Sakuo Yamada
- Microbiology top 1%
- Antimicrobial Peptides and Activities 7
- Periodontics top 2%
- Oral microbiology and periodontitis research 7
- Infectious Diseases top 5%
- Antimicrobial Resistance in Staphylococcus 16
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria 3
- Clinical Biochemistry top 5%
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- Bacterial biofilms and quorum sensing 11
- Biochemical and Structural Characterization 7
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- Bacterial Genetics and Biotechnology 10
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- Streptococcal Infections and Treatments 5
- Co-authors
- Hitoshi KomatsuzawaMotoyuki SugaiTamaki FujiwaraJun‐ichi YamagishiToshihisa KawaiKazuhisa OuharaMartin A. TaubmanYoshihiro Oyamada
- Journals
- Medical Molecular Morphology (6 papers)Molecular Microbiology (4 papers)Infection and Immunity (2 papers)
- Partner nations
- JapanGermanySouth Korea
In The Last Decade
Sakuo Yamada
35 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 101
- Microbiology 340
- Periodontics 170
- Infectious Diseases 464
- Molecular Medicine 106
- Clinical Biochemistry 78
Countries citing papers authored by Sakuo Yamada
This map shows the geographic impact of Sakuo Yamada'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 Sakuo Yamada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sakuo Yamada more than expected).
Fields of papers citing papers by Sakuo Yamada
This network shows the impact of papers produced by Sakuo Yamada. 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 Sakuo Yamada. The network helps show where Sakuo Yamada may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sakuo Yamada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2019 | 20 | |
| 4 | 2017 | 6 | |
| 5 | 2013 | 10 | |
| 6 | 2013 | 11 | |
| 7 | 2012 | 41 | |
| 8 | 2012 | 8 | |
| 9 | 2009 | 47 | |
| 10 | 2008 | 2 | |
| 11 | 2007 | 33 | |
| 12 | 2006 | 16 | |
| 13 | 2005 | 33 | |
| 14 | 2005 | 140 | |
| 15 | 2004 | 30 | |
| 16 | 2004 | 95 | |
| 17 | 2003 | 106 | |
| 18 | 2002 | 19 | |
| 19 | 2000 | 113 | |
| 20 | 1997 | 49 |
About Sakuo Yamada
Sakuo Yamada is a scholar working on Periodontics, Microbiology, Microbiology, Infectious Diseases and Otorhinolaryngology, having authored 36 papers that have together received 1.4k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (16 papers), Bacterial biofilms and quorum sensing (11 papers), Bacterial Genetics and Biotechnology (10 papers), Antimicrobial Peptides and Activities (7 papers), Oral microbiology and periodontitis research (7 papers), Biochemical and Structural Characterization (7 papers), Streptococcal Infections and Treatments (5 papers) and Antibiotic Resistance in Bacteria (3 papers). The work is most often cited by research in Microbiology (340 citations), Periodontics (170 citations), Infectious Diseases (464 citations), Molecular Medicine (106 citations) and Clinical Biochemistry (78 citations). Sakuo Yamada has collaborated with scholars based in Japan, Germany and South Korea. Frequent co-authors include Hitoshi Komatsuzawa, Motoyuki Sugai, Tamaki Fujiwara, Jun‐ichi Yamagishi, Toshihisa Kawai, Kazuhisa Ouhara, Martin A. Taubman, Yoshihiro Oyamada, Hidemi Kurihara and Tetsuya Nishida. Their work appears in journals such as Medical Molecular Morphology, Molecular Microbiology, Infection and Immunity, Genes to Cells and Journal of Bacteriology.
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.