Yasuyo Kasai

1.3k total citations
24 papers, 954 citations indexed

About

Yasuyo Kasai is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Yasuyo Kasai has authored 24 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Physiology. Recurrent topics in Yasuyo Kasai's work include Nitric Oxide and Endothelin Effects (4 papers), Pharmacological Receptor Mechanisms and Effects (3 papers) and Colorectal Cancer Treatments and Studies (3 papers). Yasuyo Kasai is often cited by papers focused on Nitric Oxide and Endothelin Effects (4 papers), Pharmacological Receptor Mechanisms and Effects (3 papers) and Colorectal Cancer Treatments and Studies (3 papers). Yasuyo Kasai collaborates with scholars based in Japan, United States and Poland. Yasuyo Kasai's co-authors include Michael E. Mendelsohn, Naoki Mochizuki, Kwong‐Yui Tang, S Georgescu, Thomas Lincoln, Masaaki Ito, Howard K. Surks, S Akiyama, K. Hibi and Hiroshi Takagi and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Physiology.

In The Last Decade

Yasuyo Kasai

24 papers receiving 931 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yasuyo Kasai Japan 11 629 263 179 171 106 24 954
Ramón Dı́az-Trelles Spain 14 639 1.0× 107 0.4× 100 0.6× 104 0.6× 73 0.7× 29 894
Kenta Magoori Japan 15 555 0.9× 185 0.7× 126 0.7× 125 0.7× 150 1.4× 18 981
Bryan Mitton United States 16 674 1.1× 107 0.4× 282 1.6× 79 0.5× 120 1.1× 28 1.0k
Yuki Kanda Japan 13 414 0.7× 149 0.6× 86 0.5× 72 0.4× 246 2.3× 19 992
Jean‐Raymond Teyssier France 17 266 0.4× 150 0.6× 99 0.6× 65 0.4× 70 0.7× 31 693
John Saltis Australia 13 588 0.9× 237 0.9× 110 0.6× 88 0.5× 49 0.5× 27 862
Mousumi Bhattacharya Canada 11 398 0.6× 153 0.6× 76 0.4× 54 0.3× 119 1.1× 15 883
John Le Lay United States 19 790 1.3× 182 0.7× 113 0.6× 214 1.3× 300 2.8× 22 1.5k
Chintan K. Kikani United States 12 548 0.9× 377 1.4× 92 0.5× 80 0.5× 69 0.7× 18 1.1k

Countries citing papers authored by Yasuyo Kasai

Since Specialization
Citations

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

Fields of papers citing papers by Yasuyo Kasai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuyo Kasai

This figure shows the co-authorship network connecting the top 25 collaborators of Yasuyo Kasai. A scholar is included among the top collaborators of Yasuyo Kasai 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 Yasuyo Kasai. Yasuyo Kasai 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.
Kitamura, Toshinori, Mizuki Takegata, Satoshi Sohda, et al.. (2024). Tokophobia: Psychopathology and Diagnostic Consideration of Ten Cases. Healthcare. 12(5). 519–519. 2 indexed citations
2.
Takegata, Mizuki, Satoshi Sohda, Satoru Takeda, et al.. (2023). Tokophobia: Case Reports and Narratives of Ten Japanese Women. Healthcare. 11(5). 696–696. 6 indexed citations
4.
Miyamoto, Shingo, et al.. (2016). Anticancer drugs during pregnancy. Japanese Journal of Clinical Oncology. 46(9). 795–804. 11 indexed citations
5.
Hibi, K., Hidetsugu Nakayama, Yasuyo Kasai, et al.. (2001). AIS overexpression in advanced esophageal cancer.. PubMed. 7(3). 469–72. 17 indexed citations
6.
Yano, T., Akira Kikuchi, Naohiro Yano, et al.. (2000). Comparison of the effects of add-back therapy with various natural oestrogens on bone metabolism in rats administered a long-acting gonadotrophin-releasing hormone agonist. Journal of Endocrinology. 165(2). 467–473. 11 indexed citations
7.
Poelzl, Gerhard, Yasuyo Kasai, Naoki Mochizuki, et al.. (2000). Specific association of estrogen receptor β with the cell cycle spindle assembly checkpoint protein, MAD2. Proceedings of the National Academy of Sciences. 97(6). 2836–2839. 55 indexed citations
8.
Kasai, Yasuyo, et al.. (1997). Endothelium‐dependent frequency modulation of Ca2+ signalling in individual vascular smooth muscle cells of the rat. The Journal of Physiology. 504(2). 349–357. 59 indexed citations
9.
Yano, Tetsu, et al.. (1997). Clinical Usefulness of Urinary CrossLaps as a Sensitive Marker of Bone Metabolism.. Endocrine Journal. 44(4). 479–484. 10 indexed citations
10.
Hibi, K., Hajime Nakamura, Atsushi Hirai, et al.. (1996). Loss of H19 imprinting in esophageal cancer.. PubMed. 56(3). 480–2. 241 indexed citations
11.
Kasai, Yasuyo, Osamu Tsutsumi, Y. Taketani, Mizuki Endo, & Masamitsu Iino. (1995). Stretch‐induced enhancement of contractions in uterine smooth muscle of rats.. The Journal of Physiology. 486(2). 373–384. 23 indexed citations
12.
Kasai, Yasuyo, Masamitsu Iino, Osamu Tsutsumi, Yuji Taketani, & Makoto Endo. (1994). Effects of cyclopiazonic acid on rhythmic contractions in uterine smooth muscle bundles of the rat. British Journal of Pharmacology. 112(4). 1132–1136. 28 indexed citations
13.
Kitano, Yutaka, Kiyoshi Takasuna, Yasuyo Kasai, et al.. (1994). General pharmacological profile of the new cognition-enhancing agent nefiracetam.. PubMed. 44(2A). 199–210. 11 indexed citations
14.
Hirohashi, Masaaki, et al.. (1993). General pharmacological profile of the new anti-ulcer drug 3-[[[2-(3,4-dimethoxyphenyl)ethyl]carbamoyl]methyl]-amino-N -methylbenzamide.. PubMed. 43(5). 569–77. 10 indexed citations
15.
Kayama, Fujio, et al.. (1992). Ten cases of fetal anomalies detected by ultrasonography during pregnancy : Abstracts of Papers Presented at the Thirty-Second Annual Meeting of the Japanese Teratology Society Tokyo, Japan, July 8-10, 1992. Congenital Anomalies. 32(3). 248–249. 1 indexed citations
16.
Takasuna, Kiyoshi, Yasuyo Kasai, Masaki Takahashi, et al.. (1992). General pharmacology of the new quinolone antibacterial agent levofloxacin.. PubMed. 43(3A). 408–18. 14 indexed citations
17.
Zalewska, Teresa, Yasuyo Kasai, & Seiichi Kawashima. (1989). Calcium-dependent proteolytic activity in hypoxic rat brain.. PubMed. 48(2-3). S166–9. 6 indexed citations
18.
Kojima, H., et al.. (1988). General pharmacological properties of muroctasin.. PubMed. 38(7A). 1002–9. 3 indexed citations
19.
Niimoto, Minoru, Yasuyo Kasai, O Abe, et al.. (1988). [A cooperative study of surgical adjuvant chemotherapy of colorectal cancer (second report): 3-year survival rate. Cooperative Study Group of Surgical Adjuvant Chemotherapy of Colorectal Cancer in Japan].. PubMed. 15(8). 2237–44. 2 indexed citations
20.
Yamasaki, Terukiyo, H. Kojima, Makoto Tanaka, et al.. (1981). Pharmacological studies on timiperone, a new neuroleptic drug Part II: General pharmacological properties.. PubMed. 31(4). 707–15. 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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