Jun Wada
Impact in
- Nutrition and Dietetics top 1%
- Infant Nutrition and Health
- Polymers and Plastics top 5%
- Conducting polymers and applications
Papers in
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- Glycosylation and Glycoproteins Research 5
- RNA Interference and Gene Delivery 2
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- Infant Nutrition and Health 7
- Co-authors
- Masaharu Satoh (10 shared papers)Toshio Masuda (9 shared papers)Takane Katayama (11 shared papers)Kenji Yamamoto (10 shared papers)Hidehiko Kumagai (7 shared papers)Hisashi Ashida (9 shared papers)Jinqing Qu (7 shared papers)Masashi Kiyohara (5 shared papers)
In The Last Decade
Jun Wada
25 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 83
- Nutrition and Dietetics 556
- Polymers and Plastics 342
- Biotechnology 177
- Food Science 232
- Organic Chemistry 297
Countries citing papers authored by Jun Wada
This map shows the geographic impact of Jun Wada'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 Jun Wada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Wada more than expected).
Fields of papers citing papers by Jun Wada
This network shows the impact of papers produced by Jun Wada. 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 Jun Wada. The network helps show where Jun Wada may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Wada, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 206 | |
| 2 | 2008 | 197 | |
| 3 | 2008 | 107 | |
| 4 | 2006 | 89 | |
| 5 | 2008 | 88 | |
| 6 | 2008 | 86 | |
| 7 | 2013 | 83 | |
| 8 | 2007 | 74 | |
| 9 | 2007 | 59 | |
| 10 | 2008 | 55 | |
| 11 | 2008 | 54 | |
| 12 | 2007 | 52 | |
| 13 | 2013 | 51 | |
| 14 | 2008 | 48 | |
| 15 | 2007 | 44 | |
| 16 | 2008 | 39 | |
| 17 | 2007 | 37 | |
| 18 | 2010 | 32 | |
| 19 | 2015 | 13 | |
| 20 | 2020 | 13 |
About Jun Wada
Jun Wada is a scholar working on Molecular Biology, Nutrition and Dietetics, Organic Chemistry, Genetics and Biotechnology, having authored 33 papers that have together received 1.5k indexed citations. Recurring topics across this work include Infant Nutrition and Health (7 papers), Glycosylation and Glycoproteins Research (5 papers), Enzyme Production and Characterization (5 papers), Conducting polymers and applications (4 papers), Digestive system and related health (3 papers), RNA Interference and Gene Delivery (2 papers), Synthesis and properties of polymers (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Nutrition and Dietetics (556 citations), Polymers and Plastics (342 citations), Biotechnology (177 citations), Food Science (232 citations) and Organic Chemistry (297 citations). Jun Wada has collaborated with scholars based in Japan, Australia and China. Frequent co-authors include Masaharu Satoh, Toshio Masuda, Takane Katayama, Kenji Yamamoto, Hidehiko Kumagai, Hisashi Ashida, Jinqing Qu, Masashi Kiyohara, Motomitsu Kitaoka and Tōru Katsumata. Their work appears in journals such as Enzyme and Microbial Technology, Journal of Biological Chemistry, Macromolecules, Applied and Environmental Microbiology and Polymer.
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.