William D. Blaker

587 citations
20 papers · 480 · h-index 14

Impact in

Papers in

William D. Blaker

19 papers receiving 456 citations

Peers

William D. Blaker
Comparison fields: 5 of 85
  • Cellular and Molecular Neuroscience 298
  • Behavioral Neuroscience 31
  • Cognitive Neuroscience 126
  • Developmental Neuroscience 16
  • Physiology 16
Replace R.L. Alkana with:
R.L. Alkana United States
Yoshio Matsumoto Japan
Petar Polc Switzerland
M. Orlandi Italy
Simin Khavandgar Iran
G. Schulze Germany
N. Zonta Italy
Karl‐Heinz Sontag Germany
James A. Bell United States
Antonio Mendonça Canada
William D. Blaker relative to R.L. Alkana United States R.L. Alkana's profile →
Citations per field
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R.L. Alkana · 1×
Citations per year

Countries citing papers authored by William D. Blaker

Since Specialization
Citations

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

Fields of papers citing papers by William D. Blaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside William D. Blaker, 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 William D. Blaker Line = papers co-authored together William D. Blaker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1983193
2 198229
3 198127
4 198323
5 198123
6 198423
7 198321
8 198520
9 199217
10 198315
11 198715
12 198014
13 198514
14 197814
15 198711
16 19908
17 19835
18 19924
19 19794
20 20210

About William D. Blaker

William D. Blaker is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Pharmacology and Cognitive Neuroscience, having authored 20 papers that have together received 480 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (12 papers), Memory and Neural Mechanisms (4 papers), Cholinesterase and Neurodegenerative Diseases (4 papers), Adipose Tissue and Metabolism (3 papers), Receptor Mechanisms and Signaling (3 papers), Nerve injury and regeneration (2 papers), Lipid Membrane Structure and Behavior (2 papers) and Pain Mechanisms and Treatments (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (298 citations), Behavioral Neuroscience (31 citations), Cognitive Neuroscience (126 citations), Developmental Neuroscience (16 citations) and Physiology (16 citations). William D. Blaker has collaborated with scholars based in United States. Frequent co-authors include Maria Giuseppa Corda, Wallace B. Mendelson, Alessandro Guidotti, Eduardo Costa, Pierre Morell, Arrel D. Toews, D.L. Cheney, E Costa, Martin R. Krigman and David J. Thomas. Their work appears in journals such as Brain Research, Journal of Neurochemistry, Journal of Pharmacology and Experimental Therapeutics, Pharmacology Biochemistry and Behavior and Proceedings of the National Academy of Sciences.

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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