Lisa C. Lyons

2.0k citations
48 papers · 1.5k · h-index 23

Impact in

Papers in

Lisa C. Lyons

47 papers receiving 1.5k citations

Peers

Lisa C. Lyons
Comparison fields: 5 of 97
  • Endocrine and Autonomic Systems 877
  • Aging 151
  • Cellular and Molecular Neuroscience 659
  • Cognitive Neuroscience 417
  • Plant Science 334
Replace Zhifeng Yue with:
Zhifeng Yue United States
Daniel Bushey United States
Jerry C.P. Yin United States
James J. L. Hodge United Kingdom
Analyne Schroeder United States
Henk Tjebbe vanderLeest Netherlands
Jerry C. P. Yin United States
Xiangzhong Zheng United States
Joan C. Speh United States
Isabelle Schmutz Switzerland
Lisa C. Lyons relative to Zhifeng Yue United States Zhifeng Yue's profile →
Citations per field
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Zhifeng Yue · 1×
Citations per year

Countries citing papers authored by Lisa C. Lyons

Since Specialization
Citations

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

Fields of papers citing papers by Lisa C. Lyons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa C. Lyons. 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 Lisa C. Lyons. The network helps show where Lisa C. Lyons may publish in the future.

Co-authors

The 25 scholars most cited alongside Lisa C. Lyons, 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 Lisa C. Lyons Line = papers co-authored together Lisa C. Lyons links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999307
2 200999
3 201577
4 200571
5 200869
6 200358
7 199952
8 200646
9 200041
10 201437
11 201135
12 201833
13 202332
14 202331
15 201129
16
Frequency of Incidental Findings on Computed Tomography of Trauma Patients
201029
17 200027
18 202026
19 202126
20 201225

About Lisa C. Lyons

Lisa C. Lyons is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Cognitive Neuroscience, Aging and Physiology, having authored 48 papers that have together received 1.5k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (26 papers), Neurobiology and Insect Physiology Research (21 papers), Genetics, Aging, and Longevity in Model Organisms (8 papers), Sleep and Wakefulness Research (8 papers), Photoreceptor and optogenetics research (8 papers), Memory and Neural Mechanisms (7 papers), Light effects on plants (6 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (877 citations), Aging (151 citations), Cellular and Molecular Neuroscience (659 citations), Cognitive Neuroscience (417 citations) and Plant Science (334 citations). Lisa C. Lyons has collaborated with scholars based in United States, Israel and Jordan. Frequent co-authors include Paul E. Hardin, Nick R. J. Glossop, Arnold Eskin, Gregg Roman, Aliza K. De Nobrega, Oliver Rawashdeh, Maximilian Michel, Omar F. Khabour, Ted Abel and Abraham J. Susswein. Their work appears in journals such as Learning & Memory, Journal of Neuroscience, Journal of Biological Rhythms, Journal of Neurochemistry and Neurobiology of Learning and Memory.

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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