Shin-Ichi Mae

1.1k total citations
21 papers, 756 citations indexed

About

Shin-Ichi Mae is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shin-Ichi Mae has authored 21 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Surgery and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shin-Ichi Mae's work include Renal and related cancers (16 papers), Pluripotent Stem Cells Research (10 papers) and Pancreatic function and diabetes (5 papers). Shin-Ichi Mae is often cited by papers focused on Renal and related cancers (16 papers), Pluripotent Stem Cells Research (10 papers) and Pancreatic function and diabetes (5 papers). Shin-Ichi Mae collaborates with scholars based in Japan, United States and Sweden. Shin-Ichi Mae's co-authors include Kenji Osafune, Tarō Toyoda, Toshikazu Araoka, Michinori Funato, Akira Watanabe, Y. Korogi, Yuki Yamamoto, Tadao Nagasaki, Shimpei Gotoh and Satoshi Konishi and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Shin-Ichi Mae

20 papers receiving 753 citations

Peers

Shin-Ichi Mae

PRM

SURGE

PHEOH

GENET

Yusuke Kaku Japan

Tomoko Ohmori Japan

Dorit Omer Israel

Libing Shi China

Loes E. Wiersma Netherlands

Yuki Yamamoto Japan

Nancy Conroy United States

María Rosa Arnau Spain

Tomomi Tadokoro Japan

Hans-Willem Snoeck United States

Yusuke Kaku Japan

Shin-Ichi Mae

819 ×1.4

361 ×1.2

PRM

181 ×0.7

SURGE

213 ×1.7

PHEOH

85 ×0.9

GENET

Citations per year, relative to Shin-Ichi Mae Shin-Ichi Mae (= 1×) peers Yusuke Kaku

Countries citing papers authored by Shin-Ichi Mae

Since Specialization

Citations

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

Fields of papers citing papers by Shin-Ichi Mae

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shin-Ichi Mae. 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 Shin-Ichi Mae. The network helps show where Shin-Ichi Mae may publish in the future.

Co-authorship network of co-authors of Shin-Ichi Mae

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

All Works

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20 of 20 papers shown

Mima, Atsushi, Ryo Ito, Yu Hatano, et al.. (2025). Mechanistic elucidation of human pancreatic acinar development using single-cell transcriptome analysis on a human iPSC differentiation model. Scientific Reports. 15(1). 4668–4668.

Tsujimoto, Hiraku, Shin-Ichi Mae, Toshikazu Araoka, et al.. (2024). Selective induction of human renal interstitial progenitor-like cell lineages from iPSCs reveals development of mesangial and EPO-producing cells. Cell Reports. 43(2). 113602–113602. 7 indexed citations

Araoka, Toshikazu, Shin-Ichi Mae, Tomoko Horinouchi, et al.. (2023). iPSC-derived type IV collagen α5-expressing kidney organoids model Alport syndrome. Communications Biology. 6(1). 854–854. 13 indexed citations

Ishiguro, Naoki, Hiroshi Arakawa, Asami Saito, et al.. (2023). Improvement of Protein Expression Profile in Three-Dimensional Renal Proximal Tubular Epithelial Cell Spheroids Selected Based on OAT1 Gene Expression: A Potential In Vitro Tool for Evaluating Human Renal Proximal Tubular Toxicity and Drug Disposition. Drug Metabolism and Disposition. 51(9). 1177–1187. 5 indexed citations

Mae, Shin-Ichi, Fumihiko Hattanda, Hiroyoshi Morita, et al.. (2023). Human iPSC-derived renal collecting duct organoid model cystogenesis in ADPKD. Cell Reports. 42(12). 113431–113431. 16 indexed citations

Ito, Ryo, Yu Hatano, Atsushi Mima, et al.. (2023). Elucidation of HHEX in pancreatic endoderm differentiation using a human iPSC differentiation model. Scientific Reports. 13(1). 8659–8659. 4 indexed citations

Mae, Shin-Ichi, et al.. (2022). Protocol for the generation and expansion of human iPS cell-derived ureteric bud organoids. STAR Protocols. 3(3). 101484–101484. 5 indexed citations

Hitomi, Hirofumi, Shin-Ichi Mae, Lei Li, et al.. (2021). Retinoic acid regulates erythropoietin production cooperatively with hypoxia-inducible factors in human iPSC-derived erythropoietin-producing cells. Scientific Reports. 11(1). 3936–3936. 6 indexed citations

Tsujimoto, Hiraku, Tomoko Kasahara, Toshikazu Araoka, et al.. (2020). A Modular Differentiation System Maps Multiple Human Kidney Lineages from Pluripotent Stem Cells. Cell Reports. 31(1). 107476–107476. 80 indexed citations

10.

Shimizu, Tatsuya, Shin-Ichi Mae, Toshikazu Araoka, et al.. (2020). A novel ADPKD model using kidney organoids derived from disease-specific human iPSCs. Biochemical and Biophysical Research Communications. 529(4). 1186–1194. 51 indexed citations

11.

Mae, Shin-Ichi, et al.. (2020). Expansion of Human iPSC-Derived Ureteric Bud Organoids with Repeated Branching Potential. Cell Reports. 32(4). 107963–107963. 63 indexed citations

12.

Mae, Shin-Ichi, et al.. (2019). Protocol to Generate Ureteric Bud Structures from Human iPS Cells. Methods in molecular biology. 1926. 117–123. 1 indexed citations

13.

Mae, Shin-Ichi, et al.. (2017). Generation of branching ureteric bud tissues from human pluripotent stem cells. Biochemical and Biophysical Research Communications. 495(1). 954–961. 51 indexed citations

14.

Mae, Shin-Ichi, Chihiro Okada, Masahiro Nakamura, et al.. (2016). Redefining definitive endoderm subtypes by robust induction of human induced pluripotent stem cells. Differentiation. 92(5). 281–290. 23 indexed citations

15.

Mae, Shin-Ichi & Kenji Osafune. (2015). Kidney regeneration from human induced pluripotent stem cells. Current Opinion in Organ Transplantation. 20(2). 171–177. 7 indexed citations

16.

Toyoda, Tarō, Shin-Ichi Mae, Hiromi Tanaka, et al.. (2015). Cell aggregation optimizes the differentiation of human ESCs and iPSCs into pancreatic bud-like progenitor cells. Stem Cell Research. 14(2). 185–197. 86 indexed citations

17.

Araoka, Toshikazu, Shin-Ichi Mae, Motonari Uesugi, et al.. (2014). Efficient and Rapid Induction of Human iPSCs/ESCs into Nephrogenic Intermediate Mesoderm Using Small Molecule-Based Differentiation Methods. PLoS ONE. 9(1). e84881–e84881. 79 indexed citations

18.

Gotoh, Shimpei, Isao Ito, Tadao Nagasaki, et al.. (2014). Generation of Alveolar Epithelial Spheroids via Isolated Progenitor Cells from Human Pluripotent Stem Cells. Stem Cell Reports. 3(3). 394–403. 211 indexed citations

19.

Tomotsune, Daihachiro, Hinako Ichikawa, Shin-Ichi Mae, et al.. (2011). In Vitro Transdifferentiation of HepG2 Cells to Pancreatic-Like Cells by CCl4, d-Galactosamine, and ZnCl2. Pancreas. 40(8). 1245–1252. 2 indexed citations

20.

Mae, Shin-Ichi, Fumi Sato, Hinako Ichikawa, et al.. (2010). Combination of small molecules enhances differentiation of mouse embryonic stem cells into intermediate mesoderm through BMP7-positive cells. Biochemical and Biophysical Research Communications. 393(4). 877–882. 34 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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