T. EZAKI
- Molecular Biology top 2%
- Ecology top 1%
- Plant Science top 2%
- Epidemiology top 5%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Eiko YabuuchiYohey HashimotoYutaka KawamuraFarjana SultanaX.-G. HouHiroaki MiuraS KusunokiHiroaki Yamamoto
- Topics
- Genomics and Phylogenetic Studies (8 papers)Bacterial Identification and Susceptibility Testing (6 papers)Streptococcal Infections and Treatments (6 papers)
- Cited by
- MicrobiologyEcologyPeriodontics
- Journals
- INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGYFEMS Microbiology LettersPediatrics International
- Partner nations
- JapanUnited States
In The Last Decade
T. EZAKI
17 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Molecular Biology 3.1k
- Ecology 1.6k
- Plant Science 852
- Epidemiology 696
- Public Health, Environmental and Occupational Health 493
Countries citing papers authored by T. EZAKI
This map shows the geographic impact of T. EZAKI'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 T. EZAKI with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. EZAKI more than expected).
Fields of papers citing papers by T. EZAKI
This network shows the impact of papers produced by T. EZAKI. 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 T. EZAKI. The network helps show where T. EZAKI may publish in the future.
Co-authorship network of co-authors of T. EZAKI
This figure shows the co-authorship network connecting the top 25 collaborators of T. EZAKI. A scholar is included among the top collaborators of T. EZAKI 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 T. EZAKI. T. EZAKI is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 101 | |
| 2 | 2 | |
| 3 | 34 | |
| 4 | 63 | |
| 5 | 134 | |
| 6 | 1 | |
| 7 | 406 | |
| 8 | 19 | |
| 9 | 56 | |
| 10 | 1 | |
| 11 | 191 | |
| 12 | 4 | |
| 13 | 117 | |
| 14 | 3 | |
| 15 | Fluorometric Deoxyribonucleic Acid-Deoxyribonucleic Acid Hybridization in Microdilution Wells as an Alternative to Membrane Filter Hybridization in which Radioisotopes Are Used To Determine Genetic Relatedness among Bacterial Strainsbreakdown → | 3157 |
| 16 | 3 | |
| 17 | 0 | |
| 18 | 110 |
About T. EZAKI
T. EZAKI is a scholar working on Clinical Biochemistry, Endocrinology and Epidemiology, having authored 18 papers that have together received 4.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Bacterial Identification and Susceptibility Testing (6 papers) and Streptococcal Infections and Treatments (6 papers). The work is most often cited by research in Microbiology (201 citations), Ecology (1.6k citations) and Periodontics (234 citations). T. EZAKI has collaborated with scholars based in Japan and United States. Frequent co-authors include Eiko Yabuuchi, Yohey Hashimoto, Yutaka Kawamura, Farjana Sultana, X.-G. Hou, Hiroaki Miura, S Kusunoki, Hiroaki Yamamoto, Norio Yamamoto and Shinnichiro Suzuki. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, FEMS Microbiology Letters and Pediatrics International.
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.