Stephen Larson

1.6k citations
32 papers · 847 · h-index 15

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
    • Olfactory and Sensory Function Studies

Papers in

Stephen Larson

31 papers receiving 818 citations

Peers

Stephen Larson
Comparison fields: 5 of 111
  • Aging 108
  • Sensory Systems 146
  • Biophysics 115
  • Cellular and Molecular Neuroscience 187
  • Cognitive Neuroscience 156
Replace Thomas M. Morse with:
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Citations per field
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Citations per year

Countries citing papers authored by Stephen Larson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Stephen Larson Line = papers co-authored together Stephen Larson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011198
2 2008107
3 201478
4 200761
5 201847
6 201347
7 200940
8 201238
9 201831
10 201223
11 201820
12 201619
13
Flipping the College Spreadsheet Skills Classroom: Initial Empirical Results
201318
14 201217
15 200716
16 202014
17 201411
18 20128
19
An Ontology-Driven Knowledge Environment For Subcellular Neuroanatomy.
20076
20 19996

About Stephen Larson

Stephen Larson is a scholar working on Molecular Biology, Artificial Intelligence, Aging, Physiology and Biophysics, having authored 32 papers that have together received 847 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (12 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers), Semantic Web and Ontologies (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 (108 citations), Sensory Systems (146 citations), Biophysics (115 citations), Cellular and Molecular Neuroscience (187 citations) and Cognitive Neuroscience (156 citations). Stephen Larson has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include Maryann E. Martone, Andrey Palyanov, Hooman Hefzi, Tyler Cutforth, Kristin K. Baldwin, Sulagna Ghosh, Amarnath Gupta, Padraig Gleeson, Jeffrey S. 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, Journal of Structural Biology and Parasitology.

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.

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