E Terada
Impact in
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- Immune Cell Function and Interaction
- T-cell and Retrovirus Studies
- T-cell and B-cell Immunology
- Virology top 10%
Papers in
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- HIV/AIDS Research and Interventions 1
- Co-authors
- Hirokazu Okudaira (5 shared papers)Matsunobu Suko (3 shared papers)Yoshio Koyanagi (2 shared papers)Yoshio Ikeda (1 shared paper)Masuhiro Nishimura (1 shared paper)Hiroshi Yokoyama (1 shared paper)Yuki Mori (1 shared paper)Reiko Tanaka (2 shared papers)
In The Last Decade
E Terada
12 papers receiving 319 citations
Peers
Comparison fields: 5 of 57
- Immunology 171
- Virology 33
- Agronomy and Crop Science 58
- Genetics 119
- Endocrinology, Diabetes and Metabolism 61
Countries citing papers authored by E Terada
This map shows the geographic impact of E Terada'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 E Terada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E Terada more than expected).
Fields of papers citing papers by E Terada
This network shows the impact of papers produced by E Terada. 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 E Terada. The network helps show where E Terada may publish in the future.
Co-authors
The 25 scholars most cited alongside E Terada, 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 | 1986 | 130 | |
| 2 | 1997 | 82 | |
| 3 | 1994 | 57 | |
| 4 | 1997 | 36 | |
| 5 | Sequence analysis and molecular detection of mouse hepatitis virus using the polymerase chain reaction. | 1992 | 15 |
| 6 | Animal models utilized in the research of autoimmune disease control: experimental therapy of glomerulonephritis in NZB/W F1 mice. | 1987 | 9 |
| 7 | 1993 | 6 | |
| 8 | 1989 | 3 | |
| 9 | 2024 | 1 | |
| 10 | Solid-phase enzyme immunoassay for anti-mite IgE and IgG antibodies in allergic patients. | 1988 | 1 |
| 11 | [Treatment of interstitial pneumonia in autoimmune mice with cyclosporin A]. | 1984 | 1 |
| 12 | Cross reactivity of Mycoplasma pulmonis and Mycoplasma arthritidis antigen strains to anti-Mycoplasma pulmonis antibody in the sera of Mycoplasma pulmonis infected rats. | 1989 | 1 |
| 13 | 2025 | 0 |
About E Terada
E Terada is a scholar working on Immunology, Infectious Diseases, Molecular Biology, Epidemiology and Genetics, having authored 13 papers that have together received 342 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (1 paper), Signaling Pathways in Disease (1 paper), HIV Research and Treatment (1 paper), Allergic Rhinitis and Sensitization (1 paper), Animal Virus Infections Studies (1 paper), HIV/AIDS Research and Interventions (1 paper), Botulinum Toxin and Related Neurological Disorders (1 paper) and Respiratory Support and Mechanisms (1 paper). The work is most often cited by research in Immunology (171 citations), Virology (33 citations), Agronomy and Crop Science (58 citations), Genetics (119 citations) and Endocrinology, Diabetes and Metabolism (61 citations). E Terada has collaborated with scholars based in Japan and Australia. Frequent co-authors include Hirokazu Okudaira, Matsunobu Suko, Yoshio Koyanagi, Yoshio Ikeda, Masuhiro Nishimura, Hiroshi Yokoyama, Yuki Mori, Reiko Tanaka, Takao Shida and Akira Sasaki. Their work appears in journals such as Journal of Applied Physiology, Journal of Virology, The Journal of Immunology, Journal of Medical Microbiology and Journal of Histochemistry & Cytochemistry.
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.