Seiko Fujii
About
In The Last Decade
Seiko Fujii
3 papers receiving 514 citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Organic Chemistry 318
- Molecular Biology 138
- Biomedical Engineering 138
- Materials Chemistry 101
- Computational Theory and Mathematics 44
Countries citing papers authored by Seiko Fujii
This map shows the geographic impact of Seiko Fujii'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 Seiko Fujii with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seiko Fujii more than expected).
Fields of papers citing papers by Seiko Fujii
This network shows the impact of papers produced by Seiko Fujii. 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 Seiko Fujii. The network helps show where Seiko Fujii may publish in the future.
Co-authorship network of co-authors of Seiko Fujii
This figure shows the co-authorship network connecting the top 25 collaborators of Seiko Fujii. A scholar is included among the top collaborators of Seiko Fujii 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 Seiko Fujii. Seiko Fujii is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Synthesis of many different types of organic small molecules using one automated process breakdown → | 424 |
| 2 | 77 | |
| 3 | 27 |
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.