Colleen A. McClung

13.6k total citations · 6 hit papers
95 papers, 9.9k citations indexed

About

Colleen A. McClung is a scholar working on Endocrine and Autonomic Systems, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Colleen A. McClung has authored 95 papers receiving a total of 9.9k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Endocrine and Autonomic Systems, 39 papers in Cognitive Neuroscience and 31 papers in Cellular and Molecular Neuroscience. Recurrent topics in Colleen A. McClung's work include Circadian rhythm and melatonin (65 papers), Sleep and Wakefulness Research (28 papers) and Neuroendocrine regulation and behavior (11 papers). Colleen A. McClung is often cited by papers focused on Circadian rhythm and melatonin (65 papers), Sleep and Wakefulness Research (28 papers) and Neuroendocrine regulation and behavior (11 papers). Colleen A. McClung collaborates with scholars based in United States, Japan and Greece. Colleen A. McClung's co-authors include Eric J. Nestler, Ryan W. Logan, Vaishnav Krishnan, Jay Hirsh, Scott J. Russo, Olivier Berton, David W. Self, Carlos A. Bolaños, Danielle Graham and Ralph Dileone 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

Colleen A. McClung

90 papers receiving 9.8k citations

Hit Papers

Essential Role of BDNF in the Mesolimbic Dopamine Pathway... 2003 2026 2010 2018 2006 2007 2003 2007 2018 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Essential Role of BDNF in the Mesolimbic Dopamine Pathway in Social Defeat Stress
    2006 1.7k citations Colleen A. McClung, Vaishnav Krishnan et al. profile →
  2. Mania-like behavior induced by disruption of CLOCK
    2007 617 citations Kole T. Roybal, Ami Graham et al. Proceedings of the National Academy of Sciences profile →
  3. Regulation of gene expression and cocaine reward by CREB and ΔFosB
    2003 516 citations Colleen A. McClung, Eric J. Nestler profile →
  4. Circadian genes, rhythms and the biology of mood disorders
    2007 513 citations Colleen A. McClung Pharmacology & Therapeutics profile →
  5. Rhythms of life: circadian disruption and brain disorders across the lifespan
    2018 460 citations Ryan W. Logan, Colleen A. McClung profile →
  6. The sleep–circadian interface: A window into mental disorders
    2024 51 citations Nicholas Meyer, Renske Lok et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Colleen A. McClung United States 43 3.9k 3.4k 2.5k 1.9k 1.8k 95 9.9k
Ralph Dileone United States 55 3.4k 0.9× 5.4k 1.6× 3.1k 1.2× 979 0.5× 3.5k 1.9× 101 13.9k
Anantha Shekhar United States 63 1.8k 0.4× 3.5k 1.0× 4.1k 1.6× 1.6k 0.8× 1.8k 1.0× 199 10.9k
Craig W. Berridge United States 53 2.1k 0.5× 3.8k 1.1× 4.9k 1.9× 1.4k 0.7× 1.4k 0.7× 94 10.1k
Shari G. Birnbaum United States 39 1.5k 0.4× 3.0k 0.9× 2.0k 0.8× 518 0.3× 2.4k 1.3× 68 7.4k
Carsten T. Wotjak Germany 66 1.8k 0.5× 5.5k 1.6× 3.3k 1.3× 653 0.4× 2.2k 1.2× 182 13.7k
Paul J. Kenny United States 59 1.9k 0.5× 5.2k 1.5× 2.4k 0.9× 924 0.5× 6.7k 3.7× 135 13.1k
Vaishnav Krishnan United States 27 952 0.2× 2.9k 0.9× 1.4k 0.6× 601 0.3× 2.1k 1.1× 57 8.7k
Nicolas Singewald Austria 61 1.2k 0.3× 4.7k 1.4× 2.8k 1.1× 488 0.3× 2.6k 1.4× 216 10.5k
Rainer Spanagel Germany 74 2.4k 0.6× 12.1k 3.6× 3.9k 1.6× 938 0.5× 5.9k 3.2× 340 19.8k
Michel Barrot France 57 1.2k 0.3× 7.1k 2.1× 2.8k 1.1× 523 0.3× 3.4k 1.9× 107 13.6k

Countries citing papers authored by Colleen A. McClung

Since Specialization
Citations

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

Fields of papers citing papers by Colleen A. McClung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Colleen A. McClung

This figure shows the co-authorship network connecting the top 25 collaborators of Colleen A. McClung. A scholar is included among the top collaborators of Colleen A. McClung 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 Colleen A. McClung. Colleen A. McClung 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.
Jenkins, Aaron, Wei Zong, Chelsea A. Vadnie, et al.. (2025). Molecular and cellular rhythms in excitatory and inhibitory neurons in the mouse prefrontal cortex. Cerebral Cortex. 35(7).
2.
Seney, Marianne L., Xiangning Xue, Mariah A. Hildebrand, et al.. (2025). Sex and regional differences in gene expression across the striatum in psychosis. Translational Psychiatry. 15(1). 192–192.
3.
Zong, Wei, Kyle D. Ketchesin, Chelsea A. Vadnie, et al.. (2024). Cell-type and sex-specific rhythmic gene expression in the nucleus accumbens. Molecular Psychiatry. 29(10). 3117–3127. 5 indexed citations
4.
Meyer, Nicholas, Renske Lok, Christina Schmidt, et al.. (2024). The sleep–circadian interface: A window into mental disorders. Proceedings of the National Academy of Sciences. 121(9). e2214756121–e2214756121. 51 indexed citations breakdown →
5.
Wu, Bingchen, Elisa Castagnola, Colleen A. McClung, & Xinyan Tracy Cui. (2024). PEDOT/CNT Flexible MEAs Reveal New Insights into the Clock Gene's Role in Dopamine Dynamics. Advanced Science. 11(27). e2308212–e2308212. 13 indexed citations
6.
McClung, Colleen A., et al.. (2023). Bipolar disorder. Current Opinion in Neurobiology. 83. 102801–102801. 7 indexed citations
7.
Hect, Jasmine L., H. Westley Phillips, Abigail I. Wald, et al.. (2023). Characterization of low‐grade epilepsy‐associated tumor from implanted stereoelectroencephalography electrodes. Epilepsia Open. 9(1). 409–416. 6 indexed citations
8.
Zong, Wei, Marianne L. Seney, Kyle D. Ketchesin, et al.. (2023). Experimental design and power calculation in omics circadian rhythmicity detection using the cosinor model. Statistics in Medicine. 42(18). 3236–3258. 10 indexed citations
9.
Becker‐Krail, Darius D., Kyle D. Ketchesin, Wei Zong, et al.. (2022). Astrocyte Molecular Clock Function in the Nucleus Accumbens Is Important for Reward-Related Behavior. Biological Psychiatry. 92(1). 68–80. 31 indexed citations
10.
Meng, Lingsong, Andrew C. Liu, Michelle L. Gumz, et al.. (2021). Likelihood-based tests for detecting circadian rhythmicity and differential circadian patterns in transcriptomic applications. Briefings in Bioinformatics. 22(6). 15 indexed citations
11.
Parekh, Puja K., Ryan W. Logan, Kyle D. Ketchesin, et al.. (2019). Cell-Type-Specific Regulation of Nucleus Accumbens Synaptic Plasticity and Cocaine Reward Sensitivity by the Circadian Protein, NPAS2. Journal of Neuroscience. 39(24). 4657–4667. 23 indexed citations
12.
Carlson, David, Neil M. Gallagher, Mai-Anh Vu, et al.. (2017). Dynamically Timed Stimulation of Corticolimbic Circuitry Activates a Stress-Compensatory Pathway. Biological Psychiatry. 82(12). 904–913. 29 indexed citations
13.
DePoy, Lauren M., Colleen A. McClung, & Ryan W. Logan. (2017). Neural Mechanisms of Circadian Regulation of Natural and Drug Reward. Neural Plasticity. 2017. 1–14. 42 indexed citations
14.
Spencer, Sade, Kafui Dzirasa, Puja K. Parekh, et al.. (2015). Daytime spikes in dopaminergic activity drive rapid mood-cycling in mice. Molecular Psychiatry. 20(11). 1406–1419. 96 indexed citations
15.
Ozburn, Angela R., Edgardo Falcón, Alan Twaddle, et al.. (2014). Direct Regulation of Diurnal Drd3 Expression and Cocaine Reward by NPAS2. Biological Psychiatry. 77(5). 425–433. 70 indexed citations
16.
Dzirasa, Kafui, Anirban Bhattacharya, Sunil Kumar, et al.. (2011). Impaired Limbic Gamma Oscillatory Synchrony during Anxiety-Related Behavior in a Genetic Mouse Model of Bipolar Mania. Journal of Neuroscience. 31(17). 6449–6456. 40 indexed citations
17.
Dzirasa, Kafui, Laurent Coque, Michelle M. Sidor, et al.. (2010). Lithium Ameliorates Nucleus Accumbens Phase-Signaling Dysfunction in a Genetic Mouse Model of Mania. Journal of Neuroscience. 30(48). 16314–16323. 61 indexed citations
18.
McClung, Colleen A.. (2007). Role for theClockGene in Bipolar Disorder. Cold Spring Harbor Symposia on Quantitative Biology. 72(1). 637–644. 43 indexed citations
19.
McClung, Colleen A.. (2007). Circadian genes, rhythms and the biology of mood disorders. Pharmacology & Therapeutics. 114(2). 222–232. 513 indexed citations breakdown →
20.
Roybal, Kole T., Ami Graham, Jennifer A. DiNieri, et al.. (2007). Mania-like behavior induced by disruption of CLOCK. Proceedings of the National Academy of Sciences. 104(15). 6406–6411. 617 indexed citations breakdown →

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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