Atsuko Wakikawa
About
In The Last Decade
Atsuko Wakikawa
8 papers receiving 529 citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 231
- Clinical Biochemistry 183
- Immunology 143
- Cancer Research 78
- Oncology 66
Countries citing papers authored by Atsuko Wakikawa
This map shows the geographic impact of Atsuko Wakikawa'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 Atsuko Wakikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsuko Wakikawa more than expected).
Fields of papers citing papers by Atsuko Wakikawa
This network shows the impact of papers produced by Atsuko Wakikawa. 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 Atsuko Wakikawa. The network helps show where Atsuko Wakikawa may publish in the future.
Co-authorship network of co-authors of Atsuko Wakikawa
This figure shows the co-authorship network connecting the top 25 collaborators of Atsuko Wakikawa. A scholar is included among the top collaborators of Atsuko Wakikawa 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 Atsuko Wakikawa. Atsuko Wakikawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 285 | |
| 2 | 43 | |
| 3 | 29 | |
| 4 | 23 | |
| 5 | 29 | |
| 6 | 45 | |
| 7 | 48 | |
| 8 | 36 |
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.