David T. Curiel

39.2k citations
595 papers · 28.6k indexed · 5 hit papers · h-index 86
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)

In The Last Decade

David T. Curiel

589 papers receiving 27.9k citations

Hit Papers

An Adenovirus Vector with Genetically Modified Fibers Dem...199820262007201619982007200120172021200400600

Peers

David T. Curiel
Comparison fields: 5 of 146
  • Molecular Biology 17.8k
  • Genetics 17.4k
  • Oncology 11.0k
  • Immunology 4.3k
  • Biotechnology 3.2k
Replace John C. Bell with:
John C. Bell Canada
Frank L. Graham Canada
Richard G. Vile United States
Mark A. Kay United States
Arnold Berk United States
Jeffrey Schlom United States
Leonard D. Shultz United States
Eli Gilboa United States
Peter M. Howley United States
Steven Μ. Albelda United States
David T. Curiel relative to John C. Bell Canada John C. Bell's profile →
Citations per field
00.5×1.7×
John C. Bell · 1×
Citations per year

Countries citing papers authored by David T. Curiel

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
#WorkIndexed 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026