Hiroko Koike-Yusa
About
In The Last Decade
Hiroko Koike-Yusa
5 papers receiving 985 citations
Hit Papers
Peers
Comparison fields: 5 of 64
- Molecular Biology 929
- Genetics 163
- Cancer Research 121
- Oncology 86
- Aging 59
Countries citing papers authored by Hiroko Koike-Yusa
This map shows the geographic impact of Hiroko Koike-Yusa'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 Hiroko Koike-Yusa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroko Koike-Yusa more than expected).
Fields of papers citing papers by Hiroko Koike-Yusa
This network shows the impact of papers produced by Hiroko Koike-Yusa. 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 Hiroko Koike-Yusa. The network helps show where Hiroko Koike-Yusa may publish in the future.
Co-authorship network of co-authors of Hiroko Koike-Yusa
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroko Koike-Yusa. A scholar is included among the top collaborators of Hiroko Koike-Yusa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hiroko Koike-Yusa. Hiroko Koike-Yusa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 57 | |
| 2 | 28 | |
| 3 | 78 | |
| 4 | Genome-wide recessive genetic screening in mammalian cells with a lentiviral CRISPR-guide RNA library breakdown → | 766 |
| 5 | 71 |
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.