Haruka Sudo
About
In The Last Decade
Haruka Sudo
23 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Molecular Biology 697
- Rheumatology 456
- Physiology 440
- Cellular and Molecular Neuroscience 241
- Cell Biology 156
Countries citing papers authored by Haruka Sudo
This map shows the geographic impact of Haruka Sudo'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 Haruka Sudo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haruka Sudo more than expected).
Fields of papers citing papers by Haruka Sudo
This network shows the impact of papers produced by Haruka Sudo. 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 Haruka Sudo. The network helps show where Haruka Sudo may publish in the future.
Co-authorship network of co-authors of Haruka Sudo
This figure shows the co-authorship network connecting the top 25 collaborators of Haruka Sudo. A scholar is included among the top collaborators of Haruka Sudo 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 Haruka Sudo. Haruka Sudo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 14 | |
| 3 | 6 | |
| 4 | 6 | |
| 5 | 16 | |
| 6 | 5 | |
| 7 | 21 | |
| 8 | 7 | |
| 9 | 23 | |
| 10 | 15 | |
| 11 | 138 | |
| 12 | 5 | |
| 13 | 27 | |
| 14 | 37 | |
| 15 | 8 | |
| 16 | 13 | |
| 17 | 24 | |
| 18 | 32 | |
| 19 | 176 | |
| 20 | 56 |
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.