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
-
- Biomedical Text Mining and Ontologies 14
- Bioinformatics and Genomic Networks 4
-
- Semantic Web and Ontologies 9
- Co-authors
- Maryann E. Martone (11 shared papers)Amarnath Gupta (8 shared papers)Andrey Palyanov (6 shared papers)Sulagna Ghosh (1 shared paper)Hooman Hefzi (1 shared paper)Tyler Cutforth (1 shared paper)Kristin K. Baldwin (1 shared paper)Padraig Gleeson (6 shared papers)
- Journals
- Philosophical Transactions of the Royal Society B Biological Sciences (4 papers)BMC Neuroscience (2 papers)Frontiers in Neuroinformatics (2 papers)Parasitology (1 paper)Frontiers in Genetics (1 paper)
- Partner nations
- United StatesRussiaUnited Kingdom
In The Last Decade
Stephen Larson
36 papers receiving 884 citations
Peers
Comparison fields: 5 of 119
- Aging 112
- Sensory Systems 158
- Biophysics 133
- Cellular and Molecular Neuroscience 201
- Endocrine and Autonomic Systems 54
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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 212 | |
| 2 | 2008 | 116 | |
| 3 | 2014 | 79 | |
| 4 | 2007 | 68 | |
| 5 | 2018 | 51 | |
| 6 | 2013 | 48 | |
| 7 | 2009 | 42 | |
| 8 | 2012 | 41 | |
| 9 | 2018 | 34 | |
| 10 | 2012 | 25 | |
| 11 | 2018 | 20 | |
| 12 | 2016 | 19 | |
| 13 | 2012 | 18 | |
| 14 | 2007 | 18 | |
| 15 | Flipping the College Spreadsheet Skills Classroom: Initial Empirical Results | 2013 | 18 |
| 16 | 2020 | 15 | |
| 17 | 2014 | 12 | |
| 18 | 2012 | 10 | |
| 19 | An Ontology-Driven Knowledge Environment For Subcellular Neuroanatomy. | 2007 | 7 |
| 20 | 1983 | 7 |
About Stephen Larson
Stephen Larson is a scholar working on Molecular Biology, Artificial Intelligence, Aging, Physiology and Biophysics, having authored 37 papers that have together received 921 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), Spaceflight effects on biology (5 papers), Cell Image Analysis Techniques (4 papers), Bioinformatics and Genomic Networks (4 papers), Digital and Cyber Forensics (3 papers) and Ecosystem dynamics and resilience (3 papers). The work is most often cited by research in Aging (112 citations), Sensory Systems (158 citations), Biophysics (133 citations), Cellular and Molecular Neuroscience (201 citations) and Endocrine and Autonomic Systems (54 citations). Stephen Larson has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include Maryann E. Martone, Amarnath Gupta, Andrey Palyanov, Sulagna Ghosh, Hooman Hefzi, Tyler Cutforth, Kristin K. Baldwin, Padraig Gleeson, Jeffrey S. Grethe and Gordon M. Shepherd. Their work appears in journals such as Philosophical Transactions of the Royal Society B Biological Sciences, BMC Neuroscience, Frontiers in Neuroinformatics, Parasitology and Frontiers in Genetics.
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.