Morgan Shine
Impact in
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- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- RNA Research and Splicing
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
- Machine Learning in Bioinformatics
Papers in
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- RNA and protein synthesis mechanisms 4
- Genomics and Phylogenetic Studies 2
- Protein Structure and Dynamics 1
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- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Anna Marie Pyle (2 shared papers)Chengxin Zhang (2 shared papers)Yang Zhang (1 shared paper)Lydia Herzel (1 shared paper)Karla M. Neugebauer (2 shared papers)Mihaela‐Rita Mihailescu (2 shared papers)Jeffrey D. Evanseck (2 shared papers)Kevin Chen (1 shared paper)
- Journals
- Nature Methods (1 paper)Bioinformatics (1 paper)RNA (1 paper)Nature Reviews Molecular Cell Biology (1 paper)SHILAP Revista de lepidopterología (2 papers)
- Partner nations
- United StatesGermany
In The Last Decade
Morgan Shine
6 papers receiving 251 citations
Morgan Shine's Hit Papers
Peers
Comparison fields: 5 of 69
- Structural Biology 10
- Molecular Biology 197
- Biotechnology 12
- Computational Theory and Mathematics 16
- Ecology 24
Countries citing papers authored by Morgan Shine
This map shows the geographic impact of Morgan Shine'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 Morgan Shine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Morgan Shine more than expected).
Fields of papers citing papers by Morgan Shine
This network shows the impact of papers produced by Morgan Shine. 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 Morgan Shine. The network helps show where Morgan Shine may publish in the future.
Co-authors
The 9 scholars most cited alongside Morgan Shine, 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 | US-align: universal structure alignments of proteins, nucleic acids, and macromolecular complexes Hit paper breakdown → | 2022 | 210 |
| 2 | 2024 | 28 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 2 |
About Morgan Shine
Morgan Shine is a scholar working on Molecular Biology, Infectious Diseases, Ecology, Cardiology and Cardiovascular Medicine and Sociology and Political Science, having authored 6 papers that have together received 252 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Genomics and Phylogenetic Studies (2 papers), Bacteriophages and microbial interactions (2 papers), interferon and immune responses (1 paper), Innovation, Sustainability, Human-Machine Systems (1 paper), Protein Structure and Dynamics (1 paper) and Climate Change Communication and Perception (1 paper). The work is most often cited by research in Structural Biology (10 citations), Molecular Biology (197 citations), Biotechnology (12 citations), Computational Theory and Mathematics (16 citations) and Ecology (24 citations). Morgan Shine has collaborated with scholars based in United States and Germany. Frequent co-authors include Anna Marie Pyle, Chengxin Zhang, Yang Zhang, Lydia Herzel, Karla M. Neugebauer, Mihaela‐Rita Mihailescu, Jeffrey D. Evanseck, Kevin Chen and Katherine L. Moon. Their work appears in journals such as Nature Methods, Bioinformatics, RNA, Nature Reviews Molecular Cell Biology and SHILAP Revista de lepidopterología.
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.