Tatsuya Tada
- Molecular Medicine top 0.2%
- Antibiotic Resistance in Bacteria 70
- Endocrinology top 0.5%
- Infections and bacterial resistance 20
- Vibrio bacteria research studies 15
- Clinical Biochemistry top 2%
- Pollution top 5%
- Pharmaceutical and Antibiotic Environmental Impacts 12
-
- Bacterial biofilms and quorum sensing 22
-
- Tuberculosis Research and Epidemiology 15
-
- Plant Pathogenic Bacteria Studies 13
-
- Bacteriophages and microbial interactions 9
- Co-authors
- Teruo KirikaeTohru Miyoshi‐AkiyamaKayo ShimadaMasahiro ShimojimaBharat Mani PokhrelTomomi HishinumaKyoko Kuwahara‐AraiHiroshi Ohara
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (2 papers)Journal of Virology (1 paper)
- Partner nations
- JapanNepalUnited States
In The Last Decade
Tatsuya Tada
98 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 101
- Molecular Medicine 1.2k
- Endocrinology 551
- Applied Microbiology and Biotechnology 157
- Clinical Biochemistry 158
- Pollution 263
Countries citing papers authored by Tatsuya Tada
This map shows the geographic impact of Tatsuya Tada'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 Tatsuya Tada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tatsuya Tada more than expected).
Fields of papers citing papers by Tatsuya Tada
This network shows the impact of papers produced by Tatsuya Tada. 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 Tatsuya Tada. The network helps show where Tatsuya Tada may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tatsuya Tada, 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 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 10 | |
| 4 | 2022 | 5 | |
| 5 | 2022 | 11 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 1 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 3 | |
| 10 | 2021 | 20 | |
| 11 | 2020 | 18 | |
| 12 | 2020 | 23 | |
| 13 | 2020 | 44 | |
| 14 | 2019 | 13 | |
| 15 | 2018 | 39 | |
| 16 | 2015 | 50 | |
| 17 | 2014 | 8 | |
| 18 | 2010 | 3 | |
| 19 | 2010 | 16 | |
| 20 | 2005 | 26 |
About Tatsuya Tada
Tatsuya Tada is a scholar working on Molecular Medicine, Endocrinology and Microbiology, having authored 100 papers that have together received 1.6k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (70 papers), Bacterial biofilms and quorum sensing (22 papers), Infections and bacterial resistance (20 papers), Vibrio bacteria research studies (15 papers), Tuberculosis Research and Epidemiology (15 papers), Plant Pathogenic Bacteria Studies (13 papers), Pharmaceutical and Antibiotic Environmental Impacts (12 papers) and Bacteriophages and microbial interactions (9 papers). The work is most often cited by research in Molecular Medicine (1.2k citations), Endocrinology (551 citations) and Applied Microbiology and Biotechnology (157 citations). Tatsuya Tada has collaborated with scholars based in Japan, Nepal and United States. Frequent co-authors include Teruo Kirikae, Tohru Miyoshi‐Akiyama, Kayo Shimada, Teruo Kirikae, Masahiro Shimojima, Bharat Mani Pokhrel, Tomomi Hishinuma, Kyoko Kuwahara‐Arai, Hiroshi Ohara and Mari Tohya. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Virology.
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.