Nigel S. Atkinson

2.5k total citations · 1 hit paper
56 papers, 1.9k citations indexed

About

Nigel S. Atkinson is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Ecology. According to data from OpenAlex, Nigel S. Atkinson has authored 56 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cellular and Molecular Neuroscience, 29 papers in Molecular Biology and 8 papers in Ecology. Recurrent topics in Nigel S. Atkinson's work include Neurobiology and Insect Physiology Research (34 papers), Ion channel regulation and function (12 papers) and Insect Resistance and Genetics (8 papers). Nigel S. Atkinson is often cited by papers focused on Neurobiology and Insect Physiology Research (34 papers), Ion channel regulation and function (12 papers) and Insect Resistance and Genetics (8 papers). Nigel S. Atkinson collaborates with scholars based in United States, Puerto Rico and Bulgaria. Nigel S. Atkinson's co-authors include Barry Ganetzky, Gail A. Robertson, Alfredo Ghezzi, Harish R. Krishnan, Anita K. Hopper, Robert Brenner, Yazan Al-Hasan, Jascha B. Pohl, Jerry C. P. Yin and Annie Park and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Nigel S. Atkinson

55 papers receiving 1.9k citations

Hit Papers

A Component of Calcium-activated Potassium Channels Encod... 1991 2026 2002 2014 1991 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nigel S. Atkinson United States 25 1.2k 1.0k 220 219 208 56 1.9k
Alice Butler United States 20 2.1k 1.8× 1.5k 1.4× 84 0.4× 772 3.5× 144 0.7× 28 2.9k
Celia M. Santi United States 28 1.5k 1.3× 861 0.8× 40 0.2× 320 1.5× 165 0.8× 50 2.8k
Susan Tsunoda United States 17 1.3k 1.1× 1.1k 1.1× 57 0.3× 323 1.5× 76 0.4× 28 1.9k
Robert Kreber United States 14 1.2k 1.0× 821 0.8× 91 0.4× 60 0.3× 331 1.6× 19 2.1k
Linda L. Restifo United States 25 954 0.8× 1.4k 1.3× 116 0.5× 71 0.3× 1.1k 5.2× 42 2.5k
Soohong Min United States 16 352 0.3× 878 0.8× 117 0.5× 104 0.5× 418 2.0× 19 1.6k
L Byerly United States 21 2.0k 1.7× 2.0k 1.9× 112 0.5× 436 2.0× 135 0.6× 28 2.9k
James J. L. Hodge United Kingdom 24 519 0.4× 1.0k 1.0× 63 0.3× 52 0.2× 311 1.5× 51 1.6k
Zhiqiang Yan China 21 745 0.6× 587 0.6× 80 0.4× 54 0.2× 151 0.7× 58 1.7k
Mark A. Tanouye United States 32 2.9k 2.4× 2.8k 2.7× 222 1.0× 848 3.9× 711 3.4× 63 4.3k

Countries citing papers authored by Nigel S. Atkinson

Since Specialization
Citations

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

Fields of papers citing papers by Nigel S. Atkinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nigel S. Atkinson. 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 Nigel S. Atkinson. The network helps show where Nigel S. Atkinson may publish in the future.

Co-authorship network of co-authors of Nigel S. Atkinson

This figure shows the co-authorship network connecting the top 25 collaborators of Nigel S. Atkinson. A scholar is included among the top collaborators of Nigel S. Atkinson 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 Nigel S. Atkinson. Nigel S. Atkinson 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.
Atkinson, Nigel S., et al.. (2025). PPI-ID: Streamlining protein-protein interaction prediction through domain and SLiM mapping. PLoS Computational Biology. 21(10). e1013062–e1013062.
2.
Atkinson, Nigel S.. (2021). Alcohol-induced Aggression. SHILAP Revista de lepidopterología. 16. 2288689049–2288689049. 2 indexed citations
3.
Ghezzi, Alfredo, et al.. (2017). Alcohol-Induced Neuroadaptation Is Orchestrated by the Histone Acetyltransferase CBP. Frontiers in Molecular Neuroscience. 10. 103–103. 14 indexed citations
4.
Li, Xiaolei, et al.. (2015). A histone modification identifies a DNA element controllingsloBK channel gene expression in muscle. Journal of Neurogenetics. 29(2-3). 124–134. 2 indexed citations
5.
Robinson, Brooks G., Sukant Khurana, & Nigel S. Atkinson. (2013). Drosophilalarvae as a model to study physiological alcohol dependence. Communicative & Integrative Biology. 6(2). e23501–e23501. 5 indexed citations
6.
Ghezzi, Alfredo, et al.. (2013). Alcohol-Induced Histone Acetylation Reveals a Gene Network Involved in Alcohol Tolerance. PLoS Genetics. 9(12). e1003986–e1003986. 42 indexed citations
7.
Robinson, Brooks G. & Nigel S. Atkinson. (2013). Is alcoholism learned? Insights from the fruit fly. Current Opinion in Neurobiology. 23(4). 529–534. 10 indexed citations
8.
Ghezzi, Alfredo, et al.. (2013). A DNA Element Regulates Drug Tolerance and Withdrawal in Drosophila. PLoS ONE. 8(9). e75549–e75549. 11 indexed citations
9.
Robinson, Brooks G., et al.. (2012). Neural Adaptation Leads to Cognitive Ethanol Dependence. Current Biology. 22(24). 2338–2341. 25 indexed citations
10.
Al-Hasan, Yazan, et al.. (2011). Tolerance to Anesthesia Depends on Synaptic Proteins. Behavior Genetics. 41(5). 734–745. 4 indexed citations
11.
Ghezzi, Alfredo & Nigel S. Atkinson. (2011). Homeostatic Cont of Neural Activity: A Drosophila Model for Drug Tolerance and Dependence. International review of neurobiology. 99. 23–50. 20 indexed citations
12.
Wāng, Yán, Angelo Ghezzi, Jerry C. P. Yin, & Nigel S. Atkinson. (2009). CREB regulation of BK channel gene expression underlies rapid drug tolerance. Genes Brain & Behavior. 8(4). 369–376. 38 indexed citations
13.
Krishnan, Harish R., et al.. (2007). Computer automated movement detection for the analysis of behavior. Journal of Neuroscience Methods. 162(1-2). 171–179. 33 indexed citations
14.
Wang, Yan, Harish R. Krishnan, Alfredo Ghezzi, Jerry C. P. Yin, & Nigel S. Atkinson. (2007). Drug-Induced Epigenetic Changes Produce Drug Tolerance. PLoS Biology. 5(10). e265–e265. 60 indexed citations
15.
Krishnan, Harish R., et al.. (2006). Ethanol Tolerance Caused by slowpoke Induction in Drosophila. Alcoholism Clinical and Experimental Research. 30(5). 745–753. 78 indexed citations
16.
Krishnan, Harish R., et al.. (2005). The slowpoke Gene Is Necessary for Rapid Ethanol Tolerance in Drosophila. Alcoholism Clinical and Experimental Research. 29(10). 1777–1786. 104 indexed citations
17.
Thomas, Tarita O., et al.. (1997). Novel embryonic regulation of Ca2+-activated K+ channel expression inDrosophila. Invertebrate Neuroscience. 2(4). 283–291. 9 indexed citations
18.
Brenner, Robert & Nigel S. Atkinson. (1996). Developmental- and Eye-Specific Transcriptional Control Elements in an Intronic Region of a Ca 2+ -Activated K + Channel Gene. Developmental Biology. 177(2). 536–543. 17 indexed citations
19.
Tung, Kuei-Shu, et al.. (1992). SRN1, a Yeast Gene Involved in RNA Processing, Is Identical to HEX2/REG1, a Negative Regulator in Glucose Repression. Molecular and Cellular Biology. 12(6). 2673–2680. 15 indexed citations
20.
Atkinson, Nigel S., et al.. (1985). Characterization of an Essential Saccharomyces cerevisiae Gene Related to RNA Processing: Cloning of RNA1 and Generation of a New Allele with a Novel Phenotype. Molecular and Cellular Biology. 5(5). 907–915. 16 indexed citations

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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