K. Kasai

441 total citations
5 papers, 316 citations indexed

About

K. Kasai is a scholar working on Epidemiology, Physiology and Surgery. According to data from OpenAlex, K. Kasai has authored 5 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Epidemiology, 2 papers in Physiology and 1 paper in Surgery. Recurrent topics in K. Kasai's work include Adipokines, Inflammation, and Metabolic Diseases (2 papers), Adipose Tissue and Metabolism (2 papers) and Hemoglobinopathies and Related Disorders (1 paper). K. Kasai is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (2 papers), Adipose Tissue and Metabolism (2 papers) and Hemoglobinopathies and Related Disorders (1 paper). K. Kasai collaborates with scholars based in Japan. K. Kasai's co-authors include Yuichi Hattori, Masaru Matsumura, Yoshiyuki Hattori, Kouichi Inukai, Sachiko Hattori, Atsuko Tomizawa, Yasuko Nakano, Yohichi Mochizuki, Hiromasa Kuroda and Shin-Ichi Shimoda and has published in prestigious journals such as FEBS Letters, Cardiovascular Research and Hormone and Metabolic Research.

In The Last Decade

K. Kasai

5 papers receiving 308 citations

Peers

K. Kasai
K. Kasai
Citations per year, relative to K. Kasai K. Kasai (= 1×) peers Norikazu Maeda

Countries citing papers authored by K. Kasai

Since Specialization
Citations

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

Fields of papers citing papers by K. Kasai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

5 of 5 papers shown
1.
Hattori, Yoshiyuki, Yasuko Nakano, Sachiko Hattori, et al.. (2008). High molecular weight adiponectin activates AMPK and suppresses cytokine‐induced NF‐κB activation in vascular endothelial cells. FEBS Letters. 582(12). 1719–1724. 101 indexed citations
2.
Hattori, Yuichi, Masaru Matsumura, & K. Kasai. (2003). Vascular smooth muscle cell activation by C-reactive protein. Cardiovascular Research. 58(1). 186–195. 185 indexed citations
3.
Matsuzaki, Shinya, et al.. (1995). The First e of Hb E-Saskatoon [α2β222(B4)Glu→Lys] In A Japanese Male In Asia. Hemoglobin. 19(6). 403–406. 5 indexed citations
4.
Kasai, K., Hiromasa Kuroda, Yoshiyuki Hattori, et al.. (1990). Presence of High Affinity Receptor for Interleukin-1 (IL-1) on Cultured Porcine Thyroid Cells. Hormone and Metabolic Research. 22(2). 75–79. 19 indexed citations
5.
Hattori, Yoshiyuki, et al.. (1989). The inhibitory effect of cyclosporine on prostacyclin production by cultured endothelial cells from porcine aorta.. PubMed. 21(3). 3461–3. 6 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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