Ryan McHugh
Impact in
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- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- RNA modifications and cancer
- Machine Learning in Bioinformatics
- RNA Research and Splicing
- CRISPR and Genetic Engineering
- Genomics and Phylogenetic Studies
Papers in
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- RNA and protein synthesis mechanisms 2
- Advanced biosensing and bioanalysis techniques 1
- Genetics 2
- Digestive system and related health 1
- Co-authors
- Minkyung Baek (1 shared paper)Frank DiMaio (2 shared papers)Ivan Anishchenko (1 shared paper)Hanlun Jiang (1 shared paper)David Baker (2 shared papers)J. Porta‐Etessam (1 shared paper)Leonard M. Schuman (1 shared paper)Hugh K. Haddox (1 shared paper)
- Journals
- Nature Methods (1 paper)Nature Structural & Molecular Biology (1 paper)PubMed (2 papers)Tissue Antigens (1 paper)
- Partner nations
- United StatesSouth KoreaDenmark
In The Last Decade
Ryan McHugh
5 papers receiving 210 citations
Ryan McHugh's Hit Papers
Peers
Comparison fields: 5 of 53
- Molecular Biology 152
- Structural Biology 2
- Oncology 24
- Computational Theory and Mathematics 12
- Virology 3
Countries citing papers authored by Ryan McHugh
This map shows the geographic impact of Ryan McHugh'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 Ryan McHugh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan McHugh more than expected).
Fields of papers citing papers by Ryan McHugh
This network shows the impact of papers produced by Ryan McHugh. 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 Ryan McHugh. The network helps show where Ryan McHugh may publish in the future.
Co-authors
The 20 scholars most cited alongside Ryan McHugh, 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 | Accurate prediction of protein–nucleic acid complexes using RoseTTAFoldNA Hit paper breakdown → | 2023 | 176 |
| 2 | Colonoscopy in the detection of carcinoma of the intestine. | 1979 | 23 |
| 3 | 1980 | 13 | |
| 4 | Bias in observable cancer age and life-time of mice subject to spontaneous mammary carcinomas. | 1972 | 4 |
| 5 | 2025 | 1 |
About Ryan McHugh
Ryan McHugh is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Oncology and Rheumatology, having authored 5 papers that have together received 217 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Colorectal Cancer Surgical Treatments (1 paper), Systemic Lupus Erythematosus Research (1 paper), Biliary and Gastrointestinal Fistulas (1 paper), Enzyme Structure and Function (1 paper), Digestive system and related health (1 paper) and Gastric Cancer Management and Outcomes (1 paper). The work is most often cited by research in Molecular Biology (152 citations), Structural Biology (2 citations), Oncology (24 citations), Computational Theory and Mathematics (12 citations) and Virology (3 citations). Ryan McHugh has collaborated with scholars based in United States, South Korea and Denmark. Frequent co-authors include Minkyung Baek, Frank DiMaio, Ivan Anishchenko, Hanlun Jiang, David Baker, J. Porta‐Etessam, Leonard M. Schuman, Hugh K. Haddox, Dionne Vafeados and Cameron J. Glasscock. Their work appears in journals such as Nature Methods, Nature Structural & Molecular Biology, PubMed and Tissue Antigens.
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.