Amy C. Janes

2.9k total citations
72 papers, 1.9k citations indexed

About

Amy C. Janes is a scholar working on Cognitive Neuroscience, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Amy C. Janes has authored 72 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cognitive Neuroscience, 26 papers in Molecular Biology and 21 papers in Cellular and Molecular Neuroscience. Recurrent topics in Amy C. Janes's work include Functional Brain Connectivity Studies (30 papers), Nicotinic Acetylcholine Receptors Study (22 papers) and Smoking Behavior and Cessation (19 papers). Amy C. Janes is often cited by papers focused on Functional Brain Connectivity Studies (30 papers), Nicotinic Acetylcholine Receptors Study (22 papers) and Smoking Behavior and Cessation (19 papers). Amy C. Janes collaborates with scholars based in United States, Canada and Australia. Amy C. Janes's co-authors include Marc J. Kaufman, Blaise B. Frederick, A. Eden Evins, Maurizio Fava, Diego A. Pizzagalli, Blaise deB. Frederick, Lisa D. Nickerson, Gladys N. Pachas, Scott E. Lukas and Stacey Farmer and has published in prestigious journals such as Nature Medicine, PLoS ONE and Biological Psychiatry.

In The Last Decade

Amy C. Janes

69 papers receiving 1.9k citations

Peers

Amy C. Janes

CMN

ECP

PHYSI

Teresa R. Franklin United States

Lauri Tuominen Finland

Jürgen Gallinat Germany

Marisa M. Silveri United States

Brian J. Mickey United States

Jodi M. Gilman United States

Ann Summerfelt United States

Andre Der‐Avakian United States

Miodrag Radulovački United States

Traute Demirakça Germany

Teresa R. Franklin United States

Amy C. Janes

1.1k ×1.1

1.2k ×2.5

CMN

666 ×1.4

399 ×0.9

ECP

493 ×1.5

PHYSI

Citations per year, relative to Amy C. Janes Amy C. Janes (= 1×) peers Teresa R. Franklin

Countries citing papers authored by Amy C. Janes

Since Specialization

Citations

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

Fields of papers citing papers by Amy C. Janes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy C. Janes. 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 Amy C. Janes. The network helps show where Amy C. Janes may publish in the future.

Co-authorship network of co-authors of Amy C. Janes

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

All Works

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20 of 20 papers shown

Ekhtiari, Hamed, et al.. (2025). Cue-Elicited Brain Activity and Treatment Outcomes in Substance Use Disorders. JAMA Network Open. 8(12). e2548809–e2548809.

Janes, Amy C., et al.. (2025). Targeting early tau pathology: probiotic diet enhances cognitive function and reduces inflammation in a preclinical Alzheimer’s model. Alzheimer s Research & Therapy. 17(1). 24–24. 11 indexed citations

Lee, Phil H., Brenden Tervo‐Clemmens, Richard T. Liu, et al.. (2024). Use of Tobacco Products and Suicide Attempts Among Elementary School–Aged Children. JAMA Network Open. 7(2). e240376–e240376. 5 indexed citations

Korponay, Cole, et al.. (2024). Catecholaminergic Modulation of Large‐Scale Network Dynamics Is Tied to the Reconfiguration of Corticostriatal Connectivity. Human Brain Mapping. 45(17). e70086–e70086. 1 indexed citations

Murray, Laura, Blaise B. Frederick, & Amy C. Janes. (2024). Data-driven connectivity profiles relate to smoking cessation outcomes. Neuropsychopharmacology. 49(6). 1007–1013. 3 indexed citations

Ross, Thomas J., et al.. (2024). Childhood Trauma, Emotional Awareness, and Neural Correlates of Long-Term Nicotine Smoking. JAMA Network Open. 7(1). e2351132–e2351132. 1 indexed citations

Dillon, Daniel G., et al.. (2023). Enhanced decision-making in nicotine dependent individuals who abstain: A computational analysis using Hierarchical Drift Diffusion Modeling. Drug and Alcohol Dependence. 250. 110890–110890. 3 indexed citations

Ashare, Rebecca L., et al.. (2023). Brain and cortisol responses to smoking cues are linked in tobacco‐smoking individuals. Addiction Biology. 28(12). e13338–e13338. 4 indexed citations

Murray, Laura, et al.. (2022). Alcohol- and non-alcohol-related interference: An fMRI study of treatment-seeking adults with alcohol use disorder. Drug and Alcohol Dependence. 235. 109462–109462. 5 indexed citations

10.

Wang, Kainan S., et al.. (2020). Temporal Dynamics of Large-Scale Networks Predict Neural Cue Reactivity and Cue-Induced Craving. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 5(11). 1011–1018. 10 indexed citations

11.

Falcone, Mary, E. Paul Wileyto, Leah Bernardo, et al.. (2019). Neural cue reactivity during acute abstinence predicts short‐term smoking relapse. Addiction Biology. 25(2). e12733–e12733. 28 indexed citations

12.

Copersino, Marc L., Raihaan Patel, Jenessa S. Price, et al.. (2019). Interactive effects of age and recent substance use on striatal shape morphology at substance use disorder treatment entry. Drug and Alcohol Dependence. 206. 107728–107728. 2 indexed citations

13.

Janes, Amy C., Maya Zegel, Kyoko Ohashi, et al.. (2018). Nicotine normalizes cortico-striatal connectivity in non-smoking individuals with major depressive disorder. Neuropsychopharmacology. 43(12). 2445–2451. 33 indexed citations

14.

McCarthy, Julie M., Kelly M. Dumais, Maya Zegel, et al.. (2018). Sex differences in tobacco smokers: Executive control network and frontostriatal connectivity. Drug and Alcohol Dependence. 195. 59–65. 13 indexed citations

15.

Dumais, Kelly M., Teresa R. Franklin, Kanchana Jagannathan, et al.. (2017). Multi-site exploration of sex differences in brain reactivity to smoking cues: Consensus across sites and methodologies. Drug and Alcohol Dependence. 178. 469–476. 28 indexed citations

16.

Janes, Amy C., et al.. (2015). Insula reactivity to negative stimuli is associated with daily cigarette use: A preliminary investigation using the Human Connectome Database. Drug and Alcohol Dependence. 159. 277–280. 7 indexed citations

17.

Whitton, Alexis E., et al.. (2015). Cigarette craving is associated with blunted reward processing in nicotine-dependent smokers. Drug and Alcohol Dependence. 155. 202–207. 19 indexed citations

18.

Kaufman, Marc J., Amy C. Janes, James I. Hudson, et al.. (2015). Brain and cognition abnormalities in long-term anabolic-androgenic steroid users. Drug and Alcohol Dependence. 152. 47–56. 74 indexed citations

19.

Mashhoon, Yasmin, Amy C. Janes, J. Eric Jensen, et al.. (2011). Anterior cingulate proton spectroscopy glutamate levels differ as a function of smoking cessation outcome. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 35(7). 1709–1713. 23 indexed citations

20.

Janes, Amy C., Blaise B. Frederick, Emilio Merlo‐Pich, et al.. (2009). Brain fMRI reactivity to smoking-related images before and during extended smoking abstinence.. Experimental and Clinical Psychopharmacology. 17(6). 365–373. 50 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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