David T. Curiel
- Molecular Biology top 0.1%
- Genetics top 0.01%
- Oncology top 0.05%
- Immunology top 0.5%
- Biotechnology top 0.02%
- Co-authors
- Victor KrasnykhIgor P. DmitrievRamón AlemanyJoanne T. DouglasGalina MikheevaRonald D. AlvarezGene P. SiegalMinghui Wang
- Topics
- Virus-based gene therapy research (454 papers)CAR-T cell therapy research (226 papers)Viral Infectious Diseases and Gene Expression in Insects (176 papers)
- Cited by
- GeneticsOncologyBiotechnology
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesFranceNetherlands
In The Last Decade
David T. Curiel
589 papers receiving 27.9k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Molecular Biology 17.8k
- Genetics 17.4k
- Oncology 11.0k
- Immunology 4.3k
- Biotechnology 3.2k
Countries citing papers authored by David T. Curiel
This map shows the geographic impact of David T. Curiel'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 David T. Curiel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Curiel more than expected).
Fields of papers citing papers by David T. Curiel
This network shows the impact of papers produced by David T. Curiel. 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 David T. Curiel. The network helps show where David T. Curiel may publish in the future.
Co-authorship network of co-authors of David T. Curiel
This figure shows the co-authorship network connecting the top 25 collaborators of David T. Curiel. A scholar is included among the top collaborators of David T. Curiel 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 David T. Curiel. David T. Curiel 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 | 7 | |
| 3 | 52 | |
| 4 | COX2/mPGES1/PGE 2 pathway regulates PD-L1 expression in tumor-associated macrophages and myeloid-derived suppressor cellsbreakdown → | 374 |
| 5 | 17 | |
| 6 | 9 | |
| 7 | 49 | |
| 8 | 26 | |
| 9 | 101 | |
| 10 | 102 | |
| 11 | 89 | |
| 12 | 65 | |
| 13 | 22 | |
| 14 | 40 | |
| 15 | 101 | |
| 16 | 41 | |
| 17 | 33 | |
| 18 | 46 | |
| 19 | 11 | |
| 20 | 1 |
About David T. Curiel
David T. Curiel is a scholar working on Genetics, Oncology and Biotechnology, having authored 595 papers that have together received 28.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (454 papers), CAR-T cell therapy research (226 papers) and Viral Infectious Diseases and Gene Expression in Insects (176 papers). The work is most often cited by research in Genetics (17.4k citations), Oncology (11.0k citations) and Biotechnology (3.2k citations). David T. Curiel has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Victor Krasnykh, Igor P. Dmitriev, Ramón Alemany, Joanne T. Douglas, Galina Mikheeva, Ronald D. Alvarez, Gene P. Siegal, Minghui Wang, Elena A. Kashentseva and Masato Yamamoto. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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.