Ami Yamamoto

757 total citations
18 papers, 507 citations indexed

About

Ami Yamamoto is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Ami Yamamoto has authored 18 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Oncology. Recurrent topics in Ami Yamamoto's work include Pluripotent Stem Cells Research (4 papers), Muscle Physiology and Disorders (4 papers) and Protein Structure and Dynamics (2 papers). Ami Yamamoto is often cited by papers focused on Pluripotent Stem Cells Research (4 papers), Muscle Physiology and Disorders (4 papers) and Protein Structure and Dynamics (2 papers). Ami Yamamoto collaborates with scholars based in United States, Japan and Mexico. Ami Yamamoto's co-authors include Melissa K. Gardner, Courtney Coombes, David J. Odde, Rita C. R. Perlingeiro, Kevin J. Cheung, Tania Incitti, Alessandro Magli, Jonathon Howard, Joshua Alper and Yin Huang and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Blood.

In The Last Decade

Ami Yamamoto

18 papers receiving 505 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ami Yamamoto United States 12 345 189 82 78 48 18 507
Tim Pieters Belgium 12 421 1.2× 57 0.3× 78 1.0× 38 0.5× 54 1.1× 26 563
Rory Flinn United States 7 394 1.1× 206 1.1× 99 1.2× 28 0.4× 27 0.6× 7 599
Massimo Chiesa Spain 10 576 1.7× 230 1.2× 282 3.4× 41 0.5× 43 0.9× 13 801
Anja S. Knaupp Australia 15 539 1.6× 60 0.3× 50 0.6× 55 0.7× 37 0.8× 23 673
Florence Godey France 7 227 0.7× 169 0.9× 65 0.8× 46 0.6× 34 0.7× 20 422
Assou El‐Battari France 13 436 1.3× 138 0.7× 50 0.6× 28 0.4× 29 0.6× 20 572
HF Kung United States 7 292 0.8× 76 0.4× 41 0.5× 50 0.6× 64 1.3× 11 407
Annat Raiter Israel 15 238 0.7× 179 0.9× 79 1.0× 62 0.8× 25 0.5× 33 499
Zsuzsanna Újfaludi Hungary 13 438 1.3× 55 0.3× 72 0.9× 26 0.3× 64 1.3× 28 571

Countries citing papers authored by Ami Yamamoto

Since Specialization
Citations

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

Fields of papers citing papers by Ami Yamamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ami Yamamoto

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

All Works

18 of 18 papers shown
1.
Kato, Koichiro, Ami Yamamoto, Chiduru Watanabe, & Kaori Fukuzawa. (2023). Application of Model Core Potentials to Zn- and Mg-containing Metalloproteins in the Fragment Molecular Orbital Method. 23(0). 14–25. 1 indexed citations
2.
Yamamoto, Ami, Yin Huang, Brad A. Krajina, et al.. (2023). Metastasis from the tumor interior and necrotic core formation are regulated by breast cancer-derived angiopoietin-like 7. Proceedings of the National Academy of Sciences. 120(10). e2214888120–e2214888120. 38 indexed citations
3.
Yamamoto, Ami, et al.. (2022). Orchestration of Collective Migration and Metastasis by Tumor Cell Clusters. Annual Review of Pathology Mechanisms of Disease. 18(1). 231–256. 22 indexed citations
4.
Shi, Jia, Naoko Miyagawa, Katsuhiko Takahashi, et al.. (2022). Sulfated Hyaluronan Binds to Heparanase and Blocks Its Enzymatic and Cellular Actions in Carcinoma Cells. International Journal of Molecular Sciences. 23(9). 5055–5055. 6 indexed citations
5.
Fukuzawa, Kaori, Koichiro Kato, Chiduru Watanabe, et al.. (2021). Special Features of COVID-19 in the FMODB: Fragment Molecular Orbital Calculations and Interaction Energy Analysis of SARS-CoV-2-Related Proteins. Journal of Chemical Information and Modeling. 61(9). 4594–4612. 15 indexed citations
6.
Yamamoto, Ami, Yin Huang, Margaux McBirney, et al.. (2020). Regulation of Collective Metastasis by Nanolumenal Signaling. Cell. 183(2). 395–410.e19. 50 indexed citations
7.
8.
Mondragón-González, Ricardo, Karim Azzag, Sridhar Selvaraj, Ami Yamamoto, & Rita C. R. Perlingeiro. (2019). Transplantation studies reveal internuclear transfer of toxic RNA in engrafted muscles of myotonic dystrophy 1 mice. EBioMedicine. 47. 553–562. 7 indexed citations
9.
Incitti, Tania, Alessandro Magli, Radbod Darabi, et al.. (2019). Pluripotent stem cell-derived myogenic progenitors remodel their molecular signature upon in vivo engraftment. Proceedings of the National Academy of Sciences. 116(10). 4346–4351. 34 indexed citations
10.
Baik, June, Ami Yamamoto, Charles P. Theuer, et al.. (2017). Endoglin: a novel target for therapeutic intervention in acute leukemias revealed in xenograft mouse models. Blood. 129(18). 2526–2536. 24 indexed citations
11.
Kim, Jaemin, et al.. (2017). Generation of skeletal myogenic progenitors from human pluripotent stem cells using non-viral delivery of minicircle DNA. Stem Cell Research. 23. 87–94. 12 indexed citations
12.
Magli, Alessandro, Tania Incitti, James P. Kiley, et al.. (2017). PAX7 Targets, CD54, Integrin α9β1, and SDC2, Allow Isolation of Human ESC/iPSC-Derived Myogenic Progenitors. Cell Reports. 19(13). 2867–2877. 61 indexed citations
13.
Coombes, Courtney, Ami Yamamoto, Mark McClellan, et al.. (2016). Mechanism of microtubule lumen entry for the α-tubulin acetyltransferase enzyme αTAT1. Proceedings of the National Academy of Sciences. 113(46). E7176–E7184. 84 indexed citations
14.
Klimowicz, Amy K., Kathleen T. Hackett, Ami Yamamoto, et al.. (2015). Targeted mutagenesis of intergenic regions in the Neisseria gonorrhoeae gonococcal genetic island reveals multiple regulatory mechanisms controlling type IV secretion. Molecular Microbiology. 97(6). 1168–1185. 6 indexed citations
15.
Wang, Yaya, et al.. (2015). PTPN22 Variant R620W Is Associated With Reduced Toll‐like Receptor 7–Induced Type I Interferon in Systemic Lupus Erythematosus. Arthritis & Rheumatology. 67(9). 2403–2414. 36 indexed citations
16.
Masuda, Taro, Ami Yamamoto, & Haruhiko Toyohara. (2014). The iron content and ferritin contribution in fresh, dried, and toasted nori, Pyropia yezoensis. Bioscience Biotechnology and Biochemistry. 79(1). 74–81. 11 indexed citations
17.
Coombes, Courtney, et al.. (2013). Evolving Tip Structures Can Explain Age-Dependent Microtubule Catastrophe. Current Biology. 23(14). 1342–1348. 88 indexed citations
18.
Yamamoto, Miyako, et al.. (2004). Gene expression analysis of an integrin family of genes by systematic multiplex reverse transcription‐polymerase chain reaction. Electrophoresis. 25(14). 2201–2211. 6 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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