Wayne L. Silver

3.2k total citations
39 papers, 2.4k citations indexed

About

Wayne L. Silver is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience and Nutrition and Dietetics. According to data from OpenAlex, Wayne L. Silver has authored 39 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Sensory Systems, 16 papers in Cellular and Molecular Neuroscience and 16 papers in Nutrition and Dietetics. Recurrent topics in Wayne L. Silver's work include Olfactory and Sensory Function Studies (25 papers), Biochemical Analysis and Sensing Techniques (16 papers) and Advanced Chemical Sensor Technologies (14 papers). Wayne L. Silver is often cited by papers focused on Olfactory and Sensory Function Studies (25 papers), Biochemical Analysis and Sensing Techniques (16 papers) and Advanced Chemical Sensor Technologies (14 papers). Wayne L. Silver collaborates with scholars based in United States, Denmark and Germany. Wayne L. Silver's co-authors include Thomas E. Finger, Bärbel Böttger, John H. Teeter, Joseph G. Brand, David G. Moulton, Anne Hansen, J. Russell Mason, J.A. Maruniak, Michele L. Schaefer and Tod R. Clapp and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Comparative Neurology and Brain Research.

In The Last Decade

Wayne L. Silver

38 papers receiving 2.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wayne L. Silver United States 25 1.6k 1.3k 713 690 285 39 2.4k
John C. Kinnamon United States 26 1.5k 0.9× 1.8k 1.4× 535 0.8× 919 1.3× 648 2.3× 52 2.5k
Joseph G. Brand United States 33 1.7k 1.1× 2.0k 1.6× 606 0.8× 1.1k 1.5× 647 2.3× 96 3.3k
Dieter Gläser Germany 27 825 0.5× 1.0k 0.8× 362 0.5× 406 0.6× 769 2.7× 90 2.5k
Lloyd M. Beidler United States 24 1.3k 0.8× 1.7k 1.3× 668 0.9× 878 1.3× 562 2.0× 45 2.7k
Makoto Kashiwayanagi Japan 26 970 0.6× 770 0.6× 836 1.2× 367 0.5× 224 0.8× 89 1.8k
Steven D. Munger United States 28 1.9k 1.1× 1.9k 1.4× 972 1.4× 729 1.1× 477 1.7× 52 2.9k
H. Distel Germany 28 1.3k 0.8× 700 0.5× 581 0.8× 484 0.7× 127 0.4× 46 2.4k
Steven L. Youngentob United States 32 2.1k 1.3× 1.2k 1.0× 1.0k 1.4× 641 0.9× 293 1.0× 66 2.7k
Marion E. Frank United States 33 2.0k 1.2× 2.1k 1.6× 735 1.0× 1.0k 1.5× 284 1.0× 73 2.9k
André Holley France 30 2.2k 1.3× 1.0k 0.8× 1.2k 1.7× 850 1.2× 122 0.4× 70 2.7k

Countries citing papers authored by Wayne L. Silver

Since Specialization
Citations

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

Fields of papers citing papers by Wayne L. Silver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wayne L. Silver. 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 Wayne L. Silver. The network helps show where Wayne L. Silver may publish in the future.

Co-authorship network of co-authors of Wayne L. Silver

This figure shows the co-authorship network connecting the top 25 collaborators of Wayne L. Silver. A scholar is included among the top collaborators of Wayne L. Silver based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wayne L. Silver. Wayne L. Silver is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ryan, Jennifer, et al.. (2023). Mechanisms of carbon dioxide detection in the earthworm Dendrobaena veneta. Frontiers in Ecology and Evolution. 11.
2.
Silver, Wayne L., et al.. (2018). Behavioral Aversion to AITC Requires Both Painless and dTRPA1 in Drosophila. Frontiers in Neural Circuits. 12. 45–45. 17 indexed citations
3.
Blair, Nathaniel T., et al.. (2016). Naturally Produced Defensive Alkenal Compounds Activate TRPA1. Chemical Senses. 41(4). 281–292. 8 indexed citations
4.
Hurd, Mark W., Barbara Lom, & Wayne L. Silver. (2011). SYNAPSE, Symposium for Young Neuroscientists and Professors of the Southeast: A One-day, Regional Neuroscience Meeting Focusing on Undergraduate Research.. PubMed. 9(2). A75–83. 3 indexed citations
5.
Tizzano, Marco, Brian D. Gulbransen, Aurélie Vandenbeuch, et al.. (2010). Nasal chemosensory cells use bitter taste signaling to detect irritants and bacterial signals. Proceedings of the National Academy of Sciences. 107(7). 3210–3215. 329 indexed citations
6.
Silver, Wayne L. & Thomas E. Finger. (2009). The Anatomical and Electrophysiological Basis of Peripheral Nasal Trigeminal Chemoreception. Annals of the New York Academy of Sciences. 1170(1). 202–205. 45 indexed citations
7.
Gulbransen, Brian D., Wayne L. Silver, & Thomas E. Finger. (2008). Solitary chemoreceptor cell survival is independent of intact trigeminal innervation. The Journal of Comparative Neurology. 508(1). 62–71. 30 indexed citations
8.
Silver, Wayne L., et al.. (2006). TRPV1 Receptors and Nasal Trigeminal Chemesthesis. Chemical Senses. 31(9). 807–812. 45 indexed citations
9.
Finger, Thomas E., et al.. (2003). Solitary chemoreceptor cells in the nasal cavity serve as sentinels of respiration. Proceedings of the National Academy of Sciences. 100(15). 8981–8986. 320 indexed citations
10.
Schaefer, Michele L., Bärbel Böttger, Wayne L. Silver, & Thomas E. Finger. (2002). Trigeminal collaterals in the nasal epithelium and olfactory bulb: A potential route for direct modulation of olfactory information by trigeminal stimuli. The Journal of Comparative Neurology. 444(3). 221–226. 179 indexed citations
11.
Silver, Wayne L.. (1992). Neural and Pharmacological Basis for Nasal Irritation. Annals of the New York Academy of Sciences. 641(1). 152–163. 31 indexed citations
12.
Silver, Wayne L., et al.. (1992). Self- and cross-adaptation to chemical stimulation of the nasal trigeminal nerve in the rat. Chemical Senses. 17(5). 507–518. 8 indexed citations
13.
Silver, Wayne L., et al.. (1991). The effects of neonatal capsaicin administration on trigeminal nerve chemoreceptors in the rat nasal cavity. Brain Research. 561(2). 212–216. 40 indexed citations
14.
Finger, Thomas E., et al.. (1990). Ultrastructure of substance P‐ and CGRP‐immunoreactive nerve fibers in the nasal epithelium of rodents. The Journal of Comparative Neurology. 294(2). 293–305. 105 indexed citations
15.
Silver, Wayne L., et al.. (1988). A comparison of the discriminatory ability and sensitivity of the trigeminal and olfactory systems to chemical stimuli in the tiger salamander. Journal of Comparative Physiology A. 164(1). 55–66. 17 indexed citations
16.
Silver, Wayne L., et al.. (1987). Trigeminal Chemoreceptors Cannot Discriminate between Equally Intense Odorantsa. Annals of the New York Academy of Sciences. 510(1). 616–618. 2 indexed citations
17.
Silver, Wayne L., et al.. (1986). Olfactory responses of aquatic and terrestrial salamanders to air and waterborne stimuli. Journal of Comparative Physiology A. 2 indexed citations
18.
Silver, Wayne L. & David G. Moulton. (1982). Chemosensitivity of rat nasal trigeminal receptors. Physiology & Behavior. 28(5). 927–931. 80 indexed citations
19.
Silver, Wayne L. & J.A. Maruniak. (1981). Trigeminal chemoreception in the nasal and oral cavities. Chemical Senses. 6(4). 295–305. 38 indexed citations
20.
Silver, Wayne L.. (1974). An Interdisciplinary Approach to Debate.. 1 indexed citations

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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