Yevgeny Brudno
- Molecular Biology top 1%
- Genetics top 2%
- Biomedical Engineering top 5%
- Cancer Research top 5%
- Pediatrics, Perinatology and Child Health top 2%
- Co-authors
- David R. LiuWilliam A. PastorAnjana RaoMamta TahilianiSuneet AgarwalL. AravindHozefa S. BandukwalaLakshminarayan M. Iyer
- Topics
- Virus-based gene therapy research (8 papers)CAR-T cell therapy research (8 papers)RNA Interference and Gene Delivery (7 papers)
- Partner nations
- United StatesIrelandSingapore
In The Last Decade
Yevgeny Brudno
31 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Molecular Biology 5.1k
- Genetics 1.0k
- Biomedical Engineering 526
- Cancer Research 461
- Pediatrics, Perinatology and Child Health 423
Countries citing papers authored by Yevgeny Brudno
This map shows the geographic impact of Yevgeny Brudno'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 Yevgeny Brudno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yevgeny Brudno more than expected).
Fields of papers citing papers by Yevgeny Brudno
This network shows the impact of papers produced by Yevgeny Brudno. 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 Yevgeny Brudno. The network helps show where Yevgeny Brudno may publish in the future.
Co-authorship network of co-authors of Yevgeny Brudno
This figure shows the co-authorship network connecting the top 25 collaborators of Yevgeny Brudno. A scholar is included among the top collaborators of Yevgeny Brudno 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 Yevgeny Brudno. Yevgeny Brudno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 14 | |
| 5 | 3 | |
| 6 | 8 | |
| 7 | Bioinstructive implantable scaffolds for rapid in vivo manufacture and release of CAR-T cellsbreakdown → | 138 |
| 8 | 6 | |
| 9 | 8 | |
| 10 | 37 | |
| 11 | 47 | |
| 12 | 119 | |
| 13 | 72 | |
| 14 | 78 | |
| 15 | 78 | |
| 16 | 25 | |
| 17 | 153 | |
| 18 | Conversion of 5-Methylcytosine to 5-Hydroxymethylcytosine in Mammalian DNA by MLL Partner TET1breakdown → | 4364 |
| 19 | 83 | |
| 20 | 73 |
About Yevgeny Brudno
Yevgeny Brudno is a scholar working on Molecular Medicine, Biomaterials and Genetics, having authored 36 papers that have together received 6.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), CAR-T cell therapy research (8 papers) and RNA Interference and Gene Delivery (7 papers). The work is most often cited by research in Molecular Biology (5.1k citations), Genetics (1.0k citations) and Biomaterials (411 citations). Yevgeny Brudno has collaborated with scholars based in United States, Ireland and Singapore. Frequent co-authors include David R. Liu, William A. Pastor, Anjana Rao, Mamta Tahiliani, Suneet Agarwal, L. Aravind, Hozefa S. Bandukwala, Lakshminarayan M. Iyer, Kian Peng Koh and Yinghua Shen. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.