Audra Johnson
Impact in
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Epigenetics and DNA Methylation
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- Protein Structure and Dynamics
Papers in
-
- Epigenetics and DNA Methylation 2
- Genomics and Chromatin Dynamics 1
- Protein Structure and Dynamics 1
- Cancer-related gene regulation 1
- Plant Gene Expression Analysis 1
- Genetics 2
- Genetics and Neurodevelopmental Disorders 1
- Genetic Mapping and Diversity in Plants and Animals 1
- Co-authors
- Richard Sandstrom (5 shared papers)J Stamatoyannopoulos (5 shared papers)Jeff Vierstra (3 shared papers)Alex Reynolds (3 shared papers)Eric Rynes (3 shared papers)Eric Haugen (3 shared papers)Celeste J. Brown (1 shared paper)A. Keith Dunker (1 shared paper)
- Journals
- Nature (2 papers)Frontiers in Plant Science (1 paper)Current Opinion in Structural Biology (1 paper)Bioinformatics (1 paper)PubMed (1 paper)
- Partner nations
- United States
In The Last Decade
Audra Johnson
6 papers receiving 1.2k citations
Audra Johnson's Hit Papers
Peers
Comparison fields: 5 of 98
- Molecular Biology 914
- Aging 18
- Genetics 244
- Cancer Research 117
- Plant Science 182
Countries citing papers authored by Audra Johnson
This map shows the geographic impact of Audra Johnson'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 Audra Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Audra Johnson more than expected).
Fields of papers citing papers by Audra Johnson
This network shows the impact of papers produced by Audra Johnson. 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 Audra Johnson. The network helps show where Audra Johnson may publish in the future.
Co-authors
The 25 scholars most cited alongside Audra Johnson, 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 | BEDOPS: high-performance genomic feature operations Hit paper breakdown → | 2012 | 650 |
| 2 | 2011 | 225 | |
| 3 | 2020 | 198 | |
| 4 | 2020 | 161 | |
| 5 | 2019 | 15 | |
| 6 | 2013 | 1 |
About Audra Johnson
Audra Johnson is a scholar working on Molecular Biology, Genetics, Oncology, Plant Science and Materials Chemistry, having authored 6 papers that have together received 1.3k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (2 papers), Genomics and Chromatin Dynamics (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Protein Structure and Dynamics (1 paper), Cancer-related gene regulation (1 paper), Plant Gene Expression Analysis (1 paper) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Molecular Biology (914 citations), Aging (18 citations), Genetics (244 citations), Cancer Research (117 citations) and Plant Science (182 citations). Audra Johnson has collaborated with scholars based in United States. Frequent co-authors include Richard Sandstrom, J Stamatoyannopoulos, Jeff Vierstra, Alex Reynolds, Eric Rynes, Eric Haugen, Celeste J. Brown, A. Keith Dunker, Gary W. Daughdrill and Shane Neph. Their work appears in journals such as Nature, Frontiers in Plant Science, Current Opinion in Structural Biology, Bioinformatics and PubMed.
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.