Earl M. Ritzi
- Co-authors
- William A. StylosS. SpiegelmanRobert L. StolfiArnold J. LevineDaniel MartínRobert C. SawyerR. NayakAlberto Baldi
- Topics
- Virus-based gene therapy research (11 papers)Immunotherapy and Immune Responses (6 papers)Monoclonal and Polyclonal Antibodies Research (6 papers)
- Cited by
- OncologyGeneticsPharmacology
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Experimental MedicineJNCI Journal of the National Cancer Institute
- Partner nations
- United States
In The Last Decade
Earl M. Ritzi
24 papers receiving 334 citations
Peers
Comparison fields: 5 of 61
- Molecular Biology 151
- Oncology 147
- Genetics 139
- Pharmacology 74
- Immunology 71
Countries citing papers authored by Earl M. Ritzi
This map shows the geographic impact of Earl M. Ritzi'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 Earl M. Ritzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Earl M. Ritzi more than expected).
Fields of papers citing papers by Earl M. Ritzi
This network shows the impact of papers produced by Earl M. Ritzi. 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 Earl M. Ritzi. The network helps show where Earl M. Ritzi may publish in the future.
Co-authorship network of co-authors of Earl M. Ritzi
This figure shows the co-authorship network connecting the top 25 collaborators of Earl M. Ritzi. A scholar is included among the top collaborators of Earl M. Ritzi 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 Earl M. Ritzi. Earl M. Ritzi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | Plasma levels of a viral protein during adjuvant treatment: reflection of murine mammary tumor status and therapeutic effect. | 3 |
| 8 | Therapeutic effect reflected by plasma levels of a viral protein during combination chemotherapeutic treatment of mammary tumor-bearing mice. | 5 |
| 9 | Quantitation of viral antigens released into plasma and culture fluids by murine mammary tumor cells. | 2 |
| 10 | 4 | |
| 11 | 104 | |
| 12 | 11 | |
| 13 | 24 | |
| 14 | 11 | |
| 15 | 37 | |
| 16 | 31 | |
| 17 | 4 | |
| 18 | 37 | |
| 19 | 16 | |
| 20 | 60 |
About Earl M. Ritzi
Earl M. Ritzi is a scholar working on Genetics, Animal Science and Zoology and Immunology, having authored 24 papers that have together received 421 indexed citations. Recurring topics across this work include Virus-based gene therapy research (11 papers), Immunotherapy and Immune Responses (6 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). The work is most often cited by research in Oncology (147 citations), Genetics (139 citations) and Pharmacology (74 citations). Earl M. Ritzi has collaborated with scholars based in United States. Frequent co-authors include William A. Stylos, S. Spiegelman, Robert L. Stolfi, Arnold J. Levine, Daniel Martín, Robert C. Sawyer, R. Nayak, Alberto Baldi, R. C. Skarnes and Sumner Burstein. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and JNCI Journal of the National Cancer Institute.
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.