Aizen J. Marrogi
- Oncology top 2%
- Molecular Biology top 10%
- Genetics top 2%
- Surgery top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Sara M. FreemanKangmin ZhuRajagopal RameshLindsey EnewoldGeorge E. PeoplesAlexander StojadinovicSusan S. DevesaElaine Ron
- Topics
- Virus-based gene therapy research (15 papers)Cancer Research and Treatments (7 papers)CAR-T cell therapy research (6 papers)
- Partner nations
- United StatesEgyptCambodia
In The Last Decade
Aizen J. Marrogi
63 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Oncology 1.2k
- Molecular Biology 1.1k
- Genetics 1.0k
- Surgery 549
- Endocrinology, Diabetes and Metabolism 544
Countries citing papers authored by Aizen J. Marrogi
This map shows the geographic impact of Aizen J. Marrogi'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 Aizen J. Marrogi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aizen J. Marrogi more than expected).
Fields of papers citing papers by Aizen J. Marrogi
This network shows the impact of papers produced by Aizen J. Marrogi. 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 Aizen J. Marrogi. The network helps show where Aizen J. Marrogi may publish in the future.
Co-authorship network of co-authors of Aizen J. Marrogi
This figure shows the co-authorship network connecting the top 25 collaborators of Aizen J. Marrogi. A scholar is included among the top collaborators of Aizen J. Marrogi 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 Aizen J. Marrogi. Aizen J. Marrogi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 50 | |
| 2 | 9 | |
| 3 | Rising Thyroid Cancer Incidence in the United States by Demographic and Tumor Characteristics, 1980-2005breakdown → | 635 |
| 4 | 19 | |
| 5 | Nitric oxide synthase, cyclooxygenase 2, and vascular endothelial growth factor in the angiogenesis of non-small cell lung carcinoma. | 184 |
| 6 | 31 | |
| 7 | 6 | |
| 8 | 195 | |
| 9 | 117 | |
| 10 | Enhanced tumor recognition and killing using the HSV-TK suicide gene | 4 |
| 11 | 4 | |
| 12 | 16 | |
| 13 | 41 | |
| 14 | 5 | |
| 15 | 66 | |
| 16 | 13 | |
| 17 | 71 | |
| 18 | 76 | |
| 19 | 13 | |
| 20 | 48 |
About Aizen J. Marrogi
Aizen J. Marrogi is a scholar working on Oncology, Biotechnology and Genetics, having authored 63 papers that have together received 3.7k indexed citations. Recurring topics across this work include Virus-based gene therapy research (15 papers), Cancer Research and Treatments (7 papers) and CAR-T cell therapy research (6 papers). The work is most often cited by research in Oncology (1.2k citations), Genetics (1.0k citations) and Endocrinology, Diabetes and Metabolism (544 citations). Aizen J. Marrogi has collaborated with scholars based in United States, Egypt and Cambodia. Frequent co-authors include Sara M. Freeman, Kangmin Zhu, Rajagopal Ramesh, Lindsey Enewold, George E. Peoples, Alexander Stojadinovic, Susan S. Devesa, Elaine Ron, Curtis C. Harris and Anupama Munshi. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.
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.