Wayne R. Buck

1.3k citations
41 papers · 941 · h-index 17

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Physiology top 5%
    • Calcium signaling and nucleotide metabolism

Papers in

Wayne R. Buck

40 papers receiving 922 citations

Peers

Wayne R. Buck
Comparison fields: 5 of 104
  • Virology 92
  • Physiology 70
  • Developmental Neuroscience 28
  • Neurology 56
  • Aging 12
Replace Colin Herd with:
Colin Herd United Kingdom
Biswajit Das United States
Christopher G. Langendorf Australia
Scott M. Carlson United States
Pierre Savard Canada
Takashi Agui Japan
Zhen Fu United States
P J Nicholls United States
I Fodor Hungary
Eric J. Jaehnig United States
Wayne R. Buck relative to Colin Herd United Kingdom Colin Herd's profile →
Citations per field
00.5×3.9×
Colin Herd · 1×
Citations per year

Countries citing papers authored by Wayne R. Buck

Since Specialization
Citations

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

Fields of papers citing papers by Wayne R. Buck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019171
2 199394
3 200581
4 201180
5 201153
6 199049
7 199443
8 200041
9 201530
10 201728
11 199926
12 199224
13 201620
14 200819
15 200019
16 201718
17 200617
18 201616
19 201513
20 201013

About Wayne R. Buck

Wayne R. Buck is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Virology, Social Psychology and Neurology, having authored 41 papers that have together received 941 indexed citations. Recurring topics across this work include HIV Research and Treatment (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Photoreceptor and optogenetics research (4 papers), MicroRNA in disease regulation (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Analytical Chemistry and Chromatography (3 papers). The work is most often cited by research in Virology (92 citations), Physiology (70 citations), Developmental Neuroscience (28 citations), Neurology (56 citations) and Aging (12 citations). Wayne R. Buck has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Sheldon S. Shen, Eric A.G. Blomme, Michael J. Liguori, Terry R. Van Vleet, Rita Ciurlionis, Mohan Rao, Scott W. Mittelstadt, Michael Podell, Lawrence E. Mathes and Jennifer Gantress. Their work appears in journals such as Developmental Biology, Pharmaceuticals, JAIDS Journal of Acquired Immune Deficiency Syndromes, Experimental Cell Research and Toxicologic Pathology.

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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