Igor P. Dmitriev
- Genetics top 0.2%
- Molecular Biology top 2%
- Oncology top 1%
- Infectious Diseases top 2%
- Biotechnology top 1%
- Co-authors
- David T. CurielElena A. KashentsevaVictor KrasnykhGalina MikheevaC. Ryan MillerН. В. БелоусоваMinghui WangToshiro Seki
- Topics
- Virus-based gene therapy research (66 papers)CAR-T cell therapy research (37 papers)Viral Infectious Diseases and Gene Expression in Insects (32 papers)
- Cited by
- GeneticsOncologyBiotechnology
- Partner nations
- United StatesNetherlandsFrance
In The Last Decade
Igor P. Dmitriev
82 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Genetics 3.2k
- Molecular Biology 2.7k
- Oncology 1.9k
- Infectious Diseases 637
- Biotechnology 438
Countries citing papers authored by Igor P. Dmitriev
This map shows the geographic impact of Igor P. Dmitriev'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 Igor P. Dmitriev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor P. Dmitriev more than expected).
Fields of papers citing papers by Igor P. Dmitriev
This network shows the impact of papers produced by Igor P. Dmitriev. 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 Igor P. Dmitriev. The network helps show where Igor P. Dmitriev may publish in the future.
Co-authorship network of co-authors of Igor P. Dmitriev
This figure shows the co-authorship network connecting the top 25 collaborators of Igor P. Dmitriev. A scholar is included among the top collaborators of Igor P. Dmitriev 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 Igor P. Dmitriev. Igor P. Dmitriev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 86 | |
| 6 | 30 | |
| 7 | 8 | |
| 8 | 17 | |
| 9 | 11 | |
| 10 | 49 | |
| 11 | 3 | |
| 12 | 101 | |
| 13 | 65 | |
| 14 | 25 | |
| 15 | 42 | |
| 16 | 91 | |
| 17 | 14 | |
| 18 | A platform for constucting infectivity-enhanced fiber-mosaic adenoviruses genetically modified to express two fiber types | 6 |
| 19 | 59 | |
| 20 | Adenovirus targeting to c-erbB-2 oncoprotein by single-chain antibody fused to trimeric form of adenovirus receptor ectodomain. | 76 |
About Igor P. Dmitriev
Igor P. Dmitriev is a scholar working on Genetics, Oncology and Infectious Diseases, having authored 83 papers that have together received 4.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (66 papers), CAR-T cell therapy research (37 papers) and Viral Infectious Diseases and Gene Expression in Insects (32 papers). The work is most often cited by research in Genetics (3.2k citations), Oncology (1.9k citations) and Biotechnology (438 citations). Igor P. Dmitriev has collaborated with scholars based in United States, Netherlands and France. Frequent co-authors include David T. Curiel, Elena A. Kashentseva, Victor Krasnykh, Galina Mikheeva, C. Ryan Miller, Н. В. Белоусова, Minghui Wang, Toshiro Seki, D T Curiel and Paul N. Reynolds. Their work appears in journals such as Proceedings of the National Academy of Sciences, ACS Nano and Nature Biotechnology.
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.