Ronald M. Goto
- Immunology top 5%
- Molecular Biology
- Animal Science and Zoology top 2%
- Epidemiology top 10%
- Microbiology top 2%
- Co-authors
- Marcia M. MillerW. Elwood BrilesRima ZoorobHans AbplanalpCharles AuffrayTakashi ShiinaKazuyoshi HosomichiRobert L. Taylor
- Topics
- Immune Cell Function and Interaction (19 papers)T-cell and B-cell Immunology (19 papers)Herpesvirus Infections and Treatments (10 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of ImmunologyDevelopmental Biology
- Partner nations
- United StatesFranceJapan
In The Last Decade
Ronald M. Goto
41 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 74
- Immunology 855
- Molecular Biology 373
- Animal Science and Zoology 274
- Epidemiology 256
- Microbiology 220
Countries citing papers authored by Ronald M. Goto
This map shows the geographic impact of Ronald M. Goto'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 Ronald M. Goto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ronald M. Goto more than expected).
Fields of papers citing papers by Ronald M. Goto
This network shows the impact of papers produced by Ronald M. Goto. 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 Ronald M. Goto. The network helps show where Ronald M. Goto may publish in the future.
Co-authorship network of co-authors of Ronald M. Goto
This figure shows the co-authorship network connecting the top 25 collaborators of Ronald M. Goto. A scholar is included among the top collaborators of Ronald M. Goto 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 Ronald M. Goto. Ronald M. Goto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 64 | |
| 8 | 7 | |
| 9 | 79 | |
| 10 | Report of new alleles at BG loci in Camperos chickens | 0 |
| 11 | 84 | |
| 12 | 60 | |
| 13 | 73 | |
| 14 | At least one class I gene in restriction fragment pattern-Y (Rfp-Y), the second MHC gene cluster in the chicken, is transcribed, polymorphic, and shows divergent specialization in antigen binding region | 2 |
| 15 | 44 | |
| 16 | 18 | |
| 17 | 33 | |
| 18 | 44 | |
| 19 | 21 | |
| 20 | 61 |
About Ronald M. Goto
Ronald M. Goto is a scholar working on Immunology, Microbiology and Animal Science and Zoology, having authored 44 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (19 papers), T-cell and B-cell Immunology (19 papers) and Herpesvirus Infections and Treatments (10 papers). The work is most often cited by research in Immunology (855 citations), Microbiology (220 citations) and Animal Science and Zoology (274 citations). Ronald M. Goto has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Marcia M. Miller, W. Elwood Briles, Rima Zoorob, Hans Abplanalp, Charles Auffray, Takashi Shiina, Kazuyoshi Hosomichi, Robert L. Taylor, Hidetoshi Inoko and Mary E. Delany. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Developmental Biology.
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.