Yuri Furusawa

3.1k total citations · 1 hit paper
20 papers, 458 citations indexed

About

Yuri Furusawa is a scholar working on Infectious Diseases, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yuri Furusawa has authored 20 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 3 papers in Molecular Biology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yuri Furusawa's work include SARS-CoV-2 and COVID-19 Research (11 papers), SARS-CoV-2 detection and testing (8 papers) and COVID-19 Clinical Research Studies (6 papers). Yuri Furusawa is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (11 papers), SARS-CoV-2 detection and testing (8 papers) and COVID-19 Clinical Research Studies (6 papers). Yuri Furusawa collaborates with scholars based in Japan, United States and Uganda. Yuri Furusawa's co-authors include Yoshihiro Kawaoka, Masaki Imai, Hiroshi Ueki, Kiyoko Iwatsuki‐Horimoto, Hidekazu Nishimura, Hiroki Kabata, Seiya Yamayoshi, Maki Kiso, Ryuta Uraki and Tadaki Suzuki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Virology.

In The Last Decade

Yuri Furusawa

18 papers receiving 452 citations

Hit Papers

Effectiveness of Face Mas... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuri Furusawa Japan 9 205 179 95 91 57 20 458
M. Jane Morwitzer United States 7 329 1.6× 185 1.0× 149 1.6× 123 1.4× 49 0.9× 9 556
Sarah Goldie Australia 6 248 1.2× 237 1.3× 112 1.2× 53 0.6× 21 0.4× 7 484
Dario Akaberi Sweden 9 164 0.8× 246 1.4× 65 0.7× 56 0.6× 44 0.8× 17 498
Alyssa C. Fears United States 8 277 1.4× 184 1.0× 142 1.5× 87 1.0× 25 0.4× 9 468
Tom Wai‐Hin Chung Hong Kong 10 144 0.7× 368 2.1× 87 0.9× 78 0.9× 68 1.2× 16 635
Janina Krambrich Sweden 7 164 0.8× 233 1.3× 65 0.7× 56 0.6× 38 0.7× 12 454
Risa Bandou Japan 10 230 1.1× 182 1.0× 52 0.5× 50 0.5× 18 0.3× 33 419
Jianxin Ma China 8 255 1.2× 139 0.8× 146 1.5× 63 0.7× 27 0.5× 22 543
Cuiting Luo China 8 106 0.5× 365 2.0× 70 0.7× 56 0.6× 82 1.4× 18 575
Manja Czech‐Sioli Germany 9 105 0.5× 90 0.5× 96 1.0× 193 2.1× 33 0.6× 15 406

Countries citing papers authored by Yuri Furusawa

Since Specialization
Citations

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

Fields of papers citing papers by Yuri Furusawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuri Furusawa

This figure shows the co-authorship network connecting the top 25 collaborators of Yuri Furusawa. A scholar is included among the top collaborators of Yuri Furusawa 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 Yuri Furusawa. Yuri Furusawa 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.
Furusawa, Yuri, Maki Kiso, Ryuta Uraki, et al.. (2025). Amino acid substitutions in NSP6 and NSP13 of SARS-CoV-2 contribute to superior virus growth at low temperatures. Journal of Virology. 99(3). e0221724–e0221724.
2.
Furusawa, Yuri, Kiyoko Iwatsuki‐Horimoto, Seiya Yamayoshi, & Yoshihiro Kawaoka. (2025). The NSP6-L260F substitution in SARS-CoV-2 BQ.1.1 and XBB.1.16 lineages compensates for the reduced viral polymerase activity caused by mutations in NSP13 and NSP14. Journal of Virology. 99(6). e0065625–e0065625. 1 indexed citations
3.
Ueki, Hiroshi, Maki Kiso, Yuri Furusawa, et al.. (2024). Development of a Mouse-Adapted Reporter SARS-CoV-2 as a Tool for Two-Photon In Vivo Imaging. Viruses. 16(4). 537–537. 2 indexed citations
4.
Hattori, Shin-ichiro, Haydar Bulut, Hironori Hayashi, et al.. (2024). Structural and virologic mechanism of the emergence of resistance to M pro inhibitors in SARS-CoV-2. Proceedings of the National Academy of Sciences. 121(37). e2404175121–e2404175121. 7 indexed citations
5.
Halfmann, Peter, Kiyoko Iwatsuki‐Horimoto, Makoto Kuroda, et al.. (2024). Characterization of Omicron BA.4.6, XBB, and BQ.1.1 subvariants in hamsters. Communications Biology. 7(1). 331–331. 6 indexed citations
7.
Kiso, Maki, Seiya Yamayoshi, Shun Iida, et al.. (2023). In vitro and in vivo characterization of SARS-CoV-2 resistance to ensitrelvir. Nature Communications. 14(1). 4231–4231. 38 indexed citations
8.
Kiso, Maki, Yuri Furusawa, Ryuta Uraki, et al.. (2023). In vitro and in vivo characterization of SARS-CoV-2 strains resistant to nirmatrelvir. Nature Communications. 14(1). 3952–3952. 22 indexed citations
9.
Furusawa, Yuri, Seiya Yamayoshi, & Yoshihiro Kawaoka. (2023). The accuracy of reverse genetics systems for SARS‐CoV‐2: Circular polymerase extension reaction versus bacterial artificial chromosome. Influenza and Other Respiratory Viruses. 17(3). e13109–e13109. 8 indexed citations
10.
Furusawa, Yuri, Satoru Iwashima, Hiroki Uchiyama, & Takamichi Ishikawa. (2023). PS-C30-4: ASSOCIATION OF ASSISTED REPRODUCTIVE TECHNOLOGIES WITH ARTERIAL HYPERTENSION DURING NEWBORN. Journal of Hypertension. 41(Suppl 1). e465–e465. 1 indexed citations
11.
12.
Uraki, Ryuta, Maki Kiso, Masaki Imai, et al.. (2022). Therapeutic efficacy of monoclonal antibodies and antivirals against SARS-CoV-2 Omicron BA.1 in Syrian hamsters. Nature Microbiology. 7(8). 1252–1258. 22 indexed citations
13.
Ueki, Hiroshi, Mutsumi Ito, Yuri Furusawa, et al.. (2022). A 265-Nanometer High-Power Deep-UV Light-Emitting Diode Rapidly Inactivates SARS-CoV-2 Aerosols. mSphere. 7(2). e0094121–e0094121. 17 indexed citations
14.
Uwamino, Yoshifumi, Wataru Aoki, Terumichi Nakagawa, et al.. (2021). Accuracy of rapid antigen detection test for nasopharyngeal swab specimens and saliva samples in comparison with RT-PCR and viral culture for SARS-CoV-2 detection. Journal of Infection and Chemotherapy. 27(7). 1058–1062. 17 indexed citations
15.
Ueki, Hiroshi, Yuri Furusawa, Kiyoko Iwatsuki‐Horimoto, et al.. (2020). Effectiveness of Face Masks in Preventing Airborne Transmission of SARS-CoV-2. mSphere. 5(5). 263 indexed citations breakdown →
17.
Kiso, Maki, Seiya Yamayoshi, Yuri Furusawa, Masaki Imai, & Yoshihiro Kawaoka. (2019). Treatment of Highly Pathogenic H7N9 Virus-Infected Mice with Baloxavir Marboxil. Viruses. 11(11). 1066–1066. 9 indexed citations
18.
Furusawa, Yuri, S. Yamada, & Yoshihiro Kawaoka. (2018). Host Factor Nucleoporin 93 Is Involved in the Nuclear Export of Influenza Virus RNA. Frontiers in Microbiology. 9. 1675–1675. 11 indexed citations
19.
Furusawa, Yuri, Takeo Kubo, & Taro Fukazawa. (2016). Phyhd1, an XPhyH-like homologue, is induced in mouse T cells upon T cell stimulation. Biochemical and Biophysical Research Communications. 472(3). 551–556. 5 indexed citations
20.
Nomura, Toshifumi, et al.. (1998). [A case of isocyanate-induced hypersensitivity pneumonitis].. PubMed. 87(10). 2081–3. 1 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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