So‐ichiro Fukada

7.9k citations

98 papers · 5.8k indexed · 2 hit papers · h-index 39

Molecular Biology top 1%
Surgery top 2%
Physiology top 1%
Genetics top 0.5%
Rehabilitation top 0.5%

Co-authors: Akiyoshi Uezumi Shin’ichi Takeda Kunihiro Tsuchida Naoki Yamamoto Yuko Miyagoe‐Suzuki Hiroshi Yamamoto Kazutake Tsujikawa Madoka Ikemoto‐Uezumi
Topics: Muscle Physiology and Disorders (79 papers)Tissue Engineering and Regenerative Medicine (30 papers)Mesenchymal stem cell research (20 papers)
Cited by: Genetics Aging Rehabilitation
Journals: Nature Proceedings of the National Academy of Sciences Journal of Biological Chemistry
Partner nations: Japan United States China

In The Last Decade

So‐ichiro Fukada

95 papers receiving 5.8k 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.

Mesenchymal progenitors distinct from satellite cells contribute to ectopic fat cell formation in skeletal muscle

2010 1.0k citations Akiyoshi Uezumi, So‐ichiro Fukada et al. profile →
Fibrosis and adipogenesis originate from a common mesenchymal progenitor in skeletal muscle

2011 499 citations Akiyoshi Uezumi, Takahito Ito et al. Journal of Cell Science profile →

Peers

Countries citing papers authored by So‐ichiro Fukada

Since Specialization

Citations

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

Fields of papers citing papers by So‐ichiro Fukada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by So‐ichiro Fukada. 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 So‐ichiro Fukada. The network helps show where So‐ichiro Fukada may publish in the future.

Co-authorship network of co-authors of So‐ichiro Fukada

This figure shows the co-authorship network connecting the top 25 collaborators of So‐ichiro Fukada. A scholar is included among the top collaborators of So‐ichiro Fukada 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 So‐ichiro Fukada. So‐ichiro Fukada 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

#	Work	Indexed citations
1	Calcitonin receptor downregulation and exercise-conditioned blood enable systemic muscle stem cell proliferation 2025 ·Nature Communications ·Lidan Zhang,(unknown),(unknown),(unknown),(unknown),Jiayao Xu,Yilin Liu,Akiyoshi Uezumi,Daisuke Kamimura,Masaaki Murakami,Atsushi Kubo,Takashi Yamada,Takayuki Akimoto,So‐ichiro Fukada	0
2	Discovery of fibroblast growth factor 2‐derived peptides for enhancing mice skeletal muscle satellite cell proliferation 2024 ·Biotechnology Journal ·(unknown),(unknown),(unknown),(unknown),(unknown),So‐ichiro Fukada,Hiroyuki Honda,Kazunori Shimizu	2
3	Decreased number of satellite cells-derived myonuclei in both fast- and slow-twitch muscles in HeyL-KO mice during voluntary running exercise 2024 ·Skeletal Muscle ·(unknown),(unknown),Lidan Zhang,(unknown),Atsushi Kubo,(unknown),Takayuki Akimoto,So‐ichiro Fukada	2
4	FAP senescence: a critical event in muscle regeneration 2023 ·Signal Transduction and Targeted Therapy ·Xia Kang,Yuqi Gao,So‐ichiro Fukada,Hongming Miao	3
5	Implication of satellite cell behaviors in capillary growth via VEGF expression-independent mechanism in response to mechanical loading in HeyL-null mice 2022 ·American Journal of Physiology-Cell Physiology ·Satoru Ato,So‐ichiro Fukada,Hiroki Kokubo,Riki Ogasawara	6
6	DNA maintenance methylation enzyme Dnmt1 in satellite cells is essential for muscle regeneration 2020 ·Biochemical and Biophysical Research Communications ·(unknown),Tadahiko Kikugawa,(unknown),Hiroshi Sakai,Shuhei Yoshida,(unknown),(unknown),(unknown),So‐ichiro Fukada,Takashi Saika,Yuuki Imai	8
7	Cell-autonomous and redundant roles of Hey1 and HeyL in muscle stem cells: HeyL requires Hes1 to bind diverse DNA sites 2019 ·Development ·(unknown),Miki Nakamura,Nobumasa Hino,Jumpei Nogami,(unknown),Takahiko Sato,Lidan Zhang,Kazutake Tsujikawa,Toru Tanaka,(unknown),Yoshiaki Okada,Takefumi Doi,Hiroki Kokubo,Akihito Harada,Akiyoshi Uezumi,Manfred Gessler,Yasuyuki Ohkawa,So‐ichiro Fukada	38
8	The CalcR-PKA-Yap1 Axis Is Critical for Maintaining Quiescence in Muscle Stem Cells 2019 ·Cell Reports ·Lidan Zhang,(unknown),Hiroyuki Nakayama,(unknown),Kazutake Tsujikawa,Madoka Ikemoto‐Uezumi,Akiyoshi Uezumi,Yoshiaki Okada,Takefumi Doi,Shuichi Watanabe,Thomas Braun,Yasushi Fujio,So‐ichiro Fukada	43
9	Muscle regeneration is disrupted by cancer cachexia without loss of muscle stem cell potential 2018 ·PLoS ONE ·(unknown),Atsushi Hinohara,Masashi Tachibana,Kazutake Tsujikawa,So‐ichiro Fukada	38
10	The Robo4-TRAF7 complex suppresses endothelial hyperpermeability in inflammation 2018 ·Journal of Cell Science ·Keisuke Shirakura,(unknown),(unknown),(unknown),Toru Tanaka,So‐ichiro Fukada,Kenji Ishimoto,Nobumasa Hino,Masuo Kondoh,Yukio Ago,Yasushi Fujio,Kiichiro Yano,Takefumi Doi,William C. Aird,Yoshiaki Okada	22
11	Adult murine cardiomyocytes exhibit regenerative activity with cell cycle reentry through STAT3 in the healing process of myocarditis 2017 ·Scientific Reports ·(unknown),Masanori Obana,(unknown),(unknown),(unknown),Tomomi Yamashita,So‐ichiro Fukada,Makiko Maeda,Hiroyuki Nakayama,Yasushi Fujio	28
12	Notch ligands regulate the muscle stem-like state ex vivo but are not sufficient for retaining regenerative capacity 2017 ·PLoS ONE ·Hiroshi Sakai,Sumiaki Fukuda,Miki Nakamura,Akiyoshi Uezumi,(unknown),Takahiko Sato,Mitsuhiro Morita,Harumoto Yamada,Kunihiro Tsuchida,Shahragim Tajbakhsh,So‐ichiro Fukada	25
13	Evidence of Notch-Hesr-Nrf2 Axis in Muscle Stem Cells, but Absence of Nrf2 Has No Effect on Their Quiescent and Undifferentiated State 2015 ·PLoS ONE ·Masahiko Yamaguchi,Satoshi Murakami,Tomohiro Yoneda,Miki Nakamura,Lidan Zhang,Akiyoshi Uezumi,Sumiaki Fukuda,Hiroki Kokubo,Kazutake Tsujikawa,So‐ichiro Fukada	14
14	Calcitonin Receptor Signaling Inhibits Muscle Stem Cells from Escaping the Quiescent State and the Niche 2015 ·Cell Reports ·Masahiko Yamaguchi,Yoko Watanabe,(unknown),Akiyoshi Uezumi,Norihisa Mikami,Miki Nakamura,Takahiko Sato,Masahito Ikawa,Mikio Hoshino,Kunihiro Tsuchida,Yuko Miyagoe‐Suzuki,Kazutake Tsujikawa,Shin’ichi Takeda,Hiroshi Yamamoto,So‐ichiro Fukada	86
15	Identification and characterization of PDGFRα+ mesenchymal progenitors in human skeletal muscle 2014 ·Cell Death and Disease ·Akiyoshi Uezumi,So‐ichiro Fukada,Naoki Yamamoto,Madoka Ikemoto‐Uezumi,Masashi Nakatani,Mitsuhiro Morita,(unknown),Hirotsugu Yamada,Ichizo Nishino,Y. Hamada,Kunihiro Tsuchida	230
16	Isolation, characterization, and molecular regulation of muscle stem cells 2013 ·Frontiers in Physiology ·So‐ichiro Fukada,(unknown),(unknown),Yoko Watanabe,Satoshi Murakami,Masahiko Yamaguchi	34
17	Imatinib attenuates severe mouse dystrophy and inhibits proliferation and fibrosis-marker expression in muscle mesenchymal progenitors 2013 ·Neuromuscular Disorders ·Takahito Ito,Ryo Ogawa,Akiyoshi Uezumi,(unknown),Yoko Watanabe,Kazutake Tsujikawa,Yuko Miyagoe‐Suzuki,Shin’ichi Takeda,Hiroshi Yamamoto,So‐ichiro Fukada	51
18	Derivation of Engraftable Myogenic Precursors from Murine ES/iPS cells and Generation of Disease-specific iPS cells from Patients with Duchenne Muscular dystrophy (DMD) and Other Diseases 2010 ·Rinsho Shinkeigaku ·Tatsutoshi Nakahata,Tomonari Awaya,(unknown),(unknown),Akira Niwa,So‐ichiro Fukada,Shin’ichi Takeda,Shinya Yamanaka,Toshio Heike	3
19	NO production results in suspension-induced muscle atrophy through dislocation of neuronal NOS 2007 ·Journal of Clinical Investigation ·Naoki Suzuki,Norio Motohashi,Akiyoshi Uezumi,So‐ichiro Fukada,Tetsuhiko Yoshimura,Yasuto Itoyama,Masashi Aoki,Yuko Miyagoe‐Suzuki,Shin’ichi Takeda	152
20	Autologous Transplantation of SM/C-2.6+ Satellite Cells Transduced with Micro-dystrophin CS1 cDNA by Lentiviral Vector into mdx Mice 2007 ·Molecular Therapy ·Madoka Ikemoto‐Uezumi,So‐ichiro Fukada,Akiyoshi Uezumi,S. Masuda,Hiroyuki Miyoshi,Hiroshi Yamamoto,Michiko Wada,Nami Masubuchi,Yuko Miyagoe‐Suzuki,Shin’ichi Takeda	69

About So‐ichiro Fukada

So‐ichiro Fukada is a scholar working on Genetics, Aging and Rehabilitation, having authored 98 papers that have together received 5.8k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (79 papers), Tissue Engineering and Regenerative Medicine (30 papers) and Mesenchymal stem cell research (20 papers). The work is most often cited by research in Genetics (1.4k citations), Aging (181 citations) and Rehabilitation (561 citations). So‐ichiro Fukada has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Akiyoshi Uezumi, Shin’ichi Takeda, Kunihiro Tsuchida, Naoki Yamamoto, Yuko Miyagoe‐Suzuki, Hiroshi Yamamoto, Kazutake Tsujikawa, Madoka Ikemoto‐Uezumi, Masashi Segawa and Masahiko Yamaguchi. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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