Yoshiki Sumitomo
About
In The Last Decade
Yoshiki Sumitomo
11 papers receiving 447 citations
Peers
Comparison fields: 5 of 54
- Molecular Biology 352
- Cell Biology 111
- Epidemiology 94
- Oncology 79
- Hematology 62
Countries citing papers authored by Yoshiki Sumitomo
This map shows the geographic impact of Yoshiki Sumitomo'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 Yoshiki Sumitomo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoshiki Sumitomo more than expected).
Fields of papers citing papers by Yoshiki Sumitomo
This network shows the impact of papers produced by Yoshiki Sumitomo. 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 Yoshiki Sumitomo. The network helps show where Yoshiki Sumitomo may publish in the future.
Co-authorship network of co-authors of Yoshiki Sumitomo
This figure shows the co-authorship network connecting the top 25 collaborators of Yoshiki Sumitomo. A scholar is included among the top collaborators of Yoshiki Sumitomo 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 Yoshiki Sumitomo. Yoshiki Sumitomo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | An anti-ASCT2 monoclonal antibody suppresses gastric cancer growth by inducing oxidative stress and antibody dependent cellular toxicity in preclinical models. | 35 |
| 6 | 23 | |
| 7 | 65 | |
| 8 | 36 | |
| 9 | 1 | |
| 10 | 123 | |
| 11 | 124 | |
| 12 | 40 |
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.