Yoshiaki Gu

2.2k total citations
66 papers, 797 citations indexed

About

Yoshiaki Gu is a scholar working on Epidemiology, Infectious Diseases and Applied Microbiology and Biotechnology. According to data from OpenAlex, Yoshiaki Gu has authored 66 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Epidemiology, 25 papers in Infectious Diseases and 19 papers in Applied Microbiology and Biotechnology. Recurrent topics in Yoshiaki Gu's work include Antibiotic Use and Resistance (19 papers), Antibiotic Resistance in Bacteria (13 papers) and Influenza Virus Research Studies (7 papers). Yoshiaki Gu is often cited by papers focused on Antibiotic Use and Resistance (19 papers), Antibiotic Resistance in Bacteria (13 papers) and Influenza Virus Research Studies (7 papers). Yoshiaki Gu collaborates with scholars based in Japan, United States and Belgium. Yoshiaki Gu's co-authors include Norio Ohmagari, Mitsuo Kaku, Yoshinori Yasui, Tetsuji Aoyagi, Hisakazu Yano, Hajime Kanamori, Mochammad Hatta, Koichi Tokuda, Hajime Kamiya and N. Okabe and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Yoshiaki Gu

60 papers receiving 779 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoshiaki Gu Japan 18 340 255 186 161 96 66 797
Muna Abu Sin Germany 19 394 1.2× 542 2.1× 211 1.1× 236 1.5× 116 1.2× 41 1.3k
Pete Kinross Sweden 13 335 1.0× 454 1.8× 327 1.8× 174 1.1× 92 1.0× 14 1.1k
Cheston B. Cunha United States 16 286 0.8× 279 1.1× 164 0.9× 128 0.8× 136 1.4× 41 880
Esther van Kleef United Kingdom 13 208 0.6× 246 1.0× 191 1.0× 149 0.9× 49 0.5× 26 691
Aline Wolfensberger Switzerland 15 266 0.8× 280 1.1× 165 0.9× 175 1.1× 62 0.6× 55 892
Enrico Ricchizzi Italy 15 482 1.4× 436 1.7× 279 1.5× 155 1.0× 61 0.6× 35 1.1k
Mtebe Majigo Tanzania 19 371 1.1× 430 1.7× 159 0.9× 172 1.1× 87 0.9× 90 1.0k
Brar Piening Germany 17 236 0.7× 258 1.0× 156 0.8× 243 1.5× 119 1.2× 39 1.1k
Davide Fiore Bavaro Italy 18 243 0.7× 421 1.7× 180 1.0× 205 1.3× 55 0.6× 74 1.1k
Karim Khader United States 15 422 1.2× 543 2.1× 244 1.3× 304 1.9× 192 2.0× 52 1.0k

Countries citing papers authored by Yoshiaki Gu

Since Specialization
Citations

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

Fields of papers citing papers by Yoshiaki Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoshiaki Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Yoshiaki Gu. A scholar is included among the top collaborators of Yoshiaki Gu 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 Yoshiaki Gu. Yoshiaki Gu 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.
Okamoto, Koh, Noritaka Sekiya, Akio Yamamoto, et al.. (2025). Proposed Diagnostic Criteria for Invasive Pulmonary Aspergillosis in Patients with Autoimmune Inflammatory Rheumatic Diseases: A Proof-of-Concept Study. Journal of Fungi. 11(6). 437–437. 1 indexed citations
2.
Yuasa, Akira, Hiroyuki Matsuda, Yosuke Fujii, et al.. (2025). Cost-effectiveness Analysis of Nirmatrelvir/Ritonavir Compared with Molnupiravir in Patients at High Risk for Progression to Severe COVID-19 in Japan. Journal of health economics and outcomes research. 75–85. 1 indexed citations
3.
4.
5.
Gu, Yoshiaki, et al.. (2023). Novel insights into genetic characteristics of blaGES-encoding plasmids from hospital sewage. Frontiers in Microbiology. 14. 1209195–1209195. 6 indexed citations
6.
Gu, Yoshiaki. (2022). Reviews and Future Prospects of National Action Plan on Antimicrobial Resistance (2016-2020). Nihon Naika Gakkai Zasshi. 111(8). 1620–1626. 1 indexed citations
7.
Gu, Yoshiaki. (2022). I. Changes in Infectious Disease Trends Associated with the COVID-19 Pandemic. Nihon Naika Gakkai Zasshi. 111(11). 2232–2238.
8.
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Shin, Jung‐ho, T. Okuno, Noriko Sasaki, et al.. (2021). Nationwide multicenter questionnaire surveys on countermeasures against antimicrobial resistance and infections in hospitals. BMC Infectious Diseases. 21(1). 234–234. 4 indexed citations
10.
Kusama, Yoshiki, Yuichi Muraki, Takahiro Mochizuki, et al.. (2019). Relationship between drug formulary and frequently used cephalosporins, macrolides and quinolones in Japanese hospitals. Journal of Infection and Chemotherapy. 26(2). 211–215. 7 indexed citations
11.
Aoyagi, Tetsuji, Mitsuhiro Yamada, Hiroyuki Kunishima, et al.. (2013). Characteristics of Infectious Diseases in Hospitalized Patients During the Early Phase After the 2011 Great East Japan Earthquake. CHEST Journal. 143(2). 349–356. 23 indexed citations
12.
Yano, Hisakazu, Shiro Endo, Hajime Kanamori, et al.. (2013). Molecular Characteristics of Extended-Spectrum β-Lactamases in Clinical Isolates from Escherichia coli at a Japanese Tertiary Hospital. PLoS ONE. 8(5). e64359–e64359. 35 indexed citations
13.
Kanamori, Hajime, Hiroo Saito, Noriomi Ishibashi, et al.. (2013). Tuberculosis Exposure among Evacuees at a Shelter after Earthquake, Japan, 2011. Emerging infectious diseases. 19(5). 799–801. 8 indexed citations
14.
Iwata, Kentarô, Goh Ohji, Hideaki Oka, et al.. (2012). Communicable Diseases After the Disasters: with the Special Reference to the Great East Japan Earthquake. Journal of Disaster Research. 7(6). 746–753. 1 indexed citations
15.
Gu, Yoshiaki & Mitsuo Kaku. (2012). How can we fight against antimicrobial- resistant bacteria in the World Health Organization Western Pacific Region?. Western Pacific surveillance response journal. 3(3). 40–42. 1 indexed citations
16.
Kanamori, Hajime, Hisakazu Yano, Yoichi Hirakata, et al.. (2012). Molecular Characteristics of Extended-Spectrum Beta-Lactamases and qnr Determinants in Enterobacter Species from Japan. PLoS ONE. 7(6). e37967–e37967. 27 indexed citations
17.
Gu, Yoshiaki. (2011). Pandemic (H1N1) 2009 Transmission during Presymptomatic Phase, Japan. Emerging infectious diseases. 17(9). 1737–1739. 28 indexed citations
18.
Hatta, Mochammad, Shiro Endo, Koichi Tokuda, et al.. (2011). Post-Tsunami Outbreaks of Influenza in Evacuation Centers in Miyagi Prefecture, Japan. Clinical Infectious Diseases. 54(1). e5–e7. 18 indexed citations
19.
Mochizuki, Takahiro, Tomoaki Sato, Keiji Okinaka, et al.. (2010). Efficacy and safety for vancomycin in uncomplicated catheter-related bloodstream infection by coagulase negative Staphylococcus. 58(3). 233–238. 1 indexed citations
20.
Gu, Yoshiaki, Hajime Kamiya, Yuichiro Yahata, et al.. (2010). Household transmission of pandemic 2009 influenza A (H1N1) virus in Osaka, Japan in May 2009. Journal of Infection. 61(4). 284–288. 24 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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