Makoto Senoo

2.1k total citations · 1 hit paper
51 papers, 1.6k citations indexed

About

Makoto Senoo is a scholar working on Molecular Biology, Oncology and Neurology. According to data from OpenAlex, Makoto Senoo has authored 51 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 12 papers in Oncology and 8 papers in Neurology. Recurrent topics in Makoto Senoo's work include Cancer-related Molecular Pathways (10 papers), Wound Healing and Treatments (7 papers) and Intracranial Aneurysms: Treatment and Complications (5 papers). Makoto Senoo is often cited by papers focused on Cancer-related Molecular Pathways (10 papers), Wound Healing and Treatments (7 papers) and Intracranial Aneurysms: Treatment and Complications (5 papers). Makoto Senoo collaborates with scholars based in Japan, United States and Thailand. Makoto Senoo's co-authors include Frank McKeon, Filipa R. Pinto, Christopher P. Crum, Sonoko Habu, Yasuko Matsumura, Yoichi Shinkai, Miki Ohira, Naohiko Seki, Sumio Sugano and John Manis and has published in prestigious journals such as Cell, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Makoto Senoo

42 papers receiving 1.6k 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.

p63 Is Essential for the Proliferative Potential of Stem Cells in Stratified Epithelia

2007 710 citations Makoto Senoo, Filipa R. Pinto et al. Cell profile →

Peers

Countries citing papers authored by Makoto Senoo

Since Specialization

Citations

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

Fields of papers citing papers by Makoto Senoo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Senoo

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Senoo. A scholar is included among the top collaborators of Makoto Senoo 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 Makoto Senoo. Makoto Senoo 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	Inhibition of TGF-β signaling enables long-term proliferation of mouse primary epithelial stem/progenitor cells of the tympanic membrane and the middle ear mucosa 2023 ·Scientific Reports ·Tomomi Yamamoto‐Fukuda, Filipa R. Pinto, (unknown), Makoto Senoo	4
2	Wnt/β-catenin signaling controls mouse eyelid growth by mediating epithelial-mesenchymal interactions 2023 ·The Ocular Surface ·Xuming Zhu, Makoto Senoo, Sarah E. Millar, Gang Ma	0
3	Greener Grass: The Modern History of Epithelial Stem Cell Innovation 2023 ·Life ·(unknown), Yoshiyuki Mochida, Makoto Senoo	2
4	The Simplest Protocol for Rapid and Long-Term Culture of Primary Epidermal Keratinocytes from Human and Mouse 2019 ·Methods in molecular biology ·Filipa R. Pinto, Daisuke Suzuki, Makoto Senoo	2
5	Epidermal Stem Cells in Homeostasis and Wound Repair of the Skin 2013 ·Advances in Wound Care ·Makoto Senoo	42
6	Bridging Stem Cell Research from Humans to Animals 2012 ·PubMed ·Makoto Senoo	0
7	Decreased expression of p63, a regulator of epidermal stem cells, in the chronic laminitic equine hoof 2011 ·Equine Veterinary Journal ·(unknown), Julie B. Engiles, Susan Megee, Makoto Senoo, Hannah Galantino‐Homer	25
8	p63 Is Essential for the Proliferative Potential of Stem Cells in Stratified Epithelia breakdown → 2007 ·Cell ·Makoto Senoo, Filipa R. Pinto, Christopher P. Crum, Frank McKeon	710
9	Increased Myeloid Cell Responses to M-CSF and RANKL Cause Bone Loss and Inflammation in SH3BP2 “Cherubism” Mice 2007 ·Cell ·Yasuyoshi Ueki, Chin‐Yu Lin, Makoto Senoo, Takeshi Ebihara, Naoki Agata, Masahiro Onji, Yasunori Saheki, Toshihisa Kawai, (unknown), Ernst Reichenberger, Bjørn R. Olsen	137
10	p63 and p73 are not required for the development and p53-dependent apoptosis of T cells 2004 ·Cancer Cell ·Makoto Senoo, John Manis, Frederick W. Alt, Frank McKeon	70
11	A case of thoracic epidural cavernous angioma 2003 ·Japanese Journal of Neurosurgery ·(unknown), Makoto Senoo, Hirohiko Nakamura, Masahiro Mizobuchi	1
12	Pharmacoeconomical Efficacy of Critical Pathways Instructions for Medication Management and Instruction Tasks for Gastrectomy Patients. 2003 ·Iryo Yakugaku (Japanese Journal of Pharmaceutical Health Care and Sciences) ·Yuya Ise, (unknown), (unknown), Makoto Senoo, (unknown), (unknown), Masaaki Hirano, (unknown), Toshiro Yoshiyuki, Teruo Kiyama	2
13	Increase of TCR Vβ Accessibility within Eβ Regulatory Region Influences its Recombination Frequency But Not Allelic Exclusion 2003 ·The Journal of Immunology ·Makoto Senoo, Lili Wang, Daisuke Suzuki, Naoki Takeda, Yoichi Shinkai, Sonoko Habu	24
14	The Influence of Oil-Based Ink Containing Xylene for Plastic Containers Used in Making Infusions 2003 ·Iryo Yakugaku (Japanese Journal of Pharmaceutical Health Care and Sciences) ·Masayoshi Koinuma, Makoto Senoo, (unknown), (unknown), Masaaki Hirano, Hidetoshi Arakawa, (unknown)	1
15	TAp63γ (p51A) and dNp63α (p73L), two major isoforms of the p63 gene, exert opposite effects on the vascular endothelial growth factor (VEGF) gene expression 2002 ·Oncogene ·Makoto Senoo, Yasuko Matsumura, Sonoko Habu	61
16	p53 Homologue p63 Represses Epidermal Growth Factor Receptor Expression 2001 ·Journal of Biological Chemistry ·Hirotaka Nishi, Makoto Senoo, (unknown), Barbara A. Murphy, Toshiki Rikiyama, Yasuko Matsumura, Sonoko Habu, Alfred C. Johnson	53
17	Identification of a Novel Retrovirus Long Terminal Repeat (LTR) That Is Targeted by p51A (TAp63γ) and Selective Dominant-Negative Activity of p73L (ΔNp63α) toward p53-Responsive Promoter Activities 2001 ·Biochemical and Biophysical Research Communications ·Makoto Senoo, Yasuko Matsumura, Sonoko Habu	6
18	The Trends and Issues of Cerebrovascular Reconstructive Surgery Based on the Change of Annual Number of Operations in Past 13 Years 2000 ·Surgery for Cerebral Stroke ·Jyoji Nakagawara, Toshiaki Osato, (unknown), (unknown), Makoto Senoo, Takashi Seki, (unknown), Hirohiko Nakamura	1
19	Regulation of Vbeta germline transcription in RAG-deficient mice by the CD3epsilon-mediated signals: implication of Vbeta transcriptional regulation in TCR beta allelic exclusion 1998 ·International Immunology ·Makoto Senoo	39
20	A Second p53-Related Protein, p73L, with High Homology to p73 1998 ·Biochemical and Biophysical Research Communications ·Makoto Senoo, Naohiko Seki, Miki Ohira, Sumio Sugano, Masao Watanabe, Makoto Tachibana, Takashi Tanaka, Yoichi Shinkai, Hiroyuki Kato	109

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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