Shingo Iwami

4.4k total citations
109 papers, 2.7k citations indexed

About

Shingo Iwami is a scholar working on Infectious Diseases, Virology and Epidemiology. According to data from OpenAlex, Shingo Iwami has authored 109 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Infectious Diseases, 41 papers in Virology and 35 papers in Epidemiology. Recurrent topics in Shingo Iwami's work include HIV Research and Treatment (38 papers), COVID-19 epidemiological studies (25 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (23 papers). Shingo Iwami is often cited by papers focused on HIV Research and Treatment (38 papers), COVID-19 epidemiological studies (25 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (23 papers). Shingo Iwami collaborates with scholars based in Japan, United States and South Korea. Shingo Iwami's co-authors include Yasuhiro Takeuchi, Xianning Liu, Shinji Nakaoka, Kei Sato, Kazuyuki Aihara, Yoshiki Koizumi, Tomoyuki Miura, Yoshio Koyanagi, Koichi Watashi and Naoko Misawa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Shingo Iwami

100 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shingo Iwami Japan 28 873 836 826 821 585 109 2.7k
Libin Rong United States 34 1.1k 1.3× 1.1k 1.4× 1.7k 2.1× 961 1.2× 1.2k 2.0× 117 4.1k
Catherine A. A. Beauchemin Canada 27 662 0.8× 640 0.8× 537 0.7× 1.2k 1.4× 112 0.2× 51 2.3k
Angela R. McLean United Kingdom 33 1.4k 1.6× 534 0.6× 851 1.0× 822 1.0× 1.7k 2.9× 52 4.7k
Adam S. Lauring United States 36 2.6k 3.0× 258 0.3× 414 0.5× 1.3k 1.5× 303 0.5× 98 5.1k
Concetta Castilletti Italy 35 2.5k 2.8× 179 0.2× 1.2k 1.5× 831 1.0× 452 0.8× 160 3.8k
Andrea Pugliese Italy 31 727 0.8× 770 0.9× 1.0k 1.2× 491 0.6× 155 0.3× 154 2.7k
Saskia L. Smits Netherlands 34 3.5k 4.0× 269 0.3× 170 0.2× 1.1k 1.3× 109 0.2× 71 4.8k
Hugh McDade United Kingdom 11 848 1.0× 171 0.2× 325 0.4× 791 1.0× 1.1k 1.9× 11 2.1k
Luíz Carlos Júnior Alcântara Brazil 30 1.2k 1.4× 129 0.2× 799 1.0× 438 0.5× 248 0.4× 177 3.3k
Lionel Gresh United States 36 2.4k 2.8× 330 0.4× 2.4k 3.0× 817 1.0× 79 0.1× 74 5.0k

Countries citing papers authored by Shingo Iwami

Since Specialization
Citations

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

Fields of papers citing papers by Shingo Iwami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shingo Iwami

This figure shows the co-authorship network connecting the top 25 collaborators of Shingo Iwami. A scholar is included among the top collaborators of Shingo Iwami 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 Shingo Iwami. Shingo Iwami 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.
Tanaka, Masatake, Takeshi Goya, Koji Imoto, et al.. (2025). Stratifying and predicting progression to acute liver failure during the early phase of acute liver injury. PNAS Nexus. 4(2). pgaf004–pgaf004.
2.
Hart, William S., et al.. (2025). Effects of individual variation and seasonal vaccination on disease risks. Nature Communications. 16(1). 8471–8471.
3.
Miura, Fuminari, Masahiro Ishikane, Noriko Iwamoto, et al.. (2025). Modeling lesion transition dynamics to clinically characterize patients with clade I mpox in the Democratic Republic of the Congo. Science Translational Medicine. 17(805). eads4773–eads4773.
4.
Kim, Kwang Su, Sanae Hayashi, Kazuyuki Aihara, et al.. (2024). Multiscale modeling of HBV infection integrating intra- and intercellular viral propagation to analyze extracellular viral markers. PLoS Computational Biology. 20(3). e1011238–e1011238. 7 indexed citations
5.
Saito, Hiroaki, Makoto Yoshida, Tianchen Zhao, et al.. (2023). Antibody Profiling of Microbial Antigens in the Blood of COVID-19 mRNA Vaccine Recipients Using Microbial Protein Microarrays. Vaccines. 11(11). 1694–1694. 1 indexed citations
6.
Hart, William S., Robin N. Thompson, Akiko Makino, et al.. (2023). Contact-number-driven virus evolution: A multi-level modeling framework for the evolution of acute or persistent RNA virus infection. PLoS Computational Biology. 19(5). e1011173–e1011173. 3 indexed citations
7.
Yasunaga, Jun‐ichirou, L. Liang, Shinji Nakaoka, et al.. (2023). Anti‐HTLV‐1 immunity combined with proviral load as predictive biomarkers for adult T‐cell leukemia‐lymphoma. Cancer Science. 115(1). 310–320. 7 indexed citations
8.
Hart, William S., et al.. (2023). Analysis of the risk and pre-emptive control of viral outbreaks accounting for within-host dynamics: SARS-CoV-2 as a case study. Proceedings of the National Academy of Sciences. 120(41). e2305451120–e2305451120. 6 indexed citations
9.
Iwami, Shingo, et al.. (2023). Modeling COVID-19 vaccine booster-elicited antibody response and impact of infection history. Vaccine. 41(52). 7655–7662. 2 indexed citations
10.
Iwanami, Shoya, Katrina B. Mar, Naoko Misawa, et al.. (2022). Antithetic effect of interferon-α on cell-free and cell-to-cell HIV-1 infection. PLoS Computational Biology. 18(4). e1010053–e1010053. 2 indexed citations
11.
Yoshida, Makoto, Yurie Kobashi, Takeshi Kawamura, et al.. (2022). Factors Associated with COVID-19 Vaccine Booster Hesitancy: A Retrospective Cohort Study, Fukushima Vaccination Community Survey. Vaccines. 10(4). 515–515. 57 indexed citations
12.
Ejima, Keisuke, Kwang Su Kim, Shoya Iwanami, et al.. (2022). Designing isolation guidelines for COVID-19 patients with rapid antigen tests. Nature Communications. 13(1). 4910–4910. 19 indexed citations
13.
Iwamoto, Masashi, Junna Kawasaki, Shohei Kojima, et al.. (2021). Identification of novel avian and mammalian deltaviruses provides new insights into deltavirus evolution. Virus Evolution. 7(1). veab003–veab003. 22 indexed citations
14.
Ejima, Keisuke, Yoshiki Koizumi, Nao Yamamoto, et al.. (2021). HIV Testing by Public Health Centers and Municipalities and New HIV Cases During the COVID-19 Pandemic in Japan. JAIDS Journal of Acquired Immune Deficiency Syndromes. 87(2). e182–e187. 32 indexed citations
15.
Ejima, Keisuke, Kwang Su Kim, Christina Ludema, et al.. (2021). Estimation of the incubation period of COVID-19 using viral load data. Epidemics. 35. 100454–100454. 39 indexed citations
16.
Ejima, Keisuke, Kwang Su Kim, Shoya Iwanami, et al.. (2021). Revisiting the guidelines for ending isolation for COVID-19 patients. eLife. 10. 16 indexed citations
17.
Kim, Kwang Su, Yoshiki Koizumi, Shinji Nakaoka, et al.. (2020). Quantifying the antiviral effect of APOBEC3 on HIV-1 infection in humanized mouse model. Journal of Theoretical Biology. 498. 110295–110295. 1 indexed citations
18.
Kim, Kwang Su, et al.. (2020). Quantifying antiviral effects against simian/human immunodeficiency virus induced by host immune response. Journal of Theoretical Biology. 509. 110493–110493. 2 indexed citations
19.
Qiu, Zhipeng, et al.. (2020). Modeling HIV multiple infection. Journal of Theoretical Biology. 509. 110502–110502. 10 indexed citations
20.
Nakano, Yusuke, Naoko Misawa, Shinji Nakaoka, et al.. (2017). HIV-1 competition experiments in humanized mice show that APOBEC3H imposes selective pressure and promotes virus adaptation. PLoS Pathogens. 13(5). e1006348–e1006348. 30 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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