Bernadette Cusack

2.7k citations
48 papers · 2.1k · h-index 26

Impact in

    • Neuropeptides and Animal Physiology
    • Neuroscience and Neuropharmacology Research
    • Neurotransmitter Receptor Influence on Behavior
    • Cholinesterase and Neurodegenerative Diseases

Papers in

Bernadette Cusack

46 papers receiving 2.0k citations

Peers

Bernadette Cusack
Comparison fields: 5 of 111
  • Cellular and Molecular Neuroscience 1.1k
  • Pharmacology 451
  • Reproductive Medicine 169
  • Endocrine and Autonomic Systems 121
  • Molecular Biology 1.2k
Replace Joseph Goldfarb with:
Joseph Goldfarb United States
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Anna Borsodi Hungary
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Petrus J. Pauwels France
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Citations per field
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Citations per year

Countries citing papers authored by Bernadette Cusack

Since Specialization
Citations

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

Fields of papers citing papers by Bernadette Cusack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bernadette Cusack. 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 Bernadette Cusack. The network helps show where Bernadette Cusack may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994283
2 1992245
3 1999104
4 200097
5 198080
6 199877
7 199674
8 199968
9 200368
10 200067
11 199167
12 199366
13 199649
14 199248
15 200548
16 199548
17 200046
18 198045
19 200344
20 199343

About Bernadette Cusack

Bernadette Cusack is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology, Computational Theory and Mathematics and Organic Chemistry, having authored 48 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (25 papers), Receptor Mechanisms and Signaling (17 papers), Chemical Synthesis and Analysis (14 papers), Cholinesterase and Neurodegenerative Diseases (11 papers), Computational Drug Discovery Methods (7 papers), Antimicrobial Peptides and Activities (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Alzheimer's disease research and treatments (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Pharmacology (451 citations), Reproductive Medicine (169 citations), Endocrine and Autonomic Systems (121 citations) and Molecular Biology (1.2k citations). Bernadette Cusack has collaborated with scholars based in United States, Malaysia and Belgium. Frequent co-authors include Elliott Richelson, Albert N. Nelson, Abdul H. Fauq, Daniel McCormick, Beth M. Tyler, Terrone L. Rosenberry, Yuan‐Ping Pang, Joseph L. Johnson, Christopher L. Douglas and Karen Groshan. Their work appears in journals such as Chemico-Biological Interactions, Journal of Biological Chemistry, Brain Research, Journal of Pharmacology and Experimental Therapeutics and Biochemistry.

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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