Yoshiyuki Hakata
- Virology top 2%
- HIV Research and Treatment 8
- Immunology top 10%
- T-cell and Retrovirus Studies 6
- Infectious Diseases top 10%
- HIV/AIDS drug development and treatment 5
- Agronomy and Crop Science top 10%
- Animal Disease Management and Epidemiology 3
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- Vector-Borne Animal Diseases 5
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- RNA Interference and Gene Delivery 4
- Advanced biosensing and bioanalysis techniques 4
- CRISPR and Genetic Engineering 3
- Co-authors
- Nathaniel R. LandauBärbel SchröfelbauerHisatoshi ShidaMasaaki MiyazawaMasami YamadaMatthew D. WeitzmanBenjamin N. GreenerShuzo Matsushita
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)The Journal of Experimental Medicine (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Yoshiyuki Hakata
21 papers receiving 771 citations
Peers
Comparison fields: 5 of 44
- Virology 293
- Immunology 376
- Infectious Diseases 150
- Agronomy and Crop Science 71
- Epidemiology 197
Countries citing papers authored by Yoshiyuki Hakata
This map shows the geographic impact of Yoshiyuki Hakata'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 Yoshiyuki Hakata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoshiyuki Hakata more than expected).
Fields of papers citing papers by Yoshiyuki Hakata
This network shows the impact of papers produced by Yoshiyuki Hakata. 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 Yoshiyuki Hakata. The network helps show where Yoshiyuki Hakata may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yoshiyuki Hakata, 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 | 2023 | 3 | |
| 2 | 2022 | 1 | |
| 3 | 2020 | 9 | |
| 4 | 2020 | 15 | |
| 5 | 2019 | 8 | |
| 6 | 2019 | 4 | |
| 7 | 2016 | 182 | |
| 8 | 2014 | 10 | |
| 9 | 2014 | 12 | |
| 10 | 2012 | 23 | |
| 11 | 2011 | 18 | |
| 12 | 2009 | 115 | |
| 13 | 2007 | 160 | |
| 14 | 2007 | 11 | |
| 15 | 2006 | 9 | |
| 16 | 2006 | 59 | |
| 17 | MULTIPLE ROLES OF CELLULAR EXPORT MACHINERY IN HTLV-1 Rex FUNCTIONING | 2003 | 2 |
| 18 | 2003 | 30 | |
| 19 | 2002 | 23 | |
| 20 | 2001 | 26 |
About Yoshiyuki Hakata
Yoshiyuki Hakata is a scholar working on Virology, Immunology and Infectious Diseases, having authored 21 papers that have together received 776 indexed citations. Recurring topics across this work include HIV Research and Treatment (8 papers), T-cell and Retrovirus Studies (6 papers), HIV/AIDS drug development and treatment (5 papers), Vector-Borne Animal Diseases (5 papers), RNA Interference and Gene Delivery (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), CRISPR and Genetic Engineering (3 papers) and Animal Disease Management and Epidemiology (3 papers). The work is most often cited by research in Virology (293 citations), Immunology (376 citations) and Infectious Diseases (150 citations). Yoshiyuki Hakata has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Nathaniel R. Landau, Bärbel Schröfelbauer, Hisatoshi Shida, Masaaki Miyazawa, Masami Yamada, Matthew D. Weitzman, Benjamin N. Greener, Shuzo Matsushita, Iñigo Narvaiza and David J. Pintel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.
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.