Rena Morita
About
In The Last Decade
Rena Morita
35 papers receiving 934 citations
Peers
Comparison fields: 5 of 77
- Oncology 577
- Molecular Biology 429
- Immunology 303
- Cancer Research 178
- Biotechnology 77
Countries citing papers authored by Rena Morita
This map shows the geographic impact of Rena Morita'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 Rena Morita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rena Morita more than expected).
Fields of papers citing papers by Rena Morita
This network shows the impact of papers produced by Rena Morita. 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 Rena Morita. The network helps show where Rena Morita may publish in the future.
Co-authorship network of co-authors of Rena Morita
This figure shows the co-authorship network connecting the top 25 collaborators of Rena Morita. A scholar is included among the top collaborators of Rena Morita 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 Rena Morita. Rena Morita 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 | 3 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 14 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 9 | |
| 9 | 8 | |
| 10 | 10 | |
| 11 | 89 | |
| 12 | 59 | |
| 13 | 101 | |
| 14 | 27 | |
| 15 | 109 | |
| 16 | 97 | |
| 17 | 39 | |
| 18 | [Hypogammaglobulinemia with a clinical course similar to that of drug-induced hypersensitivity syndrome]. | 1 |
| 19 | 35 | |
| 20 | 38 |
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.