Alan Neely

2.7k citations
55 papers · 2.3k indexed · h-index 27

Impact in

Papers in

Alan Neely

51 papers receiving 2.2k citations

Peers

Alan Neely
Comparison fields: 5 of 85
  • Cellular and Molecular Neuroscience 1.4k
  • Cardiology and Cardiovascular Medicine 952
  • Molecular Biology 2.0k
  • Sensory Systems 70
  • Cell Biology 197
Replace Sindhu Rajan with:
Sindhu Rajan United States
Robert Bähring Germany
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Delphine Bichet France
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Citations per field
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Citations per year

Countries citing papers authored by Alan Neely

Since Specialization
Citations

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

Fields of papers citing papers by Alan Neely

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993212
2 1994169
3 1994166
4
Molecular analysis and functional expression of the human type E neuronal Ca2+ channel alpha 1 subunit.
1994146
5 1998138
6 2013129
7 199299
8 199486
9 201282
10 201460
11 200655
12 201355
13 198651
14 199551
15 200650
16 201048
17 200747
18 199646
19 201643
20 199541

About Alan Neely

Alan Neely is a scholar working on Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Molecular Biology, Aging and Cell Biology, having authored 55 papers that have together received 2.3k indexed citations. Recurring topics across this work include Ion channel regulation and function (49 papers), Cardiac electrophysiology and arrhythmias (29 papers), Neuroscience and Neuropharmacology Research (23 papers), Neuroscience and Neural Engineering (21 papers), Nicotinic Acetylcholine Receptors Study (10 papers), Cellular transport and secretion (6 papers), Lipid Membrane Structure and Behavior (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Cardiology and Cardiovascular Medicine (952 citations), Molecular Biology (2.0k citations), Sensory Systems (70 citations) and Cell Biology (197 citations). Alan Neely has collaborated with scholars based in Chile, United States and Germany. Frequent co-authors include Riccardo Olcese, Lutz Birnbaumer, Enrico Stefani, Christopher J. Lingle, Patricia Hidalgo, Xiangyang Wei, Xing Wei, Na Qin, Ramón Latorre and Carlos González. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biophysical Journal, Journal of Biological Chemistry, The Journal of General Physiology and The Journal of Physiology.

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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