Lance Parsons
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Artificial Intelligence top 2%
- Advanced Clustering Algorithms Research
Papers in
-
- CRISPR and Genetic Engineering 5
- Gene expression and cancer classification 4
- RNA and protein synthesis mechanisms 3
-
- Herpesvirus Infections and Treatments 6
- Cytomegalovirus and herpesvirus research 3
- Co-authors
- Huan Liu (5 shared papers)Moriah L. Szpara (6 shared papers)Lynn W. Enquist (4 shared papers)David Botstein (5 shared papers)Birgitte Regenberg (4 shared papers)Henrik Devitt Møller (4 shared papers)Alison E. Gammie (2 shared papers)Rachel Kaletsky (5 shared papers)
- Journals
- Journal of Visualized Experiments (5 papers)IEEE Intelligent Systems (3 papers)G3 Genes Genomes Genetics (3 papers)Journal of Virology (2 papers)Nature (2 papers)
- Partner nations
- United StatesDenmarkItaly
In The Last Decade
Lance Parsons
34 papers receiving 2.6k citations
Lance Parsons's Hit Papers
Peers
Comparison fields: 5 of 154
- Aging 182
- Artificial Intelligence 852
- Computer Vision and Pattern Recognition 534
- Computational Mathematics 14
- Signal Processing 243
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-authors
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
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Subspace clustering for high dimensional data Hit paper breakdown → | 2004 | 986 |
| 2 | 2015 | 205 | |
| 3 | 2005 | 177 | |
| 4 | 2020 | 147 | |
| 5 | 2010 | 131 | |
| 6 | 2011 | 131 | |
| 7 | Improving prime editing with an endogenous small RNA-binding protein Hit paper breakdown → | 2024 | 130 |
| 8 | 2013 | 80 | |
| 9 | 2010 | 75 | |
| 10 | 2011 | 65 | |
| 11 | 2005 | 59 | |
| 12 | 2021 | 50 | |
| 13 | 2017 | 49 | |
| 14 | 2016 | 49 | |
| 15 | 2015 | 41 | |
| 16 | 2015 | 40 | |
| 17 | 2018 | 39 | |
| 18 | 2011 | 36 | |
| 19 | Evaluating Subspace Clustering Algorithms | 2004 | 34 |
| 20 | 2019 | 32 |
About Lance Parsons
Lance Parsons is a scholar working on Molecular Biology, Epidemiology, Artificial Intelligence, Aging and Cancer Research, having authored 34 papers that have together received 2.7k 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), Gene expression and cancer classification (4 papers), Cancer Genomics and Diagnostics (4 papers), Advanced Clustering Algorithms Research (3 papers), RNA and protein synthesis mechanisms (3 papers) and Cytomegalovirus and herpesvirus research (3 papers). The work is most often cited by research in Aging (182 citations), Artificial Intelligence (852 citations), Computer Vision and Pattern Recognition (534 citations), Computational Mathematics (14 citations) and Signal Processing (243 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, Birgitte Regenberg, Henrik Devitt Møller, Alison E. Gammie, Rachel Kaletsky, Coleen T. Murphy and Zemer Gitai. Their work appears in journals such as Journal of Visualized Experiments, IEEE Intelligent Systems, G3 Genes Genomes Genetics, Journal of Virology and Nature.
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.