Lance Parsons
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms 5
- Computational Mathematics top 10%
- Artificial Intelligence top 2%
- Signal Processing top 5%
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- Herpesvirus Infections and Treatments 6
- Cytomegalovirus and herpesvirus research 4
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- CRISPR and Genetic Engineering 5
- Gene expression and cancer classification 4
- RNA regulation and disease 3
- RNA and protein synthesis mechanisms 3
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- Cancer Genomics and Diagnostics 4
- Co-authors
- Huan LiuMoriah L. SzparaLynn W. EnquistDavid BotsteinHenrik Devitt MøllerBirgitte RegenbergAlison E. GammieRachel Kaletsky
- Journals
- Journal of Visualized Experiments (5 papers)G3 Genes Genomes Genetics (3 papers)IEEE Intelligent Systems (3 papers)
- Partner nations
- United StatesDenmarkItaly
In The Last Decade
Lance Parsons
33 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Aging 180
- Computer Vision and Pattern Recognition 453
- Computational Mathematics 13
- Artificial Intelligence 699
- Signal Processing 211
Countries citing papers authored by Lance Parsons
This map shows the geographic impact of Lance Parsons'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 Lance Parsons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lance Parsons more than expected).
Fields of papers citing papers by Lance Parsons
This network shows the impact of papers produced by Lance Parsons. 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 Lance Parsons. The network helps show where Lance Parsons may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lance Parsons, 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 | 2025 | 2 | |
| 2 | Improving prime editing with an endogenous small RNA-binding proteinbreakdown → | 2024 | 107 |
| 3 | 2021 | 47 | |
| 4 | 2021 | 21 | |
| 5 | 2020 | 140 | |
| 6 | 2019 | 6 | |
| 7 | 2018 | 37 | |
| 8 | 2016 | 47 | |
| 9 | 2015 | 39 | |
| 10 | 2014 | 11 | |
| 11 | 2013 | 17 | |
| 12 | 2012 | 21 | |
| 13 | 2011 | 34 | |
| 14 | 2011 | 64 | |
| 15 | 2011 | 126 | |
| 16 | 2010 | 126 | |
| 17 | 2010 | 69 | |
| 18 | Fostering Biological Relevance in Feature Selection for Microarray Data | 2005 | 8 |
| 19 | Feature selection: We've barely scratched the surface | 2005 | 14 |
| 20 | Evaluating subspace clustering algorithms | 2004 | 26 |
About Lance Parsons
Lance Parsons is a scholar working on Aging, Virology, Parasitology, Cancer Research and Molecular Biology, having authored 33 papers that have together received 2.4k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (6 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), CRISPR and Genetic Engineering (5 papers), Cancer Genomics and Diagnostics (4 papers), Cytomegalovirus and herpesvirus research (4 papers), Gene expression and cancer classification (4 papers), RNA regulation and disease (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Aging (180 citations), Computer Vision and Pattern Recognition (453 citations), Computational Mathematics (13 citations), Artificial Intelligence (699 citations) and Signal Processing (211 citations). Lance Parsons has collaborated with scholars based in United States, Denmark and Italy. Frequent co-authors include Huan Liu, Moriah L. Szpara, Lynn W. Enquist, David Botstein, Henrik Devitt Møller, Birgitte Regenberg, Alison E. Gammie, Rachel Kaletsky, Coleen T. Murphy and Zemer Gitai. Their work appears in journals such as Journal of Visualized Experiments, G3 Genes Genomes Genetics, IEEE Intelligent Systems, Nature and Journal of 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.