Brandon D. Burch
Impact in
- Virology top 5%
- HIV Research and Treatment
-
- RNA Research and Splicing
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- Epigenetics and DNA Methylation
- CRISPR and Genetic Engineering
Papers in
-
- RNA Research and Splicing 8
- RNA and protein synthesis mechanisms 5
- RNA Interference and Gene Delivery 3
- RNA modifications and cancer 3
- Genomics and Chromatin Dynamics 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Virology 4
- HIV Research and Treatment 4
- Co-authors
- William F. Marzluff (9 shared papers)Zbigniew Domiński (7 shared papers)David M. Margolis (4 shared papers)Robert J. Duronio (5 shared papers)Yan Yan (2 shared papers)Ashley C. Godfrey (4 shared papers)Eric J. Wagner (2 shared papers)Kirston Barton (2 shared papers)
- Journals
- Molecular Cell (2 papers)RNA (2 papers)Molecular and Cellular Biology (2 papers)Journal of Virology (1 paper)Clinical Pharmacology & Therapeutics (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Brandon D. Burch
11 papers receiving 507 citations
Peers
Comparison fields: 5 of 53
- Virology 105
- Molecular Biology 412
- Aging 8
- Infectious Diseases 74
- Immunology 42
Countries citing papers authored by Brandon D. Burch
This map shows the geographic impact of Brandon D. Burch'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 Brandon D. Burch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brandon D. Burch more than expected).
Fields of papers citing papers by Brandon D. Burch
This network shows the impact of papers produced by Brandon D. Burch. 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 Brandon D. Burch. The network helps show where Brandon D. Burch may publish in the future.
Co-authors
The 23 scholars most cited alongside Brandon D. Burch, 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 | 2009 | 113 | |
| 2 | 2010 | 80 | |
| 3 | 2012 | 71 | |
| 4 | 2007 | 68 | |
| 5 | 2015 | 54 | |
| 6 | 2006 | 40 | |
| 7 | 2011 | 36 | |
| 8 | 2011 | 31 | |
| 9 | 1997 | 9 | |
| 10 | 2016 | 8 | |
| 11 | 2020 | 4 | |
| 12 | 2021 | 0 | |
| 13 | 2020 | 0 | |
| 14 | 2020 | 0 |
About Brandon D. Burch
Brandon D. Burch is a scholar working on Molecular Biology, Virology, Infectious Diseases, Mathematical Physics and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 514 indexed citations. Recurring topics across this work include RNA Research and Splicing (8 papers), RNA and protein synthesis mechanisms (5 papers), HIV Research and Treatment (4 papers), RNA Interference and Gene Delivery (3 papers), RNA modifications and cancer (3 papers), Genomics and Chromatin Dynamics (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Virology (105 citations), Molecular Biology (412 citations), Aging (8 citations), Infectious Diseases (74 citations) and Immunology (42 citations). Brandon D. Burch has collaborated with scholars based in United States and Australia. Frequent co-authors include William F. Marzluff, Zbigniew Domiński, David M. Margolis, Robert J. Duronio, Yan Yan, Ashley C. Godfrey, Eric J. Wagner, Kirston Barton, Natalia Soriano-Sarabia and Harmony R. Salzler. Their work appears in journals such as Molecular Cell, RNA, Molecular and Cellular Biology, Journal of Virology and Clinical Pharmacology & Therapeutics.
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.