Skye M. Long

13 papers receiving 194 citations

Peers

Skye M. Long
Comparison fields: 5 of 51
  • Cellular and Molecular Neuroscience 66
  • Ecology, Evolution, Behavior and Systematics 71
  • Computational Mechanics 60
  • Sensory Systems 9
  • Management, Monitoring, Policy and Law 21
Replace Mirna Mihovilovic Skanata with:
Mirna Mihovilovic Skanata United States
Nathan Mlot United States
Johan M. Melis United States
Brian Lewis United Kingdom
Camilla R. Sharkey United States
Brett R. Aiello United States
W. Goll Germany
Pearson W. Miller United States
Mary K. Salcedo United States
Tomoya Nakayama Japan
Skye M. Long relative to Mirna Mihovilovic Skanata United States Mirna Mihovilovic Skanata's profile →
Citations per field
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Mirna Mihovilovic Skanata · 1×
Citations per year

Countries citing papers authored by Skye M. Long

Since Specialization
Citations

This map shows the geographic impact of Skye M. Long'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 Skye M. Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Skye M. Long more than expected).

Fields of papers citing papers by Skye M. Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Skye M. Long. 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 Skye M. Long. The network helps show where Skye M. Long may publish in the future.

Co-authors

The 16 scholars most cited alongside Skye M. Long, 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 Skye M. Long Line = papers co-authored together Skye M. Long links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 200688
2 201127
3 202019
4 201219
5 202113
6 201510
7 20209
8 20186
9 20115
10 20223
11 20141
12 20211
13 20141

About Skye M. Long

Skye M. Long is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics, Genetics, Global and Planetary Change and Molecular Biology, having authored 13 papers that have together received 202 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (9 papers), Animal Behavior and Reproduction (5 papers), Amphibian and Reptile Biology (4 papers), Spider Taxonomy and Behavior Studies (3 papers), Insect and Arachnid Ecology and Behavior (2 papers), Visual perception and processing mechanisms (1 paper), Optical Coherence Tomography Applications (1 paper) and Retinal Imaging and Analysis (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (66 citations), Ecology, Evolution, Behavior and Systematics (71 citations), Computational Mechanics (60 citations), Sensory Systems (9 citations) and Management, Monitoring, Policy and Law (21 citations). Skye M. Long has collaborated with scholars based in United States, New Zealand and Australia. Frequent co-authors include Qian Wang, Jùn Zhou, A. D. Dinsmore, Elizabeth M. Jakob, Sara M. Lewis, Wulfila Gronenberg, Anne S. Leonard, Ronald R. Hoy, Gil Menda and Robert R. Jackson. Their work appears in journals such as Journal of Experimental Biology, The Journal of Comparative Neurology, BioTechniques, Biology Letters and Animal Behaviour.

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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