Dell Paielli
- Molecular Biology top 10%
- Genetics top 1%
- Oncology top 5%
- Biotechnology top 1%
- Epidemiology
- Co-authors
- Svend O. FreytagJeff D. GilbertKenneth RogulskiJae Ho KimMei LüJames O. PeabodyJan PeggHans Stricker
- Topics
- Virus-based gene therapy research (9 papers)CAR-T cell therapy research (7 papers)Cancer Research and Treatments (5 papers)
- Cited by
- GeneticsBiotechnologyOncology
- Journals
- Journal of Biological ChemistryGenes & DevelopmentInternational Journal of Radiation Oncology*Biology*Physics
- Partner nations
- United StatesPolandUnited Kingdom
In The Last Decade
Dell Paielli
13 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 1.2k
- Genetics 1.2k
- Oncology 744
- Biotechnology 349
- Epidemiology 229
Countries citing papers authored by Dell Paielli
This map shows the geographic impact of Dell Paielli'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 Dell Paielli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dell Paielli more than expected).
Fields of papers citing papers by Dell Paielli
This network shows the impact of papers produced by Dell Paielli. 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 Dell Paielli. The network helps show where Dell Paielli may publish in the future.
Co-authorship network of co-authors of Dell Paielli
This figure shows the co-authorship network connecting the top 25 collaborators of Dell Paielli. A scholar is included among the top collaborators of Dell Paielli 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 Dell Paielli. Dell Paielli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 80 | |
| 2 | 78 | |
| 3 | Phase I study of replication-competent adenovirus-mediated double-suicide gene therapy in combination with conventional-dose three-dimensional conformal radiation therapy for the treatment of newly diagnosed, intermediate- to high-risk prostate cancer. | 213 |
| 4 | 63 | |
| 5 | Phase I study of replication-competent adenovirus-mediated double suicide gene therapy for the treatment of locally recurrent prostate cancer. | 246 |
| 6 | 141 | |
| 7 | 71 | |
| 8 | In vivo antitumor activity of ONYX-015 is influenced by p53 status and is augmented by radiotherapy. | 141 |
| 9 | 275 | |
| 10 | 24 | |
| 11 | 392 | |
| 12 | 78 | |
| 13 | 8 |
About Dell Paielli
Dell Paielli is a scholar working on Biotechnology, Genetics and Oncology, having authored 13 papers that have together received 1.8k indexed citations. Recurring topics across this work include Virus-based gene therapy research (9 papers), CAR-T cell therapy research (7 papers) and Cancer Research and Treatments (5 papers). The work is most often cited by research in Genetics (1.2k citations), Biotechnology (349 citations) and Oncology (744 citations). Dell Paielli has collaborated with scholars based in United States, Poland and United Kingdom. Frequent co-authors include Svend O. Freytag, Jeff D. Gilbert, Kenneth Rogulski, Jae Ho Kim, Mei Lü, James O. Peabody, Jan Pegg, Hans Stricker, Stephen L. Brown and Mariza DePeralta-Venturina. Their work appears in journals such as Journal of Biological Chemistry, Genes & Development and International Journal of Radiation Oncology*Biology*Physics.
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.