Yoshiaki Gu
- Epidemiology top 10%
- Infectious Diseases top 5%
- Applied Microbiology and Biotechnology top 1%
- Molecular Medicine top 5%
- Clinical Biochemistry top 5%
- Co-authors
- Norio OhmagariMitsuo KakuYoshinori YasuiTetsuji AoyagiHisakazu YanoHajime KanamoriMochammad HattaKoichi Tokuda
- Topics
- Antibiotic Use and Resistance (19 papers)Antibiotic Resistance in Bacteria (13 papers)Influenza Virus Research Studies (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEClinical Infectious Diseases
- Partner nations
- JapanUnited StatesBelgium
In The Last Decade
Yoshiaki Gu
60 papers receiving 779 citations
Peers
Comparison fields: 5 of 104
- Epidemiology 340
- Infectious Diseases 255
- Applied Microbiology and Biotechnology 186
- Molecular Medicine 161
- Clinical Biochemistry 96
Countries citing papers authored by Yoshiaki Gu
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 7 | |
| 11 | 23 | |
| 12 | 35 | |
| 13 | 8 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 27 | |
| 17 | 28 | |
| 18 | 18 | |
| 19 | Efficacy and safety for vancomycin in uncomplicated catheter-related bloodstream infection by coagulase negative Staphylococcus | 1 |
| 20 | 24 |
About Yoshiaki Gu
Yoshiaki Gu is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Infectious Diseases, having authored 66 papers that have together received 797 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (19 papers), Antibiotic Resistance in Bacteria (13 papers) and Influenza Virus Research Studies (7 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (186 citations), Molecular Medicine (161 citations) and Modeling and Simulation (75 citations). Yoshiaki Gu has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Norio Ohmagari, Mitsuo Kaku, Yoshinori Yasui, Tetsuji Aoyagi, Hisakazu Yano, Hajime Kanamori, Mochammad Hatta, Koichi Tokuda, Hajime Kamiya and N. Okabe. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Infectious Diseases.
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.