Ayaka Sakamoto

1.5k total citations
22 papers, 229 citations indexed

About

Ayaka Sakamoto is a scholar working on Molecular Biology, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Ayaka Sakamoto has authored 22 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Epidemiology and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Ayaka Sakamoto's work include SARS-CoV-2 and COVID-19 Research (4 papers), CRISPR and Genetic Engineering (4 papers) and Family and Patient Care in Intensive Care Units (4 papers). Ayaka Sakamoto is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (4 papers), CRISPR and Genetic Engineering (4 papers) and Family and Patient Care in Intensive Care Units (4 papers). Ayaka Sakamoto collaborates with scholars based in Japan, United States and Sri Lanka. Ayaka Sakamoto's co-authors include Kazuo Takayama, Rina Hashimoto, Sayaka Deguchi, Ryota Inokuchi, Nanako Tamiya, Masao Iwagami, Takuya Yamamoto, Miki Nagao, Kazutoshi Takahashi and Takeshi Noda and has published in prestigious journals such as PLoS ONE, Cell Death and Disease and BMJ Open.

In The Last Decade

Ayaka Sakamoto

21 papers receiving 227 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ayaka Sakamoto Japan 10 73 69 47 37 26 22 229
Seth A. Hoffman United States 7 67 0.9× 42 0.6× 41 0.9× 20 0.5× 23 0.9× 16 242
Steve Anderson United States 7 69 0.9× 161 2.3× 24 0.5× 28 0.8× 18 0.7× 13 322
Alessia Di Silvestre Italy 9 119 1.6× 24 0.3× 18 0.4× 66 1.8× 23 0.9× 14 284
Ruiying Han China 4 96 1.3× 145 2.1× 22 0.5× 16 0.4× 7 0.3× 10 282
Wan-Ting Tsai Taiwan 9 65 0.9× 52 0.8× 19 0.4× 42 1.1× 3 0.1× 23 261
Robert Hammond United Kingdom 8 38 0.5× 131 1.9× 34 0.7× 101 2.7× 22 0.8× 31 277
Santos Bermejo United States 9 109 1.5× 115 1.7× 20 0.4× 89 2.4× 50 1.9× 12 326
Hang Su United States 9 78 1.1× 149 2.2× 9 0.2× 40 1.1× 7 0.3× 18 354
Lobna Al-Zaidan Qatar 6 125 1.7× 188 2.7× 52 1.1× 29 0.8× 24 0.9× 7 436

Countries citing papers authored by Ayaka Sakamoto

Since Specialization
Citations

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

Fields of papers citing papers by Ayaka Sakamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayaka Sakamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Ayaka Sakamoto. A scholar is included among the top collaborators of Ayaka Sakamoto 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 Ayaka Sakamoto. Ayaka Sakamoto 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
1.
Hashimoto, Rina, Yukio Watanabe, Masaya Sugiyama, et al.. (2025). Human iPS cell–derived respiratory organoids as a model for respiratory syncytial virus infection. Life Science Alliance. 8(7). e202402837–e202402837. 2 indexed citations
2.
Inokuchi, Ryota, et al.. (2025). Combining Conventional and Telemedicine Medical Services to Reduce the Burden on Emergency Medical Services in Rural Areas: A Retrospective Cohort Study. Prehospital Emergency Care. 29(8). 1117–1122. 1 indexed citations
3.
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Inokuchi, Ryota, et al.. (2023). Barriers to and facilitators of advance care planning implementation for medical staff after the COVID-19 pandemic: an overview of reviews. BMJ Open. 13(10). e075969–e075969. 6 indexed citations
6.
Watanabe, Yukio, Izumi Kimura, Rina Hashimoto, et al.. (2023). Virological characterization of the 2022 outbreak‐causing monkeypox virus using human keratinocytes and colon organoids. Journal of Medical Virology. 95(6). e28827–e28827. 15 indexed citations
7.
Deguchi, Sayaka, Rina Hashimoto, Ayaka Sakamoto, et al.. (2023). Elucidation of the liver pathophysiology of COVID-19 patients using liver-on-a-chips. PNAS Nexus. 2(3). pgad029–pgad029. 12 indexed citations
8.
Sakamoto, Ayaka, et al.. (2023). Association between advanced care planning and emergency department visits: A systematic review. The American Journal of Emergency Medicine. 68. 84–91. 9 indexed citations
9.
Hashimoto, Rina, Tomokazu Tamura, Yukio Watanabe, et al.. (2023). Evaluation of Broad Anti-Coronavirus Activity of Autophagy-Related Compounds Using Human Airway Organoids. Molecular Pharmaceutics. 20(4). 2276–2287. 13 indexed citations
10.
Hashimoto, Rina, Yumi Itoh, Ayaka Sakamoto, et al.. (2022). Cell response analysis in SARS-CoV-2 infected bronchial organoids. Communications Biology. 5(1). 516–516. 35 indexed citations
11.
Hashimoto, Rina, Ayaka Sakamoto, Yasufumi Matsumura, et al.. (2022). Exocyst complex component 2 is a potential host factor for SARS-CoV-2 infection. iScience. 25(11). 105427–105427. 6 indexed citations
12.
Inokuchi, Ryota, et al.. (2022). Machine learning models predicting undertriage in telephone triage. Annals of Medicine. 54(1). 2989–2996. 13 indexed citations
13.
Hashimoto, Rina, Ayaka Sakamoto, Sayaka Deguchi, et al.. (2021). Dual inhibition of TMPRSS2 and Cathepsin B prevents SARS-CoV-2 infection in iPS cells. Molecular Therapy — Nucleic Acids. 26. 1107–1114. 37 indexed citations
14.
Asaumi, Rieko, et al.. (2021). Root canal sealers affect artifacts on cone-beam computed tomography images. Odontology. 109(3). 679–686. 11 indexed citations
15.
Deguchi, Sayaka, Masahiro Tsuda, Ayaka Sakamoto, et al.. (2021). Usability of Polydimethylsiloxane-Based Microfluidic Devices in Pharmaceutical Research Using Human Hepatocytes. ACS Biomaterials Science & Engineering. 7(8). 3648–3657. 15 indexed citations
16.
Deguchi, Sayaka, Ayaka Sakamoto, Kazuo Harada, et al.. (2020). Comparison of commercially available media for hepatic differentiation and hepatocyte maintenance. PLoS ONE. 15(2). e0229654–e0229654. 14 indexed citations
17.
Sakamoto, Ayaka, et al.. (2020). Fatal acute hypernatremia resulting from a massive intake of seasoning soy sauce. Acute Medicine & Surgery. 7(1). e555–e555. 6 indexed citations
18.
Sakamoto, Ayaka, Yuki Enomoto, Hiroaki Watabe, et al.. (2020). Acute mitral valve regurgitation causing severe alveolar hemorrhage. Acute Medicine & Surgery. 7(1). e504–e504. 2 indexed citations
19.
Sakamoto, Ayaka, Takashi Tokuda, Tomoki Yamashita, et al.. (2020). Photoactivatable oncolytic adenovirus for optogenetic cancer therapy. Cell Death and Disease. 11(7). 570–570. 17 indexed citations
20.
Suzuki, Shinichi, Jiro Kondo, Masaru Tobe, et al.. (1993). [Long-term results of closed mitral commissurotomy--comparative study of closed mitral commissurotomy (CMC), open mitral commissurotomy (OMC) and mitral valve replacement (MVR)].. PubMed. 41(9). 1460–6.

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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