Janet Nooney

14 total papers · 518 total citations
11 papers, 402 citations indexed

About

Janet Nooney is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Janet Nooney has authored 11 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Janet Nooney's work include Nicotinic Acetylcholine Receptors Study (6 papers), Ion channel regulation and function (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). Janet Nooney is often cited by papers focused on Nicotinic Acetylcholine Receptors Study (6 papers), Ion channel regulation and function (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). Janet Nooney collaborates with scholars based in United Kingdom, France and United States. Janet Nooney's co-authors include Jeremy J. Lambert, John A. Peters, Helen Callachan, G.A. Cottrell, Anne Feltz, Régis C. Lambert, David Lodge, Stephen Evans, Mary Armitage and Susan Cole and has published in prestigious journals such as The Journal of Physiology, Brain Research and Trends in Pharmacological Sciences.

In The Last Decade

Janet Nooney

11 papers receiving 387 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Janet Nooney	228	213	70	55	47	11	402
Ethan H. Beckley	151 0.7×	81 0.4×	71 1.0×	118 2.1×	59 1.3×	13	386
Paola Colucci	83 0.4×	73 0.3×	41 0.6×	81 1.5×	54 1.1×	22	436
Christopher Fields	155 0.7×	174 0.8×	82 1.2×	80 1.5×	25 0.5×	13	361
Laura R. Cortes	71 0.3×	106 0.5×	74 1.1×	50 0.9×	38 0.8×	19	338
Minh P. Lam	255 1.1×	173 0.8×	38 0.5×	67 1.2×	19 0.4×	9	426
Amy S. Beadles-Bohling	149 0.7×	131 0.6×	34 0.5×	62 1.1×	11 0.2×	10	371
Nicholas J. Jury	221 1.0×	119 0.6×	43 0.6×	75 1.4×	18 0.4×	11	377
Juan J. López Costa	151 0.7×	98 0.5×	29 0.4×	55 1.0×	21 0.4×	10	361
Tarique Rajasaheb Bagalkot	101 0.4×	71 0.3×	61 0.9×	103 1.9×	26 0.6×	17	365
Ana Cicvaric	84 0.4×	108 0.5×	61 0.9×	58 1.1×	22 0.5×	22	352

Countries citing papers authored by Janet Nooney

Since Specialization

Citations

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

Fields of papers citing papers by Janet Nooney

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janet Nooney

This figure shows the co-authorship network connecting the top 25 collaborators of Janet Nooney. A scholar is included among the top collaborators of Janet Nooney 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 Janet Nooney. Janet Nooney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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