawa, Takuro Niwa, et al.. (2016). Inhibition of mitogen-activated protein kinase kinase, DNA methyltransferase, and transforming growth factor-β promotes differentiation of human induced pluripotent stem cells into enterocytes. Drug Metabolism and Pharmacokinetics. 31(3). 193–200. 9 indexed citations
13.
Kondo, Yuki, et al.. (2014). A Robust Gaussian Filter Corresponding to the Transmisson Characterisic of the Gaussian Filter. Journal of Physics Conference Series. 483. 12016–12016. 3 indexed citations
14.
Kondo, Yuki, et al.. (2013). A Transmission Characteristic of the Robust Gaussian Filter by Using Fast M-Estimation Method. Journal of the Japan Society for Precision Engineering. 79(7). 659–664. 5 indexed citations
15.
Hirai, Takayuki & Yuki Kondo. (2006). Preparation of Y2SiO5:Ln3+ (Ln = Eu, Tb, Sm) and Gd9.33(SiO4)6O2:Ln3+ (Ln = Eu, Tb) Phosphor Fine Particles Using an Emulsion Liquid Membrane System. The Journal of Physical Chemistry C. 111(1). 168–174. 30 indexed citations
16.
Matsuse, Hiroto, Yuki Kondo, Ikuko Machida, et al.. (2006). Effects of anti-inflammatory therapies on recurrent and low-grade respiratory syncytial virus infections in a murine model of asthma. Annals of Allergy Asthma & Immunology. 97(1). 55–60. 13 indexed citations
17.
Machida, Ikuko, Hiroto Matsuse, Yuki Kondo, et al.. (2004). Cysteinyl Leukotrienes Regulate Dendritic Cell Functions in a Murine Model of Asthma. The Journal of Immunology. 172(3). 1833–1838. 83 indexed citations
18.
Kawano, Tetsuya, Hiroto Matsuse, Yuki Kondo, et al.. (2004). Tacrolimus reduces urinary excretion of leukotriene E4 and inhibits aspirin-induced asthma to threshold dose of aspirin. Journal of Allergy and Clinical Immunology. 114(6). 1278–1281. 15 indexed citations
19.
Kondo, Yuki, Hiroto Matsuse, Ikuko Machida, et al.. (2004). Effects of primary and secondary low‐grade respiratory syncytial virus infections in a murine model of asthma. Clinical & Experimental Allergy. 34(8). 1307–1313. 16 indexed citations
20.
Kondo, Yuki, Hiroto Matsuse, Ikuko Machida, et al.. (2003). Regulation of Mite Allergen-pulsed Murine Dendritic Cells by Respiratory Syncytial Virus. American Journal of Respiratory and Critical Care Medicine. 169(4). 494–498. 23 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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