Yusuke Kaku

1.2k total citations · 1 hit paper
7 papers, 890 citations indexed

About

Yusuke Kaku is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Yusuke Kaku has authored 7 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Pulmonary and Respiratory Medicine and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Yusuke Kaku's work include Renal and related cancers (7 papers), Renal cell carcinoma treatment (5 papers) and Organ Donation and Transplantation (3 papers). Yusuke Kaku is often cited by papers focused on Renal and related cancers (7 papers), Renal cell carcinoma treatment (5 papers) and Organ Donation and Transplantation (3 papers). Yusuke Kaku collaborates with scholars based in Japan and United States. Yusuke Kaku's co-authors include Ryuichi Nishinakamura, Tomoko Ohmori, Atsuhiro Taguchi, Sazia Sharmin, Minetaro Ogawa, Hiroshi Sasaki, Tetsushi Sakuma, Takashi Yamamoto, Hidetake Kurihara and Masashi Mukoyama and has published in prestigious journals such as Scientific Reports, Cell stem cell and Journal of the American Society of Nephrology.

In The Last Decade

Yusuke Kaku

7 papers receiving 884 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Redefining the In Vivo Origin of Metanephric Nephron Progenitors Enables Generation of Complex Kidney Structures from Pluripotent Stem Cells

2013 624 citations Atsuhiro Taguchi, Yusuke Kaku et al. Cell stem cell profile →

Peers

Yusuke Kaku

MB

PRM

PHEOH

SURGE

BE

Tomoko Ohmori Japan

Atsuhiro Taguchi Japan

Shin-Ichi Mae Japan

Ramila E. Gulieva United States

Ken Hiratsuka United States

Zhongwei Li United States

Roger M. Ilagan United States

Derek Adams United States

Loes E. Wiersma Netherlands

Masatoshi Kajiwara Japan

Tomoko Ohmori Japan

Yusuke Kaku

956 ×1.2

MB

415 ×1.1

PRM

238 ×1.1

PHEOH

200 ×1.1

SURGE

148 ×1.0

BE

Citations per year, relative to Yusuke Kaku Yusuke Kaku (= 1×) peers Tomoko Ohmori

Countries citing papers authored by Yusuke Kaku

Since Specialization

Citations

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

Fields of papers citing papers by Yusuke Kaku

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yusuke Kaku

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

All Works

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7 of 7 papers shown

1.

Tanigawa, Shunsuke, Yusuke Kaku, Takumi Era, et al.. (2019). Activin Is Superior to BMP7 for Efficient Maintenance of Human iPSC-Derived Nephron Progenitors. Stem Cell Reports. 13(2). 322–337. 19 indexed citations

2.

Haque, Fahim Kabir Monjurul, Yusuke Kaku, Sayoko Fujimura, et al.. (2017). Non-muscle myosin II deletion in the developing kidney causes ureter-bladder misconnection and apical extrusion of the nephric duct lineage epithelia. Developmental Biology. 427(1). 121–130. 10 indexed citations

3.

Kaku, Yusuke, Atsuhiro Taguchi, Shunsuke Tanigawa, et al.. (2017). PAX2 is dispensable for in vitro nephron formation from human induced pluripotent stem cells. Scientific Reports. 7(1). 4554–4554. 34 indexed citations

4.

Sharmin, Sazia, Atsuhiro Taguchi, Yusuke Kaku, et al.. (2015). Human Induced Pluripotent Stem Cell–Derived Podocytes Mature into Vascularized Glomeruli upon Experimental Transplantation. Journal of the American Society of Nephrology. 27(6). 1778–1791. 162 indexed citations

5.

Ohmori, Tomoko, Shunsuke Tanigawa, Yusuke Kaku, Sayoko Fujimura, & Ryuichi Nishinakamura. (2015). Sall1 in renal stromal progenitors non-cell autonomously restricts the excessive expansion of nephron progenitors. Scientific Reports. 5(1). 15676–15676. 22 indexed citations

6.

Taguchi, Atsuhiro, Yusuke Kaku, Tomoko Ohmori, et al.. (2013). Redefining the In Vivo Origin of Metanephric Nephron Progenitors Enables Generation of Complex Kidney Structures from Pluripotent Stem Cells. Cell stem cell. 14(1). 53–67. 624 indexed citations breakdown →

7.

Kaku, Yusuke, Tomoko Ohmori, Sayoko Fujimura, et al.. (2013). Islet1 Deletion Causes Kidney Agenesis and Hydroureter Resembling CAKUT. Journal of the American Society of Nephrology. 24(8). 1242–1249. 19 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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