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
- RNA and protein synthesis mechanisms 1
- Genomics and Phylogenetic Studies 1
- Genomics and Chromatin Dynamics 1
- Genetics 2
- Genetic Mapping and Diversity in Plants and Animals 1
- Genetics and Neurodevelopmental Disorders 1
- Co-authors
- J Stamatoyannopoulos (5 shared papers)Richard Sandstrom (5 shared papers)Eric Rynes (3 shared papers)Jeff Vierstra (3 shared papers)Eric Haugen (3 shared papers)Alex Reynolds (3 shared papers)Celeste J. Brown (1 shared paper)Gary W. Daughdrill (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
Hit Papers
Peers
Comparison fields: 5 of 101
- Molecular Biology 964
- Aging 17
- Genetics 259
- Cancer Research 131
- Plant Science 190
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 | 635 |
| 2 | 2011 | 221 | |
| 3 | 2020 | 186 | |
| 4 | 2020 | 155 | |
| 5 | 2019 | 14 | |
| 6 | 2013 | 1 |
About Audra Johnson
Audra Johnson is a scholar working on Molecular Biology, Genetics, Oncology, Artificial Intelligence and Plant Science, having authored 6 papers that have together received 1.2k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (2 papers), Plant Molecular Biology Research (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), RNA and protein synthesis mechanisms (1 paper), Genomics and Phylogenetic Studies (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Genomics and Chromatin Dynamics (1 paper) and Colorectal Cancer Screening and Detection (1 paper). The work is most often cited by research in Molecular Biology (964 citations), Aging (17 citations), Genetics (259 citations), Cancer Research (131 citations) and Plant Science (190 citations). Audra Johnson has collaborated with scholars based in United States. Frequent co-authors include J Stamatoyannopoulos, Richard Sandstrom, Eric Rynes, Jeff Vierstra, Eric Haugen, Alex Reynolds, Celeste J. Brown, Gary W. Daughdrill, A. Keith Dunker and Robert E. Thurman. 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.