E.A. Barnard

1.7k total citations
23 papers, 1.4k citations indexed

About

E.A. Barnard is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, E.A. Barnard has authored 23 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 5 papers in Physiology. Recurrent topics in E.A. Barnard's work include Receptor Mechanisms and Signaling (10 papers), Neuroscience and Neuropharmacology Research (7 papers) and Adenosine and Purinergic Signaling (5 papers). E.A. Barnard is often cited by papers focused on Receptor Mechanisms and Signaling (10 papers), Neuroscience and Neuropharmacology Research (7 papers) and Adenosine and Purinergic Signaling (5 papers). E.A. Barnard collaborates with scholars based in United Kingdom, Switzerland and United States. E.A. Barnard's co-authors include P.P.A. Humphrey, Ian L. Martin, Naushaba Nayeem, Joseph Simon, A.D. Michel, Jeremy M. Henley, Iain P. Chessell, P M Vanhoutte, Michael Spedding and P. Leff and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and FEBS Letters.

In The Last Decade

E.A. Barnard

22 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
E.A. Barnard United Kingdom 16 802 720 438 208 155 23 1.4k
Antonio R. Artalejo Spain 27 1.2k 1.5× 709 1.0× 466 1.1× 146 0.7× 211 1.4× 56 1.9k
Belinda J. Krishek United Kingdom 11 1.0k 1.3× 1.1k 1.6× 431 1.0× 157 0.8× 189 1.2× 13 1.8k
Sigismund Huck Austria 28 1.2k 1.5× 958 1.3× 96 0.2× 127 0.6× 149 1.0× 69 1.9k
Juan José Garrido Spain 26 1.1k 1.4× 960 1.3× 401 0.9× 111 0.5× 299 1.9× 50 2.2k
Shinobu Mochizuki Japan 16 816 1.0× 423 0.6× 182 0.4× 148 0.7× 172 1.1× 21 1.8k
Magdalena Torres Spain 28 928 1.2× 684 0.9× 766 1.7× 162 0.8× 338 2.2× 71 2.2k
Taruna D. Wakade United States 24 1.2k 1.5× 1.1k 1.5× 213 0.5× 86 0.4× 185 1.2× 65 1.7k
A R Wakade United States 29 1.3k 1.7× 1.2k 1.7× 184 0.4× 112 0.5× 382 2.5× 55 2.0k
Per-Eric Lund Sweden 19 907 1.1× 341 0.5× 289 0.7× 251 1.2× 242 1.6× 41 1.6k
Byung‐Chang Suh South Korea 20 1.0k 1.3× 490 0.7× 266 0.6× 101 0.5× 212 1.4× 61 1.5k

Countries citing papers authored by E.A. Barnard

Since Specialization
Citations

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

Fields of papers citing papers by E.A. Barnard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E.A. Barnard

This figure shows the co-authorship network connecting the top 25 collaborators of E.A. Barnard. A scholar is included among the top collaborators of E.A. Barnard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with E.A. Barnard. E.A. Barnard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jones, Clare A., Iain P. Chessell, Joseph Simon, et al.. (2000). Functional characterization of the P2X4 receptor orthologues. British Journal of Pharmacology. 129(2). 388–394. 83 indexed citations
2.
Chessell, Iain P., et al.. (1998). Cloning and functional characterisation of the mouse P2X7 receptor. FEBS Letters. 439(1-2). 26–30. 138 indexed citations
3.
Barnard, E.A.. (1998). Finding a path through the forest of the GABAA receptors. European Neuropsychopharmacology. 8. S53–S53. 1 indexed citations
4.
Hoyer, Daniël, et al.. (1998). Impact of the Human Genome Project on the Principles for Classification and Nomenclature of 5‐HT Receptors. Annals of the New York Academy of Sciences. 861(1). 230–231. 1 indexed citations
5.
Humphrey, P.P.A. & E.A. Barnard. (1998). International Union of Pharmacology. XIX. The IUPHAR Receptor Code: A Proposal for an Alphanumeric Classification System. Pharmacological Reviews. 50(2). 271–277. 30 indexed citations
6.
Henderson, Duncan J., B F King, Shuai Wang, et al.. (1996). A novel G protein-coupled P2 purinoceptor (P2Y3) activated preferentially by nucleoside diphosphates.. Molecular Pharmacology. 50(2). 258–265. 93 indexed citations
7.
Barnard, E.A.. (1996). The transmitter-gated channels: a range of receptor types and structures. Trends in Pharmacological Sciences. 17(9). 305–309. 5 indexed citations
8.
Squire, Michael D., et al.. (1995). Molecular cloning and functional co-expression of a Caenorhabditis elegans nicotinic acetylcholine receptor subunit (acr-2).. PubMed. 3(2). 107–15. 35 indexed citations
9.
10.
Nayeem, Naushaba, et al.. (1994). Quaternary Structure of the Native GABAA Receptor Determined by Electron Microscopic Image Analysis. Journal of Neurochemistry. 62(2). 815–818. 358 indexed citations
11.
Vanhoutte, P M, et al.. (1994). International Union of Pharmacology Committee on Receptor Nomenclature and Drug Classification.. Pharmacological Reviews. 46(2). 111–116. 155 indexed citations
12.
Kerry, C.J., et al.. (1993). Reconstitution of glutamate receptor proteins purified from Xenopus central nervous system into artificial bilayers.. Molecular Pharmacology. 44(1). 142–152. 19 indexed citations
13.
Henley, Jeremy M., A Ambrosini, Daniel Rodrı́guez-Ithurralde, et al.. (1992). Purified unitary kainate/alpha-amino-3-hydroxy-5-methylisooxazole-propionate (AMPA) and kainate/AMPA/N-methyl-D-aspartate receptors with interchangeable subunits.. Proceedings of the National Academy of Sciences. 89(11). 4806–4810. 32 indexed citations
14.
Lasham, Annette, et al.. (1991). Conserved Organization of γ‐Aminobutyric AcidAReceptor Genes: Cloning and Analysis of the Chicken β4‐Subunit Gene. Journal of Neurochemistry. 57(1). 352–355. 38 indexed citations
15.
Barnard, E.A. & Jeremy M. Henley. (1990). The non-NMDA receptors: types, protein structure and molecular biology. Trends in Pharmacological Sciences. 11(12). 500–507. 103 indexed citations
16.
Mamalaki, Cleanthi, E.A. Barnard, & F. Anne Stephenson. (1989). Molecular Size of the γ‐Aminobutyric AcidA Receptor Purified from Mammalian Cerebral Cortex. Journal of Neurochemistry. 52(1). 124–134. 31 indexed citations
17.
Derry, Jonathan M.J., N C Lan, Jean C. Shih, E.A. Barnard, & Pene J. Barnard. (1989). Localization of monoamine oxidase A and B genes on the mouse X chromosome. Nucleic Acids Research. 17(20). 8403–8403. 19 indexed citations
18.
Wong, Yung Hou, Catherine Demoliou-Mason, & E.A. Barnard. (1989). Opioid receptor-G protein interactions: pertussis toxin, Li+ effects and reconstitution studies. 1 indexed citations
19.
Weetman, A. P., et al.. (1988). Acetylcholinesterase antibodies and thyroid autoimmunity.. PubMed. 71(1). 96–9. 20 indexed citations
20.
Barnard, E.A.. (1986). GABAA receptors and opioid receptors as examples of multiple site receptor proteins.. PubMed. 6(2-3). 63–5.

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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