Hiroshi Zen‐Yōji
- Genetics top 10%
- Endocrinology top 2%
- Pharmacology top 5%
- Molecular Biology
- Immunology
- Co-authors
- Tsutomu MaruyamaSenzo SAKAIYoshitoki YANAGAWAY OsadaS. SakaiYasuo KudohSatoshi MorozumiHiroshi HITOKOTO
- Topics
- Mycobacterium research and diagnosis (7 papers)Yersinia bacterium, plague, ectoparasites research (7 papers)Vibrio bacteria research studies (6 papers)
- Partner nations
- JapanIndiaUnited States
In The Last Decade
Hiroshi Zen‐Yōji
36 papers receiving 452 citations
Peers
Comparison fields: 5 of 73
- Genetics 237
- Endocrinology 223
- Pharmacology 149
- Molecular Biology 124
- Immunology 118
Countries citing papers authored by Hiroshi Zen‐Yōji
This map shows the geographic impact of Hiroshi Zen‐Yōji'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 Hiroshi Zen‐Yōji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Zen‐Yōji more than expected).
Fields of papers citing papers by Hiroshi Zen‐Yōji
This network shows the impact of papers produced by Hiroshi Zen‐Yōji. 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 Hiroshi Zen‐Yōji. The network helps show where Hiroshi Zen‐Yōji may publish in the future.
Co-authorship network of co-authors of Hiroshi Zen‐Yōji
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Zen‐Yōji. A scholar is included among the top collaborators of Hiroshi Zen‐Yōji 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 Hiroshi Zen‐Yōji. Hiroshi Zen‐Yōji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Stimulation of plasma fibronectin production in mice by muroctasin. | 3 |
| 2 | 6 | |
| 3 | Observations on the correlation between pathogenicity and serovars of Yersinia enterocolitica by the assay applying cell culture system and experimental mouse infection. | 15 |
| 4 | On the activity of amoxicillin against experimental treponema infection | 1 |
| 5 | 24 | |
| 6 | Manual for the isolation and identification of enteropathogenic bacteria. | 3 |
| 7 | 3 | |
| 8 | 63 | |
| 9 | 7 | |
| 10 | 4 | |
| 11 | 11 | |
| 12 | 48 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 6 | |
| 16 | 43 | |
| 17 | Studies on the Skin-Test Antigen of Whooping Cough. | 3 |
| 18 | Studies on Haemophilus petiussis. III. Extraction of the Cell-Components and its Immunological Property. | 1 |
| 19 | 0 | |
| 20 | 2 |
About Hiroshi Zen‐Yōji
Hiroshi Zen‐Yōji is a scholar working on Endocrinology, Molecular Medicine and Pharmacology, having authored 40 papers that have together received 598 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (7 papers), Yersinia bacterium, plague, ectoparasites research (7 papers) and Vibrio bacteria research studies (6 papers). The work is most often cited by research in Endocrinology (223 citations), Pharmacology (149 citations) and Molecular Medicine (57 citations). Hiroshi Zen‐Yōji has collaborated with scholars based in Japan, India and United States. Frequent co-authors include Tsutomu Maruyama, Senzo SAKAI, Yoshitoki YANAGAWA, Y Osada, S. Sakai, Yasuo Kudoh, Satoshi Morozumi, Hiroshi HITOKOTO, Tokumitsu Tanaka and Tsutomu Une. Their work appears in journals such as Journal of Clinical Microbiology, The Journal of Infectious Diseases and Infection and Immunity.
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.