Go Kamoshida
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
- Vibrio bacteria research studies
Papers in
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- Bacterial biofilms and quorum sensing 5
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- Antibiotic Resistance in Bacteria 12
- Co-authors
- Tsutomu Tsuji (10 shared papers)Saotomo Itoh (8 shared papers)Tsuneyuki Ubagai (12 shared papers)Yasuo Ono (14 shared papers)Takane Kikuchi‐Ueda (10 shared papers)Shigeru Tansho‐Nagakawa (11 shared papers)Kikuo Onozaki (4 shared papers)Takemasa Takii (4 shared papers)
In The Last Decade
Go Kamoshida
32 papers receiving 682 citations
Peers
Comparison fields: 5 of 82
- Molecular Medicine 175
- Endocrinology 99
- Microbiology 79
- Immunology and Allergy 62
- Immunology 221
Countries citing papers authored by Go Kamoshida
This map shows the geographic impact of Go Kamoshida'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 Go Kamoshida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Go Kamoshida more than expected).
Fields of papers citing papers by Go Kamoshida
This network shows the impact of papers produced by Go Kamoshida. 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 Go Kamoshida. The network helps show where Go Kamoshida may publish in the future.
Co-authors
The 25 scholars most cited alongside Go Kamoshida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 74 | |
| 2 | 2012 | 71 | |
| 3 | 2010 | 52 | |
| 4 | 2014 | 50 | |
| 5 | 2012 | 49 | |
| 6 | 2020 | 41 | |
| 7 | 2018 | 37 | |
| 8 | 2013 | 33 | |
| 9 | 2014 | 32 | |
| 10 | 2016 | 24 | |
| 11 | 2017 | 23 | |
| 12 | 2011 | 22 | |
| 13 | 2012 | 20 | |
| 14 | 2015 | 19 | |
| 15 | 2022 | 16 | |
| 16 | 2013 | 16 | |
| 17 | 2017 | 15 | |
| 18 | 2020 | 13 | |
| 19 | 2015 | 11 | |
| 20 | 2024 | 10 |
About Go Kamoshida
Go Kamoshida is a scholar working on Molecular Biology, Molecular Medicine, Immunology, Endocrinology and Immunology and Allergy, having authored 33 papers that have together received 687 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (12 papers), Immune Response and Inflammation (7 papers), Cell Adhesion Molecules Research (6 papers), Vibrio bacteria research studies (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers), Bacterial biofilms and quorum sensing (5 papers), Protease and Inhibitor Mechanisms (4 papers) and Biosensors and Analytical Detection (3 papers). The work is most often cited by research in Molecular Medicine (175 citations), Endocrinology (99 citations), Microbiology (79 citations), Immunology and Allergy (62 citations) and Immunology (221 citations). Go Kamoshida has collaborated with scholars based in Japan and China. Frequent co-authors include Tsutomu Tsuji, Saotomo Itoh, Tsuneyuki Ubagai, Yasuo Ono, Takane Kikuchi‐Ueda, Shigeru Tansho‐Nagakawa, Kikuo Onozaki, Takemasa Takii, Ryuichi Nakano and Satoshi Nishida. Their work appears in journals such as Clinical & Experimental Metastasis, Infection and Immunity, Molecular Immunology, Microbiology Spectrum and Biological and Pharmaceutical Bulletin.
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.