Mako Yamamoto

3.3k total citations
39 papers, 1.4k citations indexed

About

Mako Yamamoto is a scholar working on Biotechnology, Biomedical Engineering and Genetics. According to data from OpenAlex, Mako Yamamoto has authored 39 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Biotechnology, 19 papers in Biomedical Engineering and 16 papers in Genetics. Recurrent topics in Mako Yamamoto's work include Cancer Research and Treatments (25 papers), Nanoplatforms for cancer theranostics (19 papers) and Virus-based gene therapy research (15 papers). Mako Yamamoto is often cited by papers focused on Cancer Research and Treatments (25 papers), Nanoplatforms for cancer theranostics (19 papers) and Virus-based gene therapy research (15 papers). Mako Yamamoto collaborates with scholars based in Japan, United States and Czechia. Mako Yamamoto's co-authors include Robert M. Hoffman, Michael Bouvet, Yukihiko Hiroshima, Shinji Miwa, Shuya Yano, Fuminari Uehara, Yong Zhang, Ming Zhao, Takashi Murakami and Makoto Noda and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Mako Yamamoto

39 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mako Yamamoto Japan 23 735 645 476 441 261 39 1.4k
Yasunori Tome Japan 19 580 0.8× 339 0.5× 320 0.7× 315 0.7× 296 1.1× 82 1.0k
Sumiyuki Mii Japan 20 355 0.5× 287 0.4× 217 0.5× 366 0.8× 145 0.6× 56 1.1k
Deepak Bhere United States 15 55 0.1× 135 0.2× 156 0.3× 604 1.4× 355 1.4× 27 1.3k
Paula Yeng Po Lam Singapore 19 64 0.1× 112 0.2× 201 0.4× 927 2.1× 419 1.6× 49 1.6k
Henry Heinsohn United States 6 113 0.2× 92 0.1× 77 0.2× 923 2.1× 154 0.6× 6 1.1k
Hiroo Ueno Japan 8 40 0.1× 307 0.5× 178 0.4× 421 1.0× 510 2.0× 10 921
Mitchell E. Menezes United States 20 90 0.1× 67 0.1× 192 0.4× 700 1.6× 308 1.2× 26 1.1k
Xiu Zheng China 8 32 0.0× 185 0.3× 250 0.5× 360 0.8× 400 1.5× 11 835
Meritxell Carrió Spain 12 65 0.1× 68 0.1× 230 0.5× 443 1.0× 134 0.5× 21 720
Beau R. Webber United States 20 71 0.1× 105 0.2× 459 1.0× 1.4k 3.1× 526 2.0× 55 1.9k

Countries citing papers authored by Mako Yamamoto

Since Specialization
Citations

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

Fields of papers citing papers by Mako Yamamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mako Yamamoto

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

All Works

20 of 20 papers shown
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Yamamoto, Mako, et al.. (2022). The physiological blood concentration of phenylalanine-proline can ameliorate cholesterol metabolism in HepG2 cells. Bioscience Biotechnology and Biochemistry. 87(1). 90–98. 1 indexed citations
4.
Beyret, Ergin, Hsin‐Kai Liao, Mako Yamamoto, et al.. (2019). Single-dose CRISPR–Cas9 therapy extends lifespan of mice with Hutchinson–Gilford progeria syndrome. Nature Medicine. 25(3). 419–422. 104 indexed citations
5.
Kurita, Masakazu, Toshikazu Araoka, Tomoaki Hishida, et al.. (2018). In vivo reprogramming of wound-resident cells generates skin epithelial tissue. Nature. 561(7722). 243–247. 109 indexed citations
6.
Yamamoto, Mako, et al.. (2016). How 4th Grade Students’ Selves Emerge in Their Diaries :. The Japanese Journal of Educational Psychology. 64(1). 76–87. 2 indexed citations
7.
Yamamoto, Mako, Ming Zhao, Yukihiko Hiroshima, et al.. (2016). Efficacy of Tumor-Targeting Salmonella A1-R on a Melanoma Patient-Derived Orthotopic Xenograft (PDOX) Nude-Mouse Model. PLoS ONE. 11(8). e0160882–e0160882. 80 indexed citations
8.
Yamamoto, Mako, et al.. (2015). Critical roles for murine Reck in the regulation of vascular patterning and stabilization. Scientific Reports. 5(1). 17860–17860. 24 indexed citations
9.
Hiroshima, Yukihiko, Ming Zhao, Yong Zhang, et al.. (2015). Tumor-Targeting Salmonella typhimurium A1-R Arrests a Chemo-Resistant Patient Soft-Tissue Sarcoma in Nude Mice. PLoS ONE. 10(8). e0134324–e0134324. 62 indexed citations
10.
Uehara, Fuminari, Yukihiko Hiroshima, Shinji Miwa, et al.. (2015). Fluorescence-Guided Surgery of Retroperitoneal-Implanted Human Fibrosarcoma in Nude Mice Delays or Eliminates Tumor Recurrence and Increases Survival Compared to Bright-Light Surgery. PLoS ONE. 10(2). e0116865–e0116865. 8 indexed citations
11.
Hiroshima, Yukihiko, Yong Zhang, Ming Zhao, et al.. (2015). Tumor-Targeting Salmonella typhimurium A1-R in Combination with Trastuzumab Eradicates HER-2-Positive Cervical Cancer Cells in Patient-Derived Mouse Models. PLoS ONE. 10(6). e0120358–e0120358. 45 indexed citations
12.
Yano, Shuya, Shinji Miwa, Hiroyuki Kishimoto, et al.. (2015). Experimental Curative Fluorescence-guided Surgery of Highly Invasive Glioblastoma Multiforme Selectively Labeled With a Killer-reporter Adenovirus. Molecular Therapy. 23(7). 1182–1188. 37 indexed citations
13.
Hiroshima, Yukihiko, Yong Zhang, Nan Zhang, et al.. (2015). Establishment of a Patient-Derived Orthotopic Xenograft (PDOX) Model of HER-2-Positive Cervical Cancer Expressing the Clinical Metastatic Pattern. PLoS ONE. 10(2). e0117417–e0117417. 85 indexed citations
14.
Miwa, Shinji, Yasunori Matsumoto, Yukihiko Hiroshima, et al.. (2014). Fluorescence-guided surgery of prostate cancer bone metastasis. Journal of Surgical Research. 192(1). 124–133. 10 indexed citations
15.
Miwa, Shinji, Shuya Yano, Mako Yamamoto, et al.. (2014). Real‐Time Fluorescence Imaging of the DNA Damage Repair Response During Mitosis. Journal of Cellular Biochemistry. 116(4). 661–666. 1 indexed citations
16.
Miwa, Shinji, Shuya Yano, Yong Zhang, et al.. (2014). Tumor-targeting Salmonella typhimurium A1-R prevents experimental human breast cancer bone metastasis in nude mice. Oncotarget. 5(16). 7119–7125. 33 indexed citations
17.
Hiroshima, Yukihiko, Ali Maawy, Yong Zhang, et al.. (2014). Fluorescence-Guided Surgery in Combination with UVC Irradiation Cures Metastatic Human Pancreatic Cancer in Orthotopic Mouse Models. PLoS ONE. 9(6). e99977–e99977. 26 indexed citations
18.
Hiroshima, Yukihiko, Ali Maawy, Masashi Momiyama, et al.. (2014). The Tumor-Educated-Macrophage Increase of Malignancy of Human Pancreatic Cancer Is Prevented by Zoledronic Acid. PLoS ONE. 9(8). e103382–e103382. 17 indexed citations
19.
Wang, Huan, Yukio Imamura, Ryota Ishibashi, et al.. (2010). The Reck tumor suppressor protein alleviates tissue damage and promotes functional recovery after transient cerebral ischemia in mice. Journal of Neurochemistry. 115(2). 385–398. 16 indexed citations
20.
Matsuzaki, Tomoko, Kazuhiro Mio, Toshihiko Ogura, et al.. (2008). RECK Forms Cowbell-shaped Dimers and Inhibits Matrix Metalloproteinase-catalyzed Cleavage of Fibronectin. Journal of Biological Chemistry. 284(6). 3461–3469. 49 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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