Stephen Larson
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Sensory Systems top 2%
- Olfactory and Sensory Function Studies
Papers in
- Aging 7
- Genetics, Aging, and Longevity in Model Organisms 7
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- Cell Image Analysis Techniques 5
- Co-authors
- Maryann Elizabeth Martone (11 shared papers)Sulagna Dia Ghosh (1 shared paper)Tyler Cutforth (1 shared paper)Hooman Hefzi (1 shared paper)Andrey Yu. Palyanov (6 shared papers)Kristin K. Baldwin (1 shared paper)Amarnath Gupta (8 shared papers)Padraig Gleeson (6 shared papers)
- Journals
- Philosophical Transactions of the Royal Society B Biological Sciences (4 papers)Frontiers in Neuroinformatics (2 papers)BMC Neuroscience (2 papers)Frontiers in Genetics (1 paper)Neuron (1 paper)
- Partner nations
- United StatesUnited KingdomRussia
In The Last Decade
Stephen Larson
38 papers receiving 955 citations
Peers
Comparison fields: 5 of 122
- Aging 115
- Sensory Systems 162
- Biophysics 141
- Cellular and Molecular Neuroscience 220
- Cognitive Neuroscience 207
Countries citing papers authored by Stephen Larson
This map shows the geographic impact of Stephen Larson'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 Stephen Larson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Larson more than expected).
Fields of papers citing papers by Stephen Larson
This network shows the impact of papers produced by Stephen Larson. 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 Stephen Larson. The network helps show where Stephen Larson may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Larson, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 220 | |
| 2 | 2008 | 124 | |
| 3 | 2014 | 84 | |
| 4 | 2007 | 64 | |
| 5 | 2018 | 54 | |
| 6 | 2019 | 47 | |
| 7 | 2013 | 46 | |
| 8 | 2009 | 43 | |
| 9 | 2012 | 41 | |
| 10 | 2018 | 33 | |
| 11 | 2012 | 24 | |
| 12 | 2018 | 20 | |
| 13 | 2007 | 19 | |
| 14 | 2016 | 19 | |
| 15 | 2012 | 18 | |
| 16 | 2016 | 16 | |
| 17 | Flipping the College Spreadsheet Skills Classroom: Initial Empirical Results | 2013 | 16 |
| 18 | 2020 | 15 | |
| 19 | 2014 | 13 | |
| 20 | 2012 | 9 |
About Stephen Larson
Stephen Larson is a scholar working on Aging, Biophysics, Artificial Intelligence, Information Systems and Management and Molecular Biology, having authored 38 papers that have together received 998 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (14 papers), Semantic Web and Ontologies (9 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers), Cell Image Analysis Techniques (5 papers), Spaceflight effects on biology (5 papers), Bioinformatics and Genomic Networks (4 papers), Ecosystem dynamics and resilience (3 papers) and Knowledge Management and Sharing (2 papers). The work is most often cited by research in Aging (115 citations), Sensory Systems (162 citations), Biophysics (141 citations), Cellular and Molecular Neuroscience (220 citations) and Cognitive Neuroscience (207 citations). Stephen Larson has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Maryann Elizabeth Martone, Sulagna Dia Ghosh, Tyler Cutforth, Hooman Hefzi, Andrey Yu. Palyanov, Kristin K. Baldwin, Amarnath Gupta, Padraig Gleeson, Jeffrey Sean Grethe and Matteo Cantarelli. Their work appears in journals such as Philosophical Transactions of the Royal Society B Biological Sciences, Frontiers in Neuroinformatics, BMC Neuroscience, Frontiers in Genetics and Neuron.
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.