Tomoko Ohmori

1.4k total citations · 1 hit paper
16 papers, 1.0k citations indexed

About

Tomoko Ohmori is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Tomoko Ohmori has authored 16 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Pulmonary and Respiratory Medicine and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Tomoko Ohmori's work include Renal and related cancers (16 papers), Renal cell carcinoma treatment (10 papers) and Urological Disorders and Treatments (4 papers). Tomoko Ohmori is often cited by papers focused on Renal and related cancers (16 papers), Renal cell carcinoma treatment (10 papers) and Urological Disorders and Treatments (4 papers). Tomoko Ohmori collaborates with scholars based in Japan, United States and Philippines. Tomoko Ohmori's co-authors include Ryuichi Nishinakamura, Atsuhiro Taguchi, Yusuke Kaku, Sazia Sharmin, Hiroshi Sasaki, Minetaro Ogawa, Shunsuke Tanigawa, Yasuhiro Yoshimura, Hidetake Kurihara and Takashi Yamamoto and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Tomoko Ohmori

14 papers receiving 1.0k 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

Tomoko Ohmori

PRM

PHEOH

SURGE

Yusuke Kaku Japan

Atsuhiro Taguchi Japan

Ryan Vander Werff Canada

Ramila E. Gulieva United States

Roger M. Ilagan United States

Daniëlle G. Leuning Netherlands

Derek Adams United States

Zhongwei Li United States

Ken Hiratsuka United States

Astgik Petrosyan United States

Yusuke Kaku Japan

Tomoko Ohmori

819 ×0.9

361 ×0.9

PRM

213 ×0.9

PHEOH

181 ×0.9

SURGE

141 ×1.0

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

Countries citing papers authored by Tomoko Ohmori

Since Specialization

Citations

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

Fields of papers citing papers by Tomoko Ohmori

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoko Ohmori

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

All Works

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16 of 16 papers shown

Ohmori, Tomoko, et al.. (2025). In vitro generation of a ureteral organoid from pluripotent stem cells. Nature Communications. 16(1). 5309–5309.

Ohmori, Tomoko, Shunsuke Tanigawa, Alessia Calcagnì, et al.. (2025). Folliculin Deletion in the Mouse Kidney Results in Cystogenesis of the Loops of Henle via Aberrant TFEB Activation. American Journal Of Pathology. 195(9). 1643–1659.

Ide, Hiroshi, et al.. (2024). Mouse embryonic kidney transplantation identifies maturation defects in the medulla. Scientific Reports. 14(1). 30293–30293. 1 indexed citations

Tanigawa, Shunsuke, Etsuko Tanaka, Tomoko Ohmori, et al.. (2022). Generation of the organotypic kidney structure by integrating pluripotent stem cell-derived renal stroma. Nature Communications. 13(1). 611–611. 48 indexed citations

Ohmori, Tomoko, Shankhajit De, Shunsuke Tanigawa, et al.. (2021). Impaired NEPHRIN localization in kidney organoids derived from nephrotic patient iPS cells. Scientific Reports. 11(1). 3982–3982. 17 indexed citations

Ohmori, Tomoko, Shunsuke Tanigawa, Mariko Yamane, et al.. (2020). Molecular detection of maturation stages in the developing kidney. Developmental Biology. 470. 62–73. 24 indexed citations

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

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

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

10.

Kanda, Shoichiro, Shunsuke Tanigawa, Tomoko Ohmori, et al.. (2014). Sall1 Maintains Nephron Progenitors and Nascent Nephrons by Acting as Both an Activator and a Repressor. Journal of the American Society of Nephrology. 25(11). 2584–2595. 60 indexed citations

11.

Ohmori, Tomoko, Shunsuke Tanigawa, Atsuhiro Taguchi, et al.. (2014). Nonmuscle Myosin II Regulates the Morphogenesis of Metanephric Mesenchyme–Derived Immature Nephrons. Journal of the American Society of Nephrology. 26(5). 1081–1091. 19 indexed citations

12.

Ohmori, Tomoko, et al.. (2014). Preformed Wolffian duct regulates Müllerian duct elongation independently of canonical Wnt signaling or Lhx1 expression. The International Journal of Developmental Biology. 58(9). 663–668. 9 indexed citations

13.

Taguchi, Atsuhiro, et al.. (2013). Sall4 Is Transiently Expressed in the Caudal Wolffian Duct and the Ureteric Bud, but Dispensable for Kidney Development. PLoS ONE. 8(6). e68508–e68508. 6 indexed citations

14.

Sakaguchi, Masaji, Sazia Sharmin, Atsuhiro Taguchi, et al.. (2013). The phosphatase Dullard negatively regulates BMP signalling and is essential for nephron maintenance after birth. Nature Communications. 4(1). 1398–1398. 22 indexed citations

15.

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 →

16.

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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