Asako Koike
Impact in
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- Genetic Associations and Epidemiology
- Ophthalmology top 10%
- Retinal Diseases and Treatments
Papers in
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- Bioinformatics and Genomic Networks 10
- Biomedical Text Mining and Ontologies 6
- Genomics and Phylogenetic Studies 5
- Machine Learning in Bioinformatics 4
- Genetics 11
- Genetic Associations and Epidemiology 5
- Co-authors
- Toshihisa Takagi (11 shared papers)Makiko Yoshida (2 shared papers)Nao Nishida (8 shared papers)Katsushi Tokunaga (7 shared papers)Makoto Yoneya (2 shared papers)Yoshiki Niwa (1 shared paper)Yoshiyuki Kobayashi (1 shared paper)Kouichi Kimura (1 shared paper)
- Journals
- Proceedings Genome Informatics Workshop/Genome informatics (3 papers)Alzheimer s & Dementia (2 papers)Bioinformatics (2 papers)BMC Bioinformatics (2 papers)The Journal of Physical Chemistry B (2 papers)
- Partner nations
- JapanSouth KoreaUnited States
In The Last Decade
Asako Koike
34 papers receiving 541 citations
Peers
Comparison fields: 5 of 97
- Genetics 135
- Ophthalmology 41
- Molecular Biology 310
- Cancer Research 52
- Artificial Intelligence 98
Countries citing papers authored by Asako Koike
This map shows the geographic impact of Asako Koike'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 Asako Koike with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asako Koike more than expected).
Fields of papers citing papers by Asako Koike
This network shows the impact of papers produced by Asako Koike. 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 Asako Koike. The network helps show where Asako Koike may publish in the future.
Co-authors
The 25 scholars most cited alongside Asako Koike, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 67 | |
| 2 | 2004 | 55 | |
| 3 | 2003 | 49 | |
| 4 | 2008 | 46 | |
| 5 | 2011 | 45 | |
| 6 | 1998 | 35 | |
| 7 | 2008 | 30 | |
| 8 | 1994 | 30 | |
| 9 | Gene/Protein/Family Name Recognition in Biomedical Literature | 2004 | 26 |
| 10 | 2010 | 26 | |
| 11 | 2015 | 26 | |
| 12 | 2006 | 22 | |
| 13 | 2009 | 19 | |
| 14 | 1999 | 18 | |
| 15 | 2011 | 16 | |
| 16 | PRIME: automatically extracted PRotein Interactions and Molecular Information databasE. | 2005 | 9 |
| 17 | 2015 | 8 | |
| 18 | 2009 | 5 | |
| 19 | 1998 | 5 | |
| 20 | 2003 | 4 |
About Asako Koike
Asako Koike is a scholar working on Molecular Biology, Genetics, Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics, having authored 34 papers that have together received 567 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (10 papers), Biomedical Text Mining and Ontologies (6 papers), Genomics and Phylogenetic Studies (5 papers), Genetic Associations and Epidemiology (5 papers), Algorithms and Data Compression (5 papers), Machine Learning in Bioinformatics (4 papers), Computational Drug Discovery Methods (3 papers) and Force Microscopy Techniques and Applications (3 papers). The work is most often cited by research in Genetics (135 citations), Ophthalmology (41 citations), Molecular Biology (310 citations), Cancer Research (52 citations) and Artificial Intelligence (98 citations). Asako Koike has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Toshihisa Takagi, Makiko Yoshida, Nao Nishida, Katsushi Tokunaga, Makoto Yoneya, Yoshiki Niwa, Yoshiyuki Kobayashi, Kouichi Kimura, Ituro Inoue and Shoji Tsuji. Their work appears in journals such as Proceedings Genome Informatics Workshop/Genome informatics, Alzheimer s & Dementia, Bioinformatics, BMC Bioinformatics and The Journal of Physical Chemistry 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.