Chiyoji Abe
- Epidemiology top 2%
- Infectious Diseases top 1%
- Surgery top 5%
- Molecular Biology
- Molecular Medicine top 2%
- Co-authors
- Kazue HiranoYuko KazumiYutaka FukasawaKen‐ichi HiranoMasashi TakahashiTetsuo TomiyamaMasako WadaHatsumi Taniguchi
- Topics
- Mycobacterium research and diagnosis (35 papers)Tuberculosis Research and Epidemiology (33 papers)Infectious Diseases and Tuberculosis (8 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Chiyoji Abe
49 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 86
- Epidemiology 1.3k
- Infectious Diseases 1.2k
- Surgery 540
- Molecular Biology 333
- Molecular Medicine 181
Countries citing papers authored by Chiyoji Abe
This map shows the geographic impact of Chiyoji Abe'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 Chiyoji Abe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiyoji Abe more than expected).
Fields of papers citing papers by Chiyoji Abe
This network shows the impact of papers produced by Chiyoji Abe. 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 Chiyoji Abe. The network helps show where Chiyoji Abe may publish in the future.
Co-authorship network of co-authors of Chiyoji Abe
This figure shows the co-authorship network connecting the top 25 collaborators of Chiyoji Abe. A scholar is included among the top collaborators of Chiyoji Abe 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 Chiyoji Abe. Chiyoji Abe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 10 | |
| 3 | 7 | |
| 4 | [Standardization of laboratory tests for tuberculosis and their proficiency testing]. | 5 |
| 5 | 27 | |
| 6 | 16 | |
| 7 | 11 | |
| 8 | 42 | |
| 9 | 89 | |
| 10 | [Serodiagnosis with trehalose-6,6'-dimycolate of pulmonary tuberculosis]. | 1 |
| 11 | [Rapid diagnosis of tuberculosis]. | 3 |
| 12 | 51 | |
| 13 | 11 | |
| 14 | 15 | |
| 15 | 7 | |
| 16 | 2 | |
| 17 | 5 | |
| 18 | Effectiveness of immunization with single and multi-component vaccines prepared from a common antigen (OEP), protease and elastase toxoids of Pseudomonas aeruginosa on protection against hemorrhagic pneumonia in mink due to P. aeruginosa. | 50 |
| 19 | Bacteriological investigation on biopsy specimens from patients with sarcoidosis. | 53 |
| 20 | 7 |
About Chiyoji Abe
Chiyoji Abe is a scholar working on Infectious Diseases, Epidemiology and Endocrinology, having authored 50 papers that have together received 1.8k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (35 papers), Tuberculosis Research and Epidemiology (33 papers) and Infectious Diseases and Tuberculosis (8 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Epidemiology (1.3k citations) and Molecular Medicine (181 citations). Chiyoji Abe has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kazue Hirano, Yuko Kazumi, Yutaka Fukasawa, Ken‐ichi Hirano, Masashi Takahashi, Tetsuo Tomiyama, Masako Wada, Hatsumi Taniguchi, Akio Aono and Diana L. Williams. Their work appears in journals such as Clinical Infectious Diseases, Journal of Bacteriology and Journal of Clinical 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.