Kengo Kuroda
Impact in
- Microbiology top 2%
- Antimicrobial Peptides and Activities
Papers in
-
- Pluripotent Stem Cells Research 4
- Protein Hydrolysis and Bioactive Peptides 4
- CRISPR and Genetic Engineering 4
- Phytochemical compounds biological activities 2
- Biochemical and Structural Characterization 2
-
- Antimicrobial Peptides and Activities 9
- Co-authors
- Emiko Isogai (17 shared papers)Hiroshi Isogai (7 shared papers)Kazuhiko Okumura (5 shared papers)Tomokazu Fukuda (15 shared papers)Marija Krstic–Demonacos (3 shared papers)Tohru Kiyono (5 shared papers)Hiroshi Yoneyama (7 shared papers)Takahiro Eitsuka (3 shared papers)
- Journals
- Animal Science Journal (3 papers)Frontiers in Veterinary Science (1 paper)EXPERIMENTAL ANIMALS (1 paper)Journal of Biotechnology (1 paper)PLoS ONE (1 paper)
- Partner nations
- JapanUnited KingdomChina
In The Last Decade
Kengo Kuroda
21 papers receiving 507 citations
Peers
Comparison fields: 5 of 78
- Microbiology 222
- Aging 8
- Immunology 88
- Molecular Biology 295
- Parasitology 22
Countries citing papers authored by Kengo Kuroda
This map shows the geographic impact of Kengo Kuroda'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 Kengo Kuroda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kengo Kuroda more than expected).
Fields of papers citing papers by Kengo Kuroda
This network shows the impact of papers produced by Kengo Kuroda. 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 Kengo Kuroda. The network helps show where Kengo Kuroda may publish in the future.
Co-authors
The 25 scholars most cited alongside Kengo Kuroda, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 130 | |
| 2 | 2015 | 46 | |
| 3 | 2017 | 39 | |
| 4 | 2014 | 38 | |
| 5 | 2012 | 34 | |
| 6 | 2013 | 28 | |
| 7 | 2016 | 26 | |
| 8 | 2014 | 23 | |
| 9 | 2015 | 22 | |
| 10 | 2013 | 18 | |
| 11 | 2013 | 16 | |
| 12 | 2018 | 16 | |
| 13 | 2015 | 14 | |
| 14 | 2016 | 12 | |
| 15 | 2014 | 11 | |
| 16 | 2014 | 10 | |
| 17 | 2019 | 9 | |
| 18 | 2013 | 7 | |
| 19 | 2014 | 6 | |
| 20 | 2019 | 4 |
About Kengo Kuroda
Kengo Kuroda is a scholar working on Molecular Biology, Microbiology, Genetics, Immunology and Small Animals, having authored 21 papers that have together received 512 indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (9 papers), Pluripotent Stem Cells Research (4 papers), Protein Hydrolysis and Bioactive Peptides (4 papers), Immune Response and Inflammation (4 papers), CRISPR and Genetic Engineering (4 papers), Animal Genetics and Reproduction (2 papers), Phytochemical compounds biological activities (2 papers) and Biochemical and Structural Characterization (2 papers). The work is most often cited by research in Microbiology (222 citations), Aging (8 citations), Immunology (88 citations), Molecular Biology (295 citations) and Parasitology (22 citations). Kengo Kuroda has collaborated with scholars based in Japan, United Kingdom and China. Frequent co-authors include Emiko Isogai, Hiroshi Isogai, Kazuhiko Okumura, Tomokazu Fukuda, Marija Krstic–Demonacos, Tohru Kiyono, Hiroshi Yoneyama, Takahiro Eitsuka, Masafumi Katayama and Yijie Guo. Their work appears in journals such as Animal Science Journal, Frontiers in Veterinary Science, EXPERIMENTAL ANIMALS, Journal of Biotechnology and PLoS ONE.
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.