David B. Bylund

5.4k citations
89 papers · 4.1k indexed · 1 hit paper · h-index 32

Impact in

Papers in

David B. Bylund

84 papers receiving 3.9k citations

Hit Papers

Beta Adrenergic Receptor Binding in Membrane Preparations from Mammalian Brain 1976 · 501 citations
5011976202619922009100200300400500

Peers

David B. Bylund
Comparison fields: 5 of 120
  • Cellular and Molecular Neuroscience 2.4k
  • Behavioral Neuroscience 366
  • Biological Psychiatry 152
  • Developmental Neuroscience 155
  • Molecular Biology 2.3k
Replace Sydney Spector with:
Sydney Spector United States
John F. Tallman United States
Josée E. Leysen Belgium
Heinz Bönisch Germany
Aaron Janowsky United States
Katia Befort France
Florence Noble France
Ivone Gomes United States
Jesús A. García‐Sevilla Spain
David Quartermain United States
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Citations per field
00.5×1.5×2.0×
Sydney Spector · 1×
Citations per year

Countries citing papers authored by David B. Bylund

Since Specialization
Citations

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

Fields of papers citing papers by David B. Bylund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David B. Bylund. 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 David B. Bylund. The network helps show where David B. Bylund may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20173
2 201311
3 201125
4 200842
5 200738
6 2007172
7 200734
8 200619
9 20045
10 20049
11 20030
12 200210
13 20024
14 200126
15 200019
16 199831
17 199554
18 199318
19 199324
20 19903

About David B. Bylund

David B. Bylund is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience, Animal Science and Zoology, Molecular Biology and Psychiatry and Mental health, having authored 89 papers that have together received 4.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (50 papers), Neuropeptides and Animal Physiology (25 papers), Neuroscience and Neuropharmacology Research (22 papers), Pharmacological Effects and Assays (14 papers), Neurotransmitter Receptor Influence on Behavior (11 papers), Computational Drug Discovery Methods (7 papers), Cancer, Stress, Anesthesia, and Immune Response (6 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.4k citations), Behavioral Neuroscience (366 citations), Biological Psychiatry (152 citations), Developmental Neuroscience (155 citations) and Molecular Biology (2.3k citations). David B. Bylund has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Solomon H. Snyder, L. Charles Murrin, David C. U’Prichard, David S. Middlemas, Susan B. Jones, Myron L. Toews, H. Kevin Happe, Jeff Sanders, S.J. Enna and Leslie L. Iversen. Their work appears in journals such as Life Sciences, Biochemical Pharmacology, European Journal of Pharmacology, Psychiatry Research and Journal of Pharmacology and Experimental Therapeutics.

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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