Cathy A. Ferrera
About
In The Last Decade
Cathy A. Ferrera
2 papers receiving 335 citations
Peers
Comparison fields: 5 of 34
- Immunology 276
- Molecular Biology 201
- Oncology 154
- Pulmonary and Respiratory Medicine 33
- Genetics 22
Countries citing papers authored by Cathy A. Ferrera
This map shows the geographic impact of Cathy A. Ferrera'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 Cathy A. Ferrera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cathy A. Ferrera more than expected).
Fields of papers citing papers by Cathy A. Ferrera
This network shows the impact of papers produced by Cathy A. Ferrera. 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 Cathy A. Ferrera. The network helps show where Cathy A. Ferrera may publish in the future.
Co-authorship network of co-authors of Cathy A. Ferrera
This figure shows the co-authorship network connecting the top 25 collaborators of Cathy A. Ferrera. A scholar is included among the top collaborators of Cathy A. Ferrera 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 Cathy A. Ferrera. Cathy A. Ferrera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Physical interaction of two cancer-testis antigens, MAGE-C1 (CT7) and NY-ESO-1 (CT6). | 44 |
| 2 | 294 |
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.