Frank E. Blaney

2.7k citations
46 papers · 2.4k · h-index 23

Impact in

Papers in

    • Neuropeptides and Animal Physiology 10
    • Neurotransmitter Receptor Influence on Behavior 9
    • Neuroscience and Neuropharmacology Research 8
    • Receptor Mechanisms and Signaling 21
    • Pharmacological Receptor Mechanisms and Effects 8
    • Nicotinic Acetylcholine Receptors Study 8
    • Ion channel regulation and function 6

Frank E. Blaney

45 papers receiving 2.3k citations

Peers

Frank E. Blaney
Comparison fields: 5 of 112
  • Cellular and Molecular Neuroscience 911
  • Pharmacology 389
  • Computational Theory and Mathematics 346
  • Molecular Biology 1.3k
  • Organic Chemistry 440
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Citations per field
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Citations per year

Countries citing papers authored by Frank E. Blaney

Since Specialization
Citations

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

Fields of papers citing papers by Frank E. Blaney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank E. Blaney. 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 Frank E. Blaney. The network helps show where Frank E. Blaney may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005377
2 1995323
3 2003194
4 1991190
5 2014170
6 200385
7 200984
8 200780
9 199775
10 199872
11 200070
12 200264
13 199857
14 200951
15 200142
16 200038
17 200636
18 200733
19 200832
20 200931

About Frank E. Blaney

Frank E. Blaney is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Pharmacology, Organic Chemistry and Computational Theory and Mathematics, having authored 46 papers that have together received 2.4k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (21 papers), Neuropeptides and Animal Physiology (10 papers), Neurotransmitter Receptor Influence on Behavior (9 papers), Pharmacological Receptor Mechanisms and Effects (8 papers), Neuroscience and Neuropharmacology Research (8 papers), Nicotinic Acetylcholine Receptors Study (8 papers), Ion channel regulation and function (6 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (911 citations), Pharmacology (389 citations), Computational Theory and Mathematics (346 citations), Molecular Biology (1.3k citations) and Organic Chemistry (440 citations). Frank E. Blaney has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include G.A. Kennett, Gordon S. Baxter, T.P. Blackburn, Angela M. Bridges, Malcolm Weir, Benjamin Gerald Tehan, Jonathan S. Mason, Andrea Bortolato, Mike Tennant and Sandeep P. Modi. Their work appears in journals such as Journal of Medicinal Chemistry, Molecular Pharmacology, Journal of Biological Chemistry, Bioorganic & Medicinal Chemistry Letters and Biochemical Society Transactions.

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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