Sergey A. Kaliberov
- Molecular Biology
- Oncology top 10%
- Immunology top 10%
- Genetics top 10%
- Cancer Research
- Co-authors
- Lyudmila N. KaliberovaDavid T. CurielSergei KusmartsevVictor PrimaDonald J. BuchsbaumValentina KrendelchtchikovaCecil R. StockardWilliam E. Grizzle
- Topics
- Virus-based gene therapy research (18 papers)Cancer Research and Treatments (9 papers)CAR-T cell therapy research (8 papers)
- Cited by
- ImmunologyBiotechnologyOncology
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
Sergey A. Kaliberov
24 papers receiving 816 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Molecular Biology 368
- Oncology 304
- Immunology 273
- Genetics 213
- Cancer Research 123
Countries citing papers authored by Sergey A. Kaliberov
This map shows the geographic impact of Sergey A. Kaliberov'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 Sergey A. Kaliberov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergey A. Kaliberov more than expected).
Fields of papers citing papers by Sergey A. Kaliberov
This network shows the impact of papers produced by Sergey A. Kaliberov. 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 Sergey A. Kaliberov. The network helps show where Sergey A. Kaliberov may publish in the future.
Co-authorship network of co-authors of Sergey A. Kaliberov
This figure shows the co-authorship network connecting the top 25 collaborators of Sergey A. Kaliberov. A scholar is included among the top collaborators of Sergey A. Kaliberov 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 Sergey A. Kaliberov. Sergey A. Kaliberov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | COX2/mPGES1/PGE 2 pathway regulates PD-L1 expression in tumor-associated macrophages and myeloid-derived suppressor cellsbreakdown → | 374 |
| 2 | 30 | |
| 3 | 46 | |
| 4 | 13 | |
| 5 | 18 | |
| 6 | 18 | |
| 7 | 4 | |
| 8 | 13 | |
| 9 | 20 | |
| 10 | 61 | |
| 11 | 26 | |
| 12 | 26 | |
| 13 | 26 | |
| 14 | 21 | |
| 15 | 4 | |
| 16 | 21 | |
| 17 | 19 | |
| 18 | 13 | |
| 19 | 27 | |
| 20 | [The immunity indices in the infection of mice of different strains with the Machupo virus]. | 1 |
About Sergey A. Kaliberov
Sergey A. Kaliberov is a scholar working on Biotechnology, Genetics and Oncology, having authored 25 papers that have together received 825 indexed citations. Recurring topics across this work include Virus-based gene therapy research (18 papers), Cancer Research and Treatments (9 papers) and CAR-T cell therapy research (8 papers). The work is most often cited by research in Immunology (273 citations), Biotechnology (97 citations) and Oncology (304 citations). Sergey A. Kaliberov has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Lyudmila N. Kaliberova, David T. Curiel, Sergei Kusmartsev, Victor Prima, Donald J. Buchsbaum, Valentina Krendelchtchikova, Cecil R. Stockard, William E. Grizzle, Jeffrey M. Arbeit and G. Yancey Gillespie. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Virology.
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.