W.P. Burkard

2.9k citations
63 papers · 2.3k · h-index 26

Impact in

Papers in

    • Receptor Mechanisms and Signaling 8
    • Enzyme function and inhibition 7
    • Neurotransmitter Receptor Influence on Behavior 15
    • Neuroscience and Neuropharmacology Research 13
    • Neuropeptides and Animal Physiology 6

W.P. Burkard

58 papers receiving 2.1k citations

Peers

W.P. Burkard
Comparison fields: 5 of 110
  • Cellular and Molecular Neuroscience 1.2k
  • Biological Psychiatry 73
  • Biochemistry 157
  • Pharmacology 331
  • Toxicology 61
Replace Donald F. Bogdanski with:
Donald F. Bogdanski United States
R. W. Colburn United States
G. Hertting Germany
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Citations per field
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Donald F. Bogdanski · 1×
Citations per year

Countries citing papers authored by W.P. Burkard

Since Specialization
Citations

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

Fields of papers citing papers by W.P. Burkard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W.P. Burkard. 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 W.P. Burkard. The network helps show where W.P. Burkard may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1967206
2 1982193
3 1989181
4 1964112
5 1972108
6 1978102
7 199285
8 197176
9 196474
10 198873
11 197671
12 196967
13 200566
14 196363
15 196255
16 197552
17 199950
18 197243
19 196743
20 196342

About W.P. Burkard

W.P. Burkard is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Biochemistry, Organic Chemistry and Neurology, having authored 63 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (15 papers), Neuroscience and Neuropharmacology Research (13 papers), Receptor Mechanisms and Signaling (8 papers), Enzyme function and inhibition (7 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), Neuropeptides and Animal Physiology (6 papers), Nitric Oxide and Endothelin Effects (5 papers) and Amino Acid Enzymes and Metabolism (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Biological Psychiatry (73 citations), Biochemistry (157 citations), Pharmacology (331 citations) and Toxicology (61 citations). W.P. Burkard has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include A. Pletscher, K.F. Gey, W. Haefely, M. Da Prada, H. H. Keller, G. Bartholini, R. Kettler, L. Pieri, M Jalfre and H. Bruderer. Their work appears in journals such as Cellular and Molecular Life Sciences, Biochemical Pharmacology, Annals of the New York Academy of Sciences, Life Sciences and Acta Psychiatrica Scandinavica.

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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