Naoaki Yokoyama
Impact in
- Parasitology top 0.02%
- Vector-borne infectious diseases
- Toxoplasma gondii Research Studies
- Infectious Diseases top 0.5%
- Viral Infections and Vectors
Papers in
- Parasitology 222
- Vector-borne infectious diseases 204
- Toxoplasma gondii Research Studies 24
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- Vector-Borne Animal Diseases 94
- Co-authors
- Ikuo Igarashi (182 shared papers)Thillaiampalam Sivakumar (91 shared papers)Xuenan Xuan (71 shared papers)Mahmoud AbouLaila (41 shared papers)Hisashi INOKUMA (29 shared papers)Noboru Inoue (39 shared papers)Chihiro Sugimoto (19 shared papers)Kotaro Matsumoto (21 shared papers)
In The Last Decade
Naoaki Yokoyama
317 papers receiving 7.3k citations
Peers
Comparison fields: 5 of 119
- Parasitology 5.0k
- Infectious Diseases 2.2k
- Ecology, Evolution, Behavior and Systematics 2.4k
- Insect Science 1.2k
- Immunology 888
Countries citing papers authored by Naoaki Yokoyama
This map shows the geographic impact of Naoaki Yokoyama'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 Naoaki Yokoyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoaki Yokoyama more than expected).
Fields of papers citing papers by Naoaki Yokoyama
This network shows the impact of papers produced by Naoaki Yokoyama. 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 Naoaki Yokoyama. The network helps show where Naoaki Yokoyama may publish in the future.
Co-authors
The 25 scholars most cited alongside Naoaki Yokoyama, 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 327 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 176 | |
| 2 | 2009 | 151 | |
| 3 | 2007 | 151 | |
| 4 | 2005 | 143 | |
| 5 | 2019 | 113 | |
| 6 | 2011 | 112 | |
| 7 | 1999 | 95 | |
| 8 | 2006 | 91 | |
| 9 | 2014 | 87 | |
| 10 | 1999 | 79 | |
| 11 | 2002 | 78 | |
| 12 | 2010 | 78 | |
| 13 | 2007 | 77 | |
| 14 | 2006 | 72 | |
| 15 | 2009 | 71 | |
| 16 | 1997 | 68 | |
| 17 | 2004 | 68 | |
| 18 | 2013 | 67 | |
| 19 | 2007 | 64 | |
| 20 | 2015 | 64 |
About Naoaki Yokoyama
Naoaki Yokoyama is a scholar working on Parasitology, Ecology, Evolution, Behavior and Systematics, Infectious Diseases, Plant Science and Insect Science, having authored 327 papers that have together received 7.4k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (204 papers), Vector-Borne Animal Diseases (94 papers), Viral Infections and Vectors (71 papers), Insect and Pesticide Research (48 papers), Insect Pest Control Strategies (44 papers), Toxin Mechanisms and Immunotoxins (33 papers), Herpesvirus Infections and Treatments (32 papers) and Toxoplasma gondii Research Studies (24 papers). The work is most often cited by research in Parasitology (5.0k citations), Infectious Diseases (2.2k citations), Ecology, Evolution, Behavior and Systematics (2.4k citations), Insect Science (1.2k citations) and Immunology (888 citations). Naoaki Yokoyama has collaborated with scholars based in Japan, Egypt and Mongolia. Frequent co-authors include Ikuo Igarashi, Thillaiampalam Sivakumar, Xuenan Xuan, Mahmoud AbouLaila, Hisashi INOKUMA, Noboru Inoue, Chihiro Sugimoto, Kotaro Matsumoto, Kozo Fujisaki and Andy Alhassan. Their work appears in journals such as Veterinary Parasitology, Experimental Parasitology, Parasitology Research, Parasitology and Infection Genetics and Evolution.
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.