Stuart Weisbrod
Impact in
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- DNA and Nucleic Acid Chemistry
- RNA Interference and Gene Delivery
- DNA Repair Mechanisms
- RNA modifications and cancer
- Genetics top 10%
- Animal Genetics and Reproduction
Papers in
-
- Genomics and Chromatin Dynamics 4
- RNA and protein synthesis mechanisms 4
- RNA Research and Splicing 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Genetics 3
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 2
- Animal Genetics and Reproduction 1
- Co-authors
- Harold Weintraub (3 shared papers)H Weintraub (1 shared paper)Mark Groudine (2 shared papers)Marvin Wickens (1 shared paper)J. B. Gurdon (1 shared paper)
- Journals
- Cell (2 papers)International Journal of Radiation Oncology*Biology*Physics (1 paper)Nucleic Acids Research (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nature (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Stuart Weisbrod
7 papers receiving 1.2k citations
Stuart Weisbrod's Hit Papers
Peers
Comparison fields: 5 of 78
- Molecular Biology 1.2k
- Genetics 248
- Immunology 94
- Cancer Research 50
- Toxicology 12
Countries citing papers authored by Stuart Weisbrod
This map shows the geographic impact of Stuart Weisbrod'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 Stuart Weisbrod with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stuart Weisbrod more than expected).
Fields of papers citing papers by Stuart Weisbrod
This network shows the impact of papers produced by Stuart Weisbrod. 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 Stuart Weisbrod. The network helps show where Stuart Weisbrod may publish in the future.
Co-authors
The 5 scholars most cited alongside Stuart Weisbrod, 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 | Active chromatin Hit paper breakdown → | 1982 | 471 |
| 2 | 1980 | 310 | |
| 3 | 1979 | 284 | |
| 4 | 1981 | 127 | |
| 5 | 1982 | 100 | |
| 6 | 1982 | 19 | |
| 7 | 1979 | 8 |
About Stuart Weisbrod
Stuart Weisbrod is a scholar working on Molecular Biology, Genetics, Genetics, Cellular and Molecular Neuroscience and Ecology, Evolution, Behavior and Systematics, having authored 7 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), RNA and protein synthesis mechanisms (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), RNA Research and Splicing (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Nuclear Receptors and Signaling (1 paper), Animal Genetics and Reproduction (1 paper) and Reproductive Biology and Fertility (1 paper). The work is most often cited by research in Molecular Biology (1.2k citations), Genetics (248 citations), Immunology (94 citations), Cancer Research (50 citations) and Toxicology (12 citations). Stuart Weisbrod has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Harold Weintraub, H Weintraub, Mark Groudine, Marvin Wickens and J. B. Gurdon. Their work appears in journals such as Cell, International Journal of Radiation Oncology*Biology*Physics, Nucleic Acids Research, Proceedings of the National Academy of Sciences and Nature.
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.