Gregory E. Sims
Impact in
- Genetics top 2%
- Genomics and Rare Diseases
- Genetic diversity and population structure
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Fractal and DNA sequence analysis
- Protein Structure and Dynamics
Papers in
-
- Genomics and Phylogenetic Studies 5
- Machine Learning in Bioinformatics 3
- Protein Structure and Dynamics 3
- RNA and protein synthesis mechanisms 3
-
- Advanced Proteomics Techniques and Applications 2
- Co-authors
- Agnes Pui-Yee Chan (1 shared paper)Sean V. Murphy (1 shared paper)Jason Rafe Miller (1 shared paper)Yongwook Choi (1 shared paper)Sung‐Hou Kim (7 shared papers)Guohong Albert Wu (4 shared papers)Se‐Ran Jun (4 shared papers)Chao Zhang (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (8 papers)Nucleic Acids Research (1 paper)PLoS ONE (1 paper)Journal of General Virology (1 paper)
- Partner nations
- United StatesFranceSouth Korea
In The Last Decade
Gregory E. Sims
11 papers receiving 3.0k citations
Gregory E. Sims's Hit Papers
Peers
Comparison fields: 5 of 132
- Genetics 879
- Molecular Biology 1.7k
- Endocrinology 71
- Cancer Research 180
- Molecular Medicine 62
Countries citing papers authored by Gregory E. Sims
This map shows the geographic impact of Gregory E. Sims'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 Gregory E. Sims with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory E. Sims more than expected).
Fields of papers citing papers by Gregory E. Sims
This network shows the impact of papers produced by Gregory E. Sims. 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 Gregory E. Sims. The network helps show where Gregory E. Sims may publish in the future.
Co-authors
The 16 scholars most cited alongside Gregory E. Sims, 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 | Predicting the Functional Effect of Amino Acid Substitutions and Indels Hit paper breakdown → | 2012 | 2169 |
| 2 | 2009 | 308 | |
| 3 | 2011 | 135 | |
| 4 | 2009 | 127 | |
| 5 | 2003 | 112 | |
| 6 | 2009 | 60 | |
| 7 | 2009 | 53 | |
| 8 | 2005 | 39 | |
| 9 | 2003 | 24 | |
| 10 | 2006 | 24 | |
| 11 | 2012 | 23 |
About Gregory E. Sims
Gregory E. Sims is a scholar working on Molecular Biology, Spectroscopy, Endocrinology, Genetics and Materials Chemistry, having authored 11 papers that have together received 3.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Machine Learning in Bioinformatics (3 papers), Protein Structure and Dynamics (3 papers), RNA and protein synthesis mechanisms (3 papers), Enzyme Structure and Function (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and Animal Virus Infections Studies (1 paper). The work is most often cited by research in Genetics (879 citations), Molecular Biology (1.7k citations), Endocrinology (71 citations), Cancer Research (180 citations) and Molecular Medicine (62 citations). Gregory E. Sims has collaborated with scholars based in United States, France and South Korea. Frequent co-authors include Agnes Pui-Yee Chan, Sean V. Murphy, Jason Rafe Miller, Yongwook Choi, Sung‐Hou Kim, Guohong Albert Wu, Se‐Ran Jun, Chao Zhang, Sung‐Hou Kim and In‐Geol Choi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research, PLoS ONE and Journal of General Virology.
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.