D.G. Lavond

13 papers receiving 1.1k citations

Peers

D.G. Lavond
Comparison fields: 5 of 52
  • Neurology 713
  • Sensory Systems 224
  • Ophthalmology 346
  • Cellular and Molecular Neuroscience 550
  • Cognitive Neuroscience 480
Replace C. H. Yeo with:
C. H. Yeo United Kingdom
M. J. Hardiman United Kingdom
William L. Nores United States
Naoko Nisimaru Japan
Judith K. Thompson United States
M. C. Chubb United States
Thomas P. Langer United States
C. I. De Zeeuw Netherlands
Adriaan M. van Alphen Netherlands
H. Reisine United States
D.G. Lavond relative to C. H. Yeo United Kingdom C. H. Yeo's profile →
Citations per field
00.5×1.5×
C. H. Yeo · 1×
Citations per year

Countries citing papers authored by D.G. Lavond

Since Specialization
Citations

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

Fields of papers citing papers by D.G. Lavond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.G. Lavond. 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 D.G. Lavond. The network helps show where D.G. Lavond may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1982250
2 1992245
3 1985159
4 1987140
5 1987117
6 1984109
7 199748
8 199732
9 199427
10 199027
11 200711
12
Initial identification of the essential brainstem auditory pathway necessary for classical conditioning of the rabbit nictitating membrane eyelid response
19846
13 20101

About D.G. Lavond

D.G. Lavond is a scholar working on Neurology, Sensory Systems, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Ophthalmology, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include Vestibular and auditory disorders (12 papers), Hearing, Cochlea, Tinnitus, Genetics (5 papers), Ophthalmology and Eye Disorders (5 papers), Glaucoma and retinal disorders (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Memory and Neural Mechanisms (2 papers), Neuroscience of respiration and sleep (2 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Neurology (713 citations), Sensory Systems (224 citations), Ophthalmology (346 citations), Cellular and Molecular Neuroscience (550 citations) and Cognitive Neuroscience (480 citations). D.G. Lavond has collaborated with scholars based in United States and Finland. Frequent co-authors include David A. McCormick, Richard F. Thompson, Robert Thompson, Gregory A. Clark, R. Thompson, Dragana Ivkovich, J.E. Steinmetz, J. Kevin Thompson, David Rosen and Robert E. Clark. Their work appears in journals such as Brain Research, Learning & Memory, Proceedings of the National Academy of Sciences, Physiology & Behavior 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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