Teruko Ohkura
- Infectious Diseases top 10%
- Public Health, Environmental and Occupational Health top 10%
- Clinical Biochemistry top 5%
- Molecular Biology
- Endocrinology top 10%
- Co-authors
- Michio OhtaKeizo ToriiTadao HasegawaToshi NadaShin-nosuke HashikawaYoshitsugu IinumaManabu FurushitaHisashi Baba
- Topics
- Antimicrobial Resistance in Staphylococcus (8 papers)Bacterial Identification and Susceptibility Testing (6 papers)Streptococcal Infections and Treatments (3 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Teruko Ohkura
15 papers receiving 333 citations
Peers
Comparison fields: 5 of 56
- Infectious Diseases 180
- Public Health, Environmental and Occupational Health 159
- Clinical Biochemistry 88
- Molecular Biology 81
- Endocrinology 59
Countries citing papers authored by Teruko Ohkura
This map shows the geographic impact of Teruko Ohkura'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 Teruko Ohkura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teruko Ohkura more than expected).
Fields of papers citing papers by Teruko Ohkura
This network shows the impact of papers produced by Teruko Ohkura. 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 Teruko Ohkura. The network helps show where Teruko Ohkura may publish in the future.
Co-authorship network of co-authors of Teruko Ohkura
This figure shows the co-authorship network connecting the top 25 collaborators of Teruko Ohkura. A scholar is included among the top collaborators of Teruko Ohkura 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 Teruko Ohkura. Teruko Ohkura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 24 | |
| 4 | 2 | |
| 5 | 28 | |
| 6 | 11 | |
| 7 | 18 | |
| 8 | 13 | |
| 9 | Usefulness of phage open-reading frame typing method in an epidemiological study of an outbreak of methicillin-resistant Staphylococcus aureus infections. | 14 |
| 10 | 10 | |
| 11 | 9 | |
| 12 | 32 | |
| 13 | A small outbreak of third generation cephem-resistant Citrobacter freundii infection on a surgical ward. | 27 |
| 14 | 147 | |
| 15 | 4 |
About Teruko Ohkura
Teruko Ohkura is a scholar working on Clinical Biochemistry, Molecular Medicine and Endocrinology, having authored 15 papers that have together received 348 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (8 papers), Bacterial Identification and Susceptibility Testing (6 papers) and Streptococcal Infections and Treatments (3 papers). The work is most often cited by research in Clinical Biochemistry (88 citations), Endocrinology (59 citations) and Infectious Diseases (180 citations). Teruko Ohkura has collaborated with scholars based in Japan and United States. Frequent co-authors include Michio Ohta, Keizo Torii, Tadao Hasegawa, Toshi Nada, Shin-nosuke Hashikawa, Yoshitsugu Iinuma, Manabu Furushita, Hisashi Baba, Masaaki Minami and Tetsuya Yagi. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Medical Microbiology and Current Microbiology.
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.