Charles E. McAnany
Impact in
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- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- Gene expression and cancer classification
- Epigenetics and DNA Methylation
- Genetics, Bioinformatics, and Biomedical Research
Papers in
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- RNA Research and Splicing 3
- Genetics, Bioinformatics, and Biomedical Research 2
- RNA and protein synthesis mechanisms 1
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- Microtubule and mitosis dynamics 2
- Hippo pathway signaling and YAP/TAZ 1
- Co-authors
- Cameron Mura (5 shared papers)Julien Gagneur (1 shared paper)Julia Zeitlinger (2 shared papers)Amr M. Alexandari (1 shared paper)Žiga Avsec (1 shared paper)Anshul Kundaje (1 shared paper)Sabrina Krueger (2 shared papers)Robin Fropf (1 shared paper)
- Journals
- Nature Genetics (1 paper)Cell Genomics (1 paper)Biophysical Journal (1 paper)PLoS Computational Biology (1 paper)Biomacromolecules (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Charles E. McAnany
7 papers receiving 394 citations
Charles E. McAnany's Hit Papers
Peers
Comparison fields: 5 of 74
- Molecular Biology 330
- Health Informatics 4
- Genetics 54
- Cancer Research 27
- Information Systems and Management 11
Countries citing papers authored by Charles E. McAnany
This map shows the geographic impact of Charles E. McAnany'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 Charles E. McAnany with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles E. McAnany more than expected).
Fields of papers citing papers by Charles E. McAnany
This network shows the impact of papers produced by Charles E. McAnany. 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 Charles E. McAnany. The network helps show where Charles E. McAnany may publish in the future.
Co-authors
The 17 scholars most cited alongside Charles E. McAnany, 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 | Base-resolution models of transcription-factor binding reveal soft motif syntax Hit paper breakdown → | 2021 | 294 |
| 2 | 2016 | 44 | |
| 3 | 2015 | 35 | |
| 4 | 2016 | 16 | |
| 5 | 2016 | 7 | |
| 6 | 2015 | 3 | |
| 7 | 2025 | 1 |
About Charles E. McAnany
Charles E. McAnany is a scholar working on Molecular Biology, Cell Biology, Cardiology and Cardiovascular Medicine, Oncology and Physical and Theoretical Chemistry, having authored 7 papers that have together received 400 indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Microtubule and mitosis dynamics (2 papers), Cancer Treatment and Pharmacology (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper), Connective tissue disorders research (1 paper), Various Chemistry Research Topics (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Molecular Biology (330 citations), Health Informatics (4 citations), Genetics (54 citations), Cancer Research (27 citations) and Information Systems and Management (11 citations). Charles E. McAnany has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Cameron Mura, Julien Gagneur, Julia Zeitlinger, Amr M. Alexandari, Žiga Avsec, Anshul Kundaje, Sabrina Krueger, Robin Fropf, Khyati Dalal and Avanti Shrikumar. Their work appears in journals such as Nature Genetics, Cell Genomics, Biophysical Journal, PLoS Computational Biology and Biomacromolecules.
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.