Hiroshi Kurosu

9.6k total citations · 6 hit papers
41 papers, 7.2k citations indexed

About

Hiroshi Kurosu is a scholar working on Molecular Biology, Nephrology and Genetics. According to data from OpenAlex, Hiroshi Kurosu has authored 41 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 19 papers in Nephrology and 17 papers in Genetics. Recurrent topics in Hiroshi Kurosu's work include Parathyroid Disorders and Treatments (18 papers), Genetic Syndromes and Imprinting (17 papers) and Fibroblast Growth Factor Research (14 papers). Hiroshi Kurosu is often cited by papers focused on Parathyroid Disorders and Treatments (18 papers), Genetic Syndromes and Imprinting (17 papers) and Fibroblast Growth Factor Research (14 papers). Hiroshi Kurosu collaborates with scholars based in Japan, United States and Australia. Hiroshi Kurosu's co-authors include Makoto Kuro‐o, Kevin P. Rosenblatt, Masaya Yamamoto, Animesh Nandi, Yasushi Ogawa, Moosa Mohammadi, Regina Goetz, Masayoshi Miyoshi, Orson W. Moe and Prem Gurnani and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Hiroshi Kurosu

40 papers receiving 7.1k citations

Hit Papers

Suppression of Aging in Mice by the Hormone Klotho 2005 2026 2012 2019 2005 2006 2007 2005 2010 400 800 1.2k

Peers

Hiroshi Kurosu
Christian Faul United States
Detlef Böckenhauer United Kingdom
Lee S. Weinstein United States
Robert R. Butters United States
Robert Kleta United Kingdom
Hiroshi Kurosu
Citations per year, relative to Hiroshi Kurosu Hiroshi Kurosu (= 1×) peers Yo-ichi Nabeshima

Countries citing papers authored by Hiroshi Kurosu

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Kurosu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Kurosu

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Kurosu. A scholar is included among the top collaborators of Hiroshi Kurosu 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 Hiroshi Kurosu. Hiroshi Kurosu 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.
Iwazu, Yoshitaka, Hideyuki Mukai, Takahiro Kuchimaru, et al.. (2026). Bone mineral loss damages renal tubules in mice. Communications Biology. 9(1). 1 indexed citations
2.
Miura, Yutaka, Hiroshi Kurosu, & Makoto Kuro‐o. (2023). Quantification of Calciprotein Particles (CPPs) in Serum/Plasma Samples Using a Fluorescent Bisphosphonate. Methods in molecular biology. 2664. 333–341. 4 indexed citations
3.
Miura, Yutaka, Yoshitaka Iwazu, Hideyuki Mukai, et al.. (2023). Removal of calciprotein particles from the blood using an adsorption column improves prognosis of hemodialysis miniature pigs. Scientific Reports. 13(1). 15026–15026. 10 indexed citations
4.
Mukai, Hideyuki, Yutaka Miura, Kazuhiko Kotani, et al.. (2022). The effects for inflammatory responses by CPP with different colloidal properties in hemodialysis patients. Scientific Reports. 12(1). 21856–21856. 5 indexed citations
5.
Isoyama, Naohito, Yuki Nakayama, Yutaka Miura, et al.. (2022). Association between amorphous calcium-phosphate ratios in circulating calciprotein particles and prognostic biomarkers in hemodialysis patients. Scientific Reports. 12(1). 13030–13030. 10 indexed citations
6.
Hirano, Yoshitaka, Hiroshi Kurosu, Kazuhiro Shiizaki, et al.. (2020). Interleukin‐36α as a potential biomarker for renal tubular damage induced by dietary phosphate load. FEBS Open Bio. 10(5). 894–903. 9 indexed citations
7.
Tsubouchi, Asako, Kenjiro Hanaoka, Yutaka Miura, et al.. (2020). Calciprotein particle-induced cytotoxicity via lysosomal dysfunction and altered cholesterol distribution in renal epithelial HK-2 cells. Scientific Reports. 10(1). 20125–20125. 25 indexed citations
8.
Akiyama, Kenichi, Yutaka Miura, Asuka Sakata, et al.. (2019). Calciprotein particles regulate fibroblast growth factor-23 expression in osteoblasts. Kidney International. 97(4). 702–712. 71 indexed citations
9.
Kozawa, Satoshi, Kyoji Urayama, Fumihiko Sagawa, et al.. (2018). The Body-wide Transcriptome Landscape of Disease Models. iScience. 2. 238–268. 16 indexed citations
10.
Khayeka‐Wandabwa, Christopher, Keita Sasaki, Yoshimasa Tanaka, et al.. (2016). Subcellular dissemination of prothymosin alpha at normal physiology: immunohistochemical vis-a-vis western blotting perspective. BMC Physiology. 16(1). 2–2. 11 indexed citations
11.
Cha, Seung‐Kuy, et al.. (2009). Regulation of Renal Outer Medullary Potassium Channel and Renal K+ Excretion by Klotho. Molecular Pharmacology. 76(1). 38–46. 169 indexed citations
12.
Kurosu, Hiroshi & Makoto Kuro‐o. (2008). The Klotho gene family as a regulator of endocrine fibroblast growth factors. Molecular and Cellular Endocrinology. 299(1). 72–78. 151 indexed citations
13.
Kurosu, Hiroshi, Mihwa Choi, Yasushi Ogawa, et al.. (2007). Tissue-specific Expression of βKlotho and Fibroblast Growth Factor (FGF) Receptor Isoforms Determines Metabolic Activity of FGF19 and FGF21. Journal of Biological Chemistry. 282(37). 26687–26695. 620 indexed citations breakdown →
14.
Yamamoto, Masaya, Jeremy D. Clark, Johanne V. Pastor, et al.. (2005). Regulation of Oxidative Stress by the Anti-aging Hormone Klotho*♦. Journal of Biological Chemistry. 280(45). 38029–38034. 598 indexed citations breakdown →
15.
Saito, Kota, Jun Murai, Hiroaki Kajiho, et al.. (2002). A Novel Binding Protein Composed of Homophilic Tetramer Exhibits Unique Properties for the Small GTPase Rab5. Journal of Biological Chemistry. 277(5). 3412–3418. 81 indexed citations
16.
Ito, Nobuko, Takehiko Yokomizo, Takehiko Sasaki, et al.. (2002). Requirement of Phosphatidylinositol 3-Kinase Activation and Calcium Influx for Leukotriene B4-induced Enzyme Release. Journal of Biological Chemistry. 277(47). 44898–44904. 41 indexed citations
18.
Kurosu, Hiroshi, Tomohiko Maehama, Taro Okada, et al.. (1997). Heterodimeric Phosphoinositide 3-Kinase Consisting of p85 and p110β Is Synergistically Activated by the βγ Subunits of G Proteins and Phosphotyrosyl Peptide. Journal of Biological Chemistry. 272(39). 24252–24256. 229 indexed citations
19.
Matsuo, Tsuyoshi, Kaoru Hazeki, Shinichi Inoue, et al.. (1996). Association of phosphatidylinositol 3‐kinase with the photo‐oncogene product Cbl upon CD38 ligation by a specific monoclonal antibody in THP‐1 cells. FEBS Letters. 397(1). 113–116. 19 indexed citations
20.
Kurosu, Hiroshi, et al.. (1987). [Significance of serum type III procollagen N-terminal peptide in patients with fibrotic lung disease].. PubMed. 25(11). 1194–201. 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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