A J Berk
Impact in
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Interference and Gene Delivery
- CRISPR and Genetic Engineering
- Viral Infectious Diseases and Gene Expression in Insects
- Genetics top 10%
- Virus-based gene therapy research
Papers in
-
- Genomics and Chromatin Dynamics 6
- RNA Research and Splicing 4
- RNA Interference and Gene Delivery 4
- Viral Infectious Diseases and Gene Expression in Insects 2
- RNA and protein synthesis mechanisms 2
- DNA Repair Mechanisms 1
- Genetics 5
- Virus-based gene therapy research 5
- Co-authors
- Martin C. Schmidt (2 shared papers)Stephen T. Smale (1 shared paper)David Baltimore (1 shared paper)Pierre Boulanger (1 shared paper)Steven K. Yoshinaga (1 shared paper)Qiang Zhou (1 shared paper)Lily Wu (1 shared paper)W S Lee (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)The EMBO Journal (1 paper)Cold Spring Harbor Symposia on Quantitative Biology (1 paper)Genes & Development (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesSingaporeJapan
In The Last Decade
A J Berk
10 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 65
- Molecular Biology 839
- Genetics 266
- Virology 26
- Immunology 115
- Oncology 104
Countries citing papers authored by A J Berk
This map shows the geographic impact of A J Berk'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 A J Berk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A J Berk more than expected).
Fields of papers citing papers by A J Berk
This network shows the impact of papers produced by A J Berk. 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 A J Berk. The network helps show where A J Berk may publish in the future.
Co-authors
The 25 scholars most cited alongside A J Berk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 458 | |
| 2 | 1987 | 145 | |
| 3 | 1994 | 110 | |
| 4 | 1989 | 105 | |
| 5 | 1988 | 58 | |
| 6 | 1991 | 41 | |
| 7 | 1994 | 40 | |
| 8 | 2011 | 32 | |
| 9 | 1991 | 22 | |
| 10 | 1998 | 21 |
About A J Berk
A J Berk is a scholar working on Molecular Biology, Genetics, Epidemiology, Cancer Research and Infectious Diseases, having authored 10 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), Virus-based gene therapy research (5 papers), RNA Research and Splicing (4 papers), RNA Interference and Gene Delivery (4 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), RNA and protein synthesis mechanisms (2 papers), DNA Repair Mechanisms (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Molecular Biology (839 citations), Genetics (266 citations), Virology (26 citations), Immunology (115 citations) and Oncology (104 citations). A J Berk has collaborated with scholars based in United States, Singapore and Japan. Frequent co-authors include Martin C. Schmidt, Stephen T. Smale, David Baltimore, Pierre Boulanger, Steven K. Yoshinaga, Qiang Zhou, Lily Wu, W S Lee, Robert P. Ricciardi and Rosalind A. Segal. Their work appears in journals such as Proceedings of the National Academy of Sciences, The EMBO Journal, Cold Spring Harbor Symposia on Quantitative Biology, Genes & Development 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.