Aaron C. Daugherty
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
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- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- RNA Research and Splicing
- Cancer-related gene regulation
- CRISPR and Genetic Engineering
Papers in
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- Genomics and Chromatin Dynamics 2
- Biomedical Text Mining and Ontologies 1
- Co-authors
- Anshul Kundaje (2 shared papers)Anne Brunet (2 shared papers)Salah Mahmoudi (1 shared paper)Elena Mancini (1 shared paper)Bérénice A. Benayoun (1 shared paper)Keerthana Devarajan (1 shared paper)Benjamin C. Hitz (1 shared paper)Elizabeth A. Pollina (1 shared paper)
- Journals
- Liver International (1 paper)Genome Research (1 paper)Cell (1 paper)Journal of the American Medical Informatics Association (1 paper)Microbiological Research (1 paper)
- Partner nations
- United States
In The Last Decade
Aaron C. Daugherty
7 papers receiving 552 citations
Peers
Comparison fields: 5 of 78
- Aging 40
- Molecular Biology 457
- Cancer Research 53
- Endocrinology 16
- Genetics 85
Countries citing papers authored by Aaron C. Daugherty
This map shows the geographic impact of Aaron C. Daugherty'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 Aaron C. Daugherty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron C. Daugherty more than expected).
Fields of papers citing papers by Aaron C. Daugherty
This network shows the impact of papers produced by Aaron C. Daugherty. 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 Aaron C. Daugherty. The network helps show where Aaron C. Daugherty may publish in the future.
Co-authors
The 25 scholars most cited alongside Aaron C. Daugherty, 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 | 2014 | 384 | |
| 2 | 2017 | 96 | |
| 3 | 2008 | 37 | |
| 4 | 2011 | 18 | |
| 5 | 2011 | 10 | |
| 6 | 2016 | 8 | |
| 7 | 2023 | 1 |
About Aaron C. Daugherty
Aaron C. Daugherty is a scholar working on Molecular Biology, Infectious Diseases, Pathology and Forensic Medicine, Oncology and Epidemiology, having authored 7 papers that have together received 554 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (2 papers), Cancer Genomics and Diagnostics (1 paper), Cancer-related Molecular Pathways (1 paper), Legionella and Acanthamoeba research (1 paper), Bacterial Genetics and Biotechnology (1 paper), Salmonella and Campylobacter epidemiology (1 paper), Metalloenzymes and iron-sulfur proteins (1 paper) and Biomedical Text Mining and Ontologies (1 paper). The work is most often cited by research in Aging (40 citations), Molecular Biology (457 citations), Cancer Research (53 citations), Endocrinology (16 citations) and Genetics (85 citations). Aaron C. Daugherty has collaborated with scholars based in United States. Frequent co-authors include Anshul Kundaje, Anne Brunet, Salah Mahmoudi, Elena Mancini, Bérénice A. Benayoun, Keerthana Devarajan, Benjamin C. Hitz, Elizabeth A. Pollina, Kalpana Karra and Edith D. Wong. Their work appears in journals such as Liver International, Genome Research, Cell, Journal of the American Medical Informatics Association and Microbiological Research.
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.