Frank E. Blaney

2.7k citations
42 papers · 2.1k · h-index 19

Impact in

Papers in

    • Receptor Mechanisms and Signaling 18
    • Nicotinic Acetylcholine Receptors Study 8
    • Ion channel regulation and function 6
    • Pharmacological Receptor Mechanisms and Effects 5
    • Neuropeptides and Animal Physiology 9
    • Neuroscience and Neuropharmacology Research 7
    • Neurotransmitter Receptor Influence on Behavior 6

Frank E. Blaney

42 papers receiving 1.9k citations

Peers

Frank E. Blaney
Comparison fields: 5 of 110
  • Pharmacology 383
  • Cellular and Molecular Neuroscience 734
  • Computational Theory and Mathematics 326
  • Molecular Biology 1.1k
  • Organic Chemistry 360
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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 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005376
2 1995325
3 2003192
4 1991185
5 2014167
6 200983
7 200380
8 199774
9 200262
10 199856
11 200142
12 200038
13 200636
14 200730
15 200929
16 199627
17 201125
18 200523
19 199320
20 200818

About Frank E. Blaney

Frank E. Blaney is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Organic Chemistry, Computational Theory and Mathematics and Pharmacology, having authored 42 papers that have together received 2.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (18 papers), Neuropeptides and Animal Physiology (9 papers), Nicotinic Acetylcholine Receptors Study (8 papers), Neuroscience and Neuropharmacology Research (7 papers), Ion channel regulation and function (6 papers), Neurotransmitter Receptor Influence on Behavior (6 papers), Computational Drug Discovery Methods (5 papers) and Pharmacological Receptor Mechanisms and Effects (5 papers). The work is most often cited by research in Pharmacology (383 citations), Cellular and Molecular Neuroscience (734 citations), Computational Theory and Mathematics (326 citations), Molecular Biology (1.1k citations) and Organic Chemistry (360 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 Bridges, Andrea Bortolato, Benjamin G. Tehan, Jonathan S. Mason, Malcolm Weir, Mike Tennant and Ceri Lewis. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Molecular Pharmacology, Biochemical Society Transactions and Proteins Structure Function and Bioinformatics.

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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