Ko Harada
Impact in
- Genetics top 5%
- Genetic diversity and population structure
-
- Plant Diversity and Evolution
- Plant and animal studies
Papers in
-
- Plant and Fungal Species Descriptions 16
- Genomics and Phylogenetic Studies 15
- Yeasts and Rust Fungi Studies 7
- Genetics 32
- Genetic diversity and population structure 21
- Co-authors
- Koichi Kamiya (22 shared papers)Terumi Mukai (12 shared papers)Nguyen Duc Quang (3 shared papers)Kenji Yukuhiro (2 shared papers)Fumio Otsuka (28 shared papers)Hidenori Tachida (5 shared papers)E.G. Buss (3 shared papers)Gretel Geada López (3 shared papers)
- Journals
- Genes & Genetic Systems (6 papers)Heredity (4 papers)QJM (4 papers)Genetics (3 papers)Proceedings of the Japan Academy Series B (3 papers)
- Partner nations
- JapanUnited StatesMalaysia
In The Last Decade
Ko Harada
103 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 119
- Genetics 469
- Ecology, Evolution, Behavior and Systematics 250
- Plant Science 338
- Molecular Biology 552
- Forestry 32
Countries citing papers authored by Ko Harada
This map shows the geographic impact of Ko Harada'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 Ko Harada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ko Harada more than expected).
Fields of papers citing papers by Ko Harada
This network shows the impact of papers produced by Ko Harada. 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 Ko Harada. The network helps show where Ko Harada may publish in the future.
Co-authors
The 25 scholars most cited alongside Ko Harada, 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 111 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 96 | |
| 2 | 2007 | 82 | |
| 3 | 1990 | 70 | |
| 4 | 2005 | 48 | |
| 5 | 2002 | 46 | |
| 6 | 2003 | 37 | |
| 7 | 2010 | 35 | |
| 8 | 2008 | 34 | |
| 9 | 2013 | 33 | |
| 10 | 2000 | 33 | |
| 11 | 2014 | 29 | |
| 12 | 1995 | 26 | |
| 13 | 1985 | 26 | |
| 14 | 2004 | 24 | |
| 15 | 1998 | 23 | |
| 16 | 2011 | 22 | |
| 17 | 1981 | 20 | |
| 18 | 1984 | 20 | |
| 19 | 2022 | 19 | |
| 20 | 2002 | 19 |
About Ko Harada
Ko Harada is a scholar working on Molecular Biology, Genetics, Plant Science, Surgery and Ecology, Evolution, Behavior and Systematics, having authored 111 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic diversity and population structure (21 papers), Plant and Fungal Species Descriptions (16 papers), Genomics and Phylogenetic Studies (15 papers), Plant Diversity and Evolution (11 papers), Chromosomal and Genetic Variations (8 papers), Plant Pathogens and Fungal Diseases (8 papers), Yeasts and Rust Fungi Studies (7 papers) and Adrenal and Paraganglionic Tumors (4 papers). The work is most often cited by research in Genetics (469 citations), Ecology, Evolution, Behavior and Systematics (250 citations), Plant Science (338 citations), Molecular Biology (552 citations) and Forestry (32 citations). Ko Harada has collaborated with scholars based in Japan, United States and Malaysia. Frequent co-authors include Koichi Kamiya, Terumi Mukai, Nguyen Duc Quang, Kenji Yukuhiro, Fumio Otsuka, Hidenori Tachida, E.G. Buss, Gretel Geada López, Tsuneyuki Yamazaki and Hideharu Hagiya. Their work appears in journals such as Genes & Genetic Systems, Heredity, QJM, Genetics and Proceedings of the Japan Academy Series B.
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.