Mitsuhiro Kikyo

828 total citations
10 papers, 710 citations indexed

About

Mitsuhiro Kikyo is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cell Biology. According to data from OpenAlex, Mitsuhiro Kikyo has authored 10 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Cardiology and Cardiovascular Medicine and 3 papers in Cell Biology. Recurrent topics in Mitsuhiro Kikyo's work include Fungal and yeast genetics research (4 papers), Receptor Mechanisms and Signaling (2 papers) and Renin-Angiotensin System Studies (2 papers). Mitsuhiro Kikyo is often cited by papers focused on Fungal and yeast genetics research (4 papers), Receptor Mechanisms and Signaling (2 papers) and Renin-Angiotensin System Studies (2 papers). Mitsuhiro Kikyo collaborates with scholars based in Japan, United States and Sweden. Mitsuhiro Kikyo's co-authors include Yoshimi Takai, Kazuma Tanaka, Takeshi Fujiwara, Takashi Kamei, Kumi Ozaki, Kazuo Takahashi, Akihisa Mino, Kazuya Shimizu, Yoshiko Nakagomi and Yoshiaki Yamano and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Oncogene.

In The Last Decade

Mitsuhiro Kikyo

10 papers receiving 697 citations

Peers

Mitsuhiro Kikyo
E.S. Payne United States
Jae Cheal Yoo South Korea
Sayeeda B. Zain United States
Katrina Boeckeler United Kingdom
Mathieu Simon United States
Melinda D. Hains United States
Layla Saidi United States
Keng-Mean Lin United States
Thomas Strahl United States
E.S. Payne United States
Mitsuhiro Kikyo
Citations per year, relative to Mitsuhiro Kikyo Mitsuhiro Kikyo (= 1×) peers E.S. Payne

Countries citing papers authored by Mitsuhiro Kikyo

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuhiro Kikyo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuhiro Kikyo

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

All Works

10 of 10 papers shown
1.
Kikyo, Mitsuhiro, Naritoshi Shirata, Hiroyuki Yamada, et al.. (2023). Inhibition of Importin-α–Mediated Nuclear Localization of Dendrin Attenuates Podocyte Loss and Glomerulosclerosis. Journal of the American Society of Nephrology. 34(7). 1222–1239. 9 indexed citations
2.
Yamada, Hiroyuki, Naritoshi Shirata, Shin‐ichi Makino, et al.. (2020). MAGI-2 orchestrates the localization of backbone proteins in the slit diaphragm of podocytes. Kidney International. 99(2). 382–395. 16 indexed citations
3.
Kodama, Atsuko, Takashi Matozaki, Atsunori Fukuhara, et al.. (2000). Involvement of an SHP-2-Rho Small G Protein Pathway in Hepatocyte Growth Factor/Scatter Factor–induced Cell Scattering. Molecular Biology of the Cell. 11(8). 2565–2575. 103 indexed citations
4.
Kikyo, Mitsuhiro, Takashi Matozaki, Atsuko Kodama, et al.. (2000). Cell-cell adhesion-mediated tyrosine phosphorylation of nectin-2δ, an immunoglobulin-like cell adhesion molecule at adherens junctions. Oncogene. 19(35). 4022–4028. 13 indexed citations
5.
Kikyo, Mitsuhiro, Kazuma Tanaka, Takashi Kamei, et al.. (1999). An FH domain-containing Bnr1p is a multifunctional protein interacting with a variety of cytoskeletal proteins in Saccharomyces cerevisiae. Oncogene. 18(50). 7046–7054. 48 indexed citations
6.
Fujiwara, Takeshi, Kazuma Tanaka, Eiji Inoue, Mitsuhiro Kikyo, & Yoshimi Takai. (1999). Bni1p Regulates Microtubule-Dependent Nuclear Migration through the Actin Cytoskeleton in Saccharomyces cerevisiae. Molecular and Cellular Biology. 19(12). 8016–8027. 42 indexed citations
7.
Fujiwara, Takeshi, Kazuma Tanaka, Akihisa Mino, et al.. (1998). Rho1p-Bni1p-Spa2p Interactions: Implication in Localization of Bni1p at the Bud Site and Regulation of the Actin Cytoskeleton inSaccharomyces cerevisiae. Molecular Biology of the Cell. 9(5). 1221–1233. 142 indexed citations
8.
Kamei, Takashi, Kazuma Tanaka, Taro Hihara, et al.. (1998). Interaction of Bnr1p with a Novel Src Homology 3 Domain-containing Hof1p. Journal of Biological Chemistry. 273(43). 28341–28345. 129 indexed citations
9.
Sano, Tomoaki, Kenji Ohyama, Yoshiaki Yamano, et al.. (1997). A Domain for G Protein Coupling in Carboxyl-terminal Tail of Rat Angiotensin II Receptor Type 1A. Journal of Biological Chemistry. 272(38). 23631–23636. 98 indexed citations
10.
Yamano, Yoshiaki, Kenji Ohyama, Mitsuhiro Kikyo, et al.. (1995). Mutagenesis and the Molecular Modeling of the Rat Angiotensin II Receptor (AT1). Journal of Biological Chemistry. 270(23). 14024–14030. 110 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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