Naoyoshi Maeda
Impact in
- Microbiology top 0.5%
- Actinomycetales infections and treatment
- Small Animals top 1%
- Infectious Diseases and Mycology
Papers in
- Immunology 23
- T-cell and Retrovirus Studies 10
- Immune Cell Function and Interaction 7
- Immune Response and Inflammation 6
- T-cell and B-cell Immunology 4
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- Infectious Diseases and Mycology 11
- Co-authors
- Hung Fan (9 shared papers)Yasunobu Yoshikai (10 shared papers)Massimo Palmarini (3 shared papers)Claudio Murgia (3 shared papers)Risa Nakamura (5 shared papers)Tetsuo Kase (4 shared papers)Hisakata Yamada (6 shared papers)Kensuke Shibata (4 shared papers)
- Journals
- Journal of Virology (6 papers)Virus Genes (3 papers)The Journal of Experimental Medicine (2 papers)International Immunopharmacology (2 papers)Scientific Reports (1 paper)
- Partner nations
- JapanUnited StatesSpain
In The Last Decade
Naoyoshi Maeda
40 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 92
- Microbiology 133
- Small Animals 344
- Virology 126
- Immunology 520
- Cancer Research 234
Countries citing papers authored by Naoyoshi Maeda
This map shows the geographic impact of Naoyoshi Maeda'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 Naoyoshi Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoyoshi Maeda more than expected).
Fields of papers citing papers by Naoyoshi Maeda
This network shows the impact of papers produced by Naoyoshi Maeda. 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 Naoyoshi Maeda. The network helps show where Naoyoshi Maeda may publish in the future.
Co-authors
The 25 scholars most cited alongside Naoyoshi Maeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 148 | |
| 2 | 2001 | 132 | |
| 3 | 2001 | 112 | |
| 4 | 2001 | 102 | |
| 5 | 2013 | 87 | |
| 6 | 2010 | 86 | |
| 7 | 2005 | 58 | |
| 8 | 2008 | 53 | |
| 9 | 1999 | 46 | |
| 10 | 2008 | 45 | |
| 11 | 2010 | 43 | |
| 12 | 2003 | 38 | |
| 13 | 2007 | 31 | |
| 14 | 1998 | 31 | |
| 15 | 2015 | 24 | |
| 16 | 2014 | 21 | |
| 17 | 2015 | 21 | |
| 18 | 2007 | 21 | |
| 19 | 2008 | 19 | |
| 20 | 2009 | 16 |
About Naoyoshi Maeda
Naoyoshi Maeda is a scholar working on Immunology, Small Animals, Epidemiology, Cancer Research and Agronomy and Crop Science, having authored 40 papers that have together received 1.3k indexed citations. Recurring topics across this work include Infectious Diseases and Mycology (11 papers), T-cell and Retrovirus Studies (10 papers), Myxozoan Parasites in Aquatic Species (8 papers), Immune Cell Function and Interaction (7 papers), Immune Response and Inflammation (6 papers), Influenza Virus Research Studies (5 papers), Animal Disease Management and Epidemiology (5 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Microbiology (133 citations), Small Animals (344 citations), Virology (126 citations), Immunology (520 citations) and Cancer Research (234 citations). Naoyoshi Maeda has collaborated with scholars based in Japan, United States and Spain. Frequent co-authors include Hung Fan, Yasunobu Yoshikai, Massimo Palmarini, Claudio Murgia, Risa Nakamura, Tetsuo Kase, Hisakata Yamada, Kensuke Shibata, Yoshihiro Yamamoto and Shinji Murosaki. Their work appears in journals such as Journal of Virology, Virus Genes, The Journal of Experimental Medicine, International Immunopharmacology and Scientific Reports.
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.