K. Yasuda

427 total citations
19 papers, 391 citations indexed

About

K. Yasuda is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, K. Yasuda has authored 19 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Immunology. Recurrent topics in K. Yasuda's work include Advanced X-ray Imaging Techniques (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Peptidase Inhibition and Analysis (3 papers). K. Yasuda is often cited by papers focused on Advanced X-ray Imaging Techniques (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Peptidase Inhibition and Analysis (3 papers). K. Yasuda collaborates with scholars based in Japan. K. Yasuda's co-authors include Hiroshi Fujiwara, Kenji Takakura, Kimitoshi Imai, M Maeda, Hideharu Kanzaki, Tomoya Mori, Junji Yodoi, Nobuhiro Noro, Tomoya Mori and M Adachi and has published in prestigious journals such as The Journal of Immunology, The Journal of Clinical Endocrinology & Metabolism and Brain Research.

In The Last Decade

K. Yasuda

17 papers receiving 381 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Yasuda Japan 11 198 88 88 62 57 19 391
G. T. Waites United Kingdom 17 320 1.6× 169 1.9× 90 1.0× 25 0.4× 27 0.5× 29 726
Masataka Karube Japan 16 113 0.6× 146 1.7× 81 0.9× 112 1.8× 46 0.8× 29 800
Robert P. Milius United States 10 137 0.7× 283 3.2× 35 0.4× 119 1.9× 24 0.4× 17 596
Natsuki Sasaki Japan 10 171 0.9× 382 4.3× 15 0.2× 14 0.2× 74 1.3× 17 677
Ming Nguy Thang France 11 144 0.7× 223 2.5× 20 0.2× 11 0.2× 59 1.0× 12 448
Yueh J. Chang United States 10 114 0.6× 189 2.1× 7 0.1× 15 0.2× 78 1.4× 13 489
Yoshihiro Umezawa Japan 13 122 0.6× 181 2.1× 13 0.1× 7 0.1× 116 2.0× 45 533
Shiang‐Jong Tzeng Taiwan 9 388 2.0× 379 4.3× 4 0.0× 109 1.8× 48 0.8× 21 766
B. Maurer‐Schultze Germany 11 31 0.2× 188 2.1× 15 0.2× 16 0.3× 83 1.5× 38 418
Michael A. Zschunke United States 11 54 0.3× 418 4.8× 11 0.1× 15 0.2× 59 1.0× 17 665

Countries citing papers authored by K. Yasuda

Since Specialization
Citations

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

Fields of papers citing papers by K. Yasuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Yasuda

This figure shows the co-authorship network connecting the top 25 collaborators of K. Yasuda. A scholar is included among the top collaborators of K. Yasuda 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 K. Yasuda. K. Yasuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Ejima, Takeo, M. Kado, Masato Aoyama, K. Yasuda, & Satoshi Tamotsu. (2017). Organelle Distribution in a Hydrated Bio-cell by Correlation between Soft X-ray and Fluorescence Images. Journal of Physics Conference Series. 849. 12009–12009. 1 indexed citations
2.
Kado, M., Maki Kishimoto, Satoshi Tamotsu, et al.. (2016). Correlative imaging of live biological cells with a soft x-ray microscope and a fluorescence microscope. AIP conference proceedings. 1696. 20019–20019. 4 indexed citations
3.
Kado, M., Maki Kishimoto, Satoshi Tamotsu, K. Yasuda, & K. Shinohara. (2013). In situ observation of cellular organelles with a contact x-ray microscope. Journal of Physics Conference Series. 463. 12056–12056. 13 indexed citations
4.
Kado, M., Masahiko Ishino, Satoshi Tamotsu, et al.. (2011). Observation of Organelles in Leydig Cells by Contact Soft X-Ray Microscopy with a Laser Plasma X-Ray Source. AIP conference proceedings. 391–394. 5 indexed citations
5.
Yasuda, K., et al.. (2003). The effects of pitch tilt on postrotatory nystagmus in cats. Brain Research. 991(1-2). 65–70. 5 indexed citations
6.
Yasuda, K., et al.. (2003). FcγRIIB gene polymorphisms in Japanese periodontitis patients. Genes and Immunity. 4(8). 541–546. 33 indexed citations
7.
Yasuda, K., Noriko Sugita, K. Yamamoto, Toru Kobayashi, & Hiromasa Yoshie. (2001). Seven single nucleotide substitutions in human Fcγ receptor IIB gene. Tissue Antigens. 58(5). 339–342. 10 indexed citations
8.
Fushiki, Hiroaki, Satoru Takata, K. Yasuda, & Yukio Watanabe. (2000). Directional preponderance in pitch circular vection. Journal of Vestibular Research. 10(2). 93–98. 4 indexed citations
9.
Fujiwara, Hiroshi, K. Yasuda, Masamichi Ueda, et al.. (1994). Cytokines stimulate dipeptidyl peptidase-IV expression on human luteinizing granulosa cells.. The Journal of Clinical Endocrinology & Metabolism. 79(4). 1007–1011. 48 indexed citations
10.
Fujiwara, Hiroshi, Masamichi Ueda, K. Yasuda, et al.. (1994). A new monoclonal antibody (POG-1) detects a differentiation antigen of porcine granulosa and thecal cells and indicates heterogeneity of thecal-stromal cells.. Endocrinology. 134(3). 1132–1138. 10 indexed citations
11.
Sathirakul, Korbtham, Hiroshi Suzuki, K. Yasuda, Manabu Hanano, & Yuichi Sugiyama. (1993). Construction of a Physiologically Based Pharmacokinetic Model to Describe the Hepatobiliary Excretion Process of Ligands: Quantitative Estimation of Intracellular Diffusion.. Biological and Pharmaceutical Bulletin. 16(3). 273–279. 12 indexed citations
12.
Fujiwara, Hiroshi, M Maeda, Masashi Ueda, et al.. (1993). A differentiation-related molecule on the cell surface of human granulosa cells.. The Journal of Clinical Endocrinology & Metabolism. 76(4). 956–961. 33 indexed citations
13.
Yasuda, K., Hiroshi Fujiwara, Mieko Iwai, et al.. (1992). Cytokine modulation of progesterone and estradiol secretion in cultures of luteinized human granulosa cells.. The Journal of Clinical Endocrinology & Metabolism. 75(1). 254–258. 75 indexed citations
14.
Fujiwara, Hiroshi, M Maeda, Kimitoshi Imai, et al.. (1992). Human luteal cells express dipeptidyl peptidase IV on the cell surface.. The Journal of Clinical Endocrinology & Metabolism. 75(5). 1352–1357. 30 indexed citations
15.
Yasuda, K., et al.. (1992). Hyalinizing trabecular adenoma.. PubMed. 4(2). 83–6. 8 indexed citations
16.
Fujiwara, Hiroshi, M Maeda, Kimitoshi Imai, et al.. (1992). Differential expression of aminopeptidase-N on human ovarian granulosa and theca cells.. The Journal of Clinical Endocrinology & Metabolism. 74(1). 91–95. 41 indexed citations
17.
Mizukoshi, K., et al.. (1991). Eye Movement Elicited by Linear Acceleration. Acta Oto-Laryngologica. 111(sup481). 34–36.
18.
Noro, Nobuhiro, et al.. (1986). Monoclonal antibody (H107) inhibiting IgE binding to Fc epsilon R(+) human lymphocytes.. The Journal of Immunology. 137(4). 1258–1263. 58 indexed citations
19.
Ishikawa, Eiji, Takahiro Nishi, Masafumi Matsuo, et al.. (1983). [Clinical studies on the prognosis of 150 cases of acute renal failure].. PubMed. 29(2). 169–83. 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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