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 ⓘ
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- Genomics and Phylogenetic Studies 5
- Machine Learning in Bioinformatics 3
- RNA and protein synthesis mechanisms 3
- Protein Structure and Dynamics 3
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- Enzyme Structure and Function 3
- Co-authors
- Sean V. Murphy (1 shared paper)Yongwook Choi (1 shared paper)Agnes P. Chan (1 shared paper)Jason Miller (1 shared paper)Sung‐Hou Kim (7 shared papers)Se‐Ran Jun (4 shared papers)Guohong Wu (4 shared papers)Chao Zhang (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (8 papers)Journal of Clinical Oncology (1 paper)Nucleic Acids Research (1 paper)Journal of General Virology (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesFranceSouth Korea
In The Last Decade
Gregory E. Sims
12 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Genetics 985
- Molecular Biology 1.9k
- Cancer Research 213
- Endocrinology 71
- Molecular Medicine 65
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 22 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 | 2101 |
| 2 | 2009 | 278 | |
| 3 | 2009 | 120 | |
| 4 | 2011 | 117 | |
| 5 | 2003 | 105 | |
| 6 | 2009 | 53 | |
| 7 | 2009 | 50 | |
| 8 | 2005 | 36 | |
| 9 | 2003 | 22 | |
| 10 | 2012 | 22 | |
| 11 | 2006 | 22 | |
| 12 | 2018 | 1 |
About Gregory E. Sims
Gregory E. Sims is a scholar working on Molecular Biology, Materials Chemistry, Genetics, Spectroscopy and Plant Science, having authored 12 papers that have together received 2.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Machine Learning in Bioinformatics (3 papers), RNA and protein synthesis mechanisms (3 papers), Enzyme Structure and Function (3 papers), Protein Structure and Dynamics (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Animal Virus Infections Studies (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Genetics (985 citations), Molecular Biology (1.9k citations), Cancer Research (213 citations), Endocrinology (71 citations) and Molecular Medicine (65 citations). Gregory E. Sims has collaborated with scholars based in United States, France and South Korea. Frequent co-authors include Sean V. Murphy, Yongwook Choi, Agnes P. Chan, Jason Miller, Sung‐Hou Kim, Se‐Ran Jun, Guohong Wu, Chao Zhang, Sung‐Hou Kim and In‐Geol Choi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology, Nucleic Acids Research, Journal of General Virology and PLoS ONE.
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.