Lauren Mueller

909 total citations
26 papers, 514 citations indexed

About

Lauren Mueller is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Lauren Mueller has authored 26 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 7 papers in Cellular and Molecular Neuroscience and 5 papers in Molecular Biology. Recurrent topics in Lauren Mueller's work include Hearing Loss and Rehabilitation (4 papers), Hearing, Cochlea, Tinnitus, Genetics (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Lauren Mueller is often cited by papers focused on Hearing Loss and Rehabilitation (4 papers), Hearing, Cochlea, Tinnitus, Genetics (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Lauren Mueller collaborates with scholars based in United States, Egypt and Australia. Lauren Mueller's co-authors include Geoffrey Schoenbaum, Hannah M. Batchelor, Melissa J. Sharpe, Chun Yun Chang, Yael Niv, Melissa Liu, Joshua L. Jones, Amy M. Gancarz, David Dietz and Rachael L. Neve and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Lauren Mueller

23 papers receiving 512 citations

Peers

Lauren Mueller

CMN

Daniel Gómez-Domínguez Spain

Maysa Sarhan United States

Miguel Skirzewski United States

Marilena Griguoli Italy

Lena Sünke Mortensen Germany

Kathleen R. Bailey United States

Jennifer M Blackwell United States

Anna Beroun Poland

Inna Schwarz Germany

Esther Yang South Korea

Daniel Gómez-Domínguez Spain

Lauren Mueller

377 ×1.5

CMN

303 ×1.3

133 ×0.7

23 ×0.9

15 ×0.7

Citations per year, relative to Lauren Mueller Lauren Mueller (= 1×) peers Daniel Gómez-Domínguez

Countries citing papers authored by Lauren Mueller

Since Specialization

Citations

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

Fields of papers citing papers by Lauren Mueller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lauren Mueller

This figure shows the co-authorship network connecting the top 25 collaborators of Lauren Mueller. A scholar is included among the top collaborators of Lauren Mueller 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 Lauren Mueller. Lauren Mueller 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

Mueller, Lauren, Peter P. Issa, Mohammad H. Hussein, et al.. (2024). Clinical outcomes and tumor microenvironment response to radiofrequency ablation therapy: a systematic review and meta-analysis. Gland Surgery. 13(1). 4–18. 5 indexed citations

Mueller, Lauren, Roseanne S. Wexler, David A. Lovejoy, Robert B. Stein, & Andrew Slee. (2024). Teneurin C-terminal associated peptide (TCAP)-1 attenuates the development and expression of naloxone-precipitated morphine withdrawal in male Swiss Webster mice. Psychopharmacology. 241(8). 1565–1575. 1 indexed citations

Mueller, Lauren, et al.. (2024). Prior cocaine use diminishes encoding of latent information by orbitofrontal, but not medial, prefrontal ensembles. Current Biology. 34(22). 5223–5238.e3.

Mueller, Lauren, et al.. (2024). Social Determinants of Health and Language and Academic Outcomes in Pediatric Cochlear Implantation. JAMA Otolaryngology–Head & Neck Surgery. 151(1). 29–29. 3 indexed citations

Lee, David S., Lauren Mueller, Jason T. Rich, et al.. (2024). Trends in ototoxicity monitoring among cisplatin-treated patients with cancer. Journal of Cancer Survivorship. 19(5). 1750–1760.

Takahashi, Yuji K., et al.. (2023). Dopaminergic prediction errors in the ventral tegmental area reflect a multithreaded predictive model. Nature Neuroscience. 26(5). 830–839. 22 indexed citations

Hussein, Mohammad H., Lauren Mueller, Peter P. Issa, et al.. (2022). Latency Trend Analysis as a Guide to Screening Malignancy Survivors for Second Primary Thyroid Cancer. Biomedicines. 10(8). 1984–1984. 4 indexed citations

Issa, Peter P., Lauren Mueller, Mohammad H. Hussein, et al.. (2022). Radiologist versus Non-Radiologist Detection of Lymph Node Metastasis in Papillary Thyroid Carcinoma by Ultrasound: A Meta-Analysis. Biomedicines. 10(10). 2575–2575. 6 indexed citations

Toraih, Eman A., Ahmed Fouad, Lauren Mueller, et al.. (2022). National perspective on hospital readmissions following adrenalectomy. Gland Surgery. 11(6). 970–980. 1 indexed citations

10.

Taghavi, Sharven, Lauren Mueller, Juan Duchesne, et al.. (2022). Glycocalyx degradation and the endotheliopathy of viral infection. PLoS ONE. 17(10). e0276232–e0276232. 6 indexed citations

11.

Sharpe, Melissa J., Hannah M. Batchelor, Lauren Mueller, Matthew Gardner, & Geoffrey Schoenbaum. (2021). Past experience shapes the neural circuits recruited for future learning. Nature Neuroscience. 24(3). 391–400. 27 indexed citations

12.

Mueller, Lauren, Melissa J. Sharpe, Thomas A. Stalnaker, Andrew M. Wikenheiser, & Geoffrey Schoenbaum. (2020). Prior Cocaine Use Alters the Normal Evolution of Information Coding in Striatal Ensembles during Value-Guided Decision-Making. Journal of Neuroscience. 41(2). 342–353. 4 indexed citations

13.

Sharpe, Melissa J., Hannah M. Batchelor, Lauren Mueller, et al.. (2020). Dopamine transients do not act as model-free prediction errors during associative learning. Nature Communications. 11(1). 106–106. 51 indexed citations

14.

Martin, Jennifer A., Craig Werner, Swarup Mitra, et al.. (2019). A novel role for the actin-binding protein drebrin in regulating opiate addiction. Nature Communications. 10(1). 4140–4140. 27 indexed citations

15.

Sharpe, Melissa J., Chun Yun Chang, Melissa Liu, et al.. (2017). Dopamine transients are sufficient and necessary for acquisition of model-based associations. Nature Neuroscience. 20(5). 735–742. 184 indexed citations

16.

Nunes, Gustavo Della‐Flora, Lauren Mueller, Nicholas J. Silvestri, et al.. (2017). Acetyl‐CoA production from pyruvate is not necessary for preservation of myelin. Glia. 65(10). 1626–1639. 24 indexed citations

17.

Wang, Zi-Jun, Jennifer A. Martin, Lauren Mueller, et al.. (2016). BRG1 in the Nucleus Accumbens Regulates Cocaine-Seeking Behavior. Biological Psychiatry. 80(9). 652–660. 34 indexed citations

18.

Gancarz, Amy M., Yan Jouroukhin, Atsushi Saito, et al.. (2015). DISC1 signaling in cocaine addiction: Towards molecular mechanisms of co-morbidity. Neuroscience Research. 105. 70–74. 7 indexed citations

19.

Gancarz, Amy M., Zijun Wang, Diane Damez-Werno, et al.. (2015). Activin receptor signaling regulates cocaine-primed behavioral and morphological plasticity. Nature Neuroscience. 18(7). 959–961. 42 indexed citations

20.

Mueller, Lauren, Tamara Markovic, Duncan A. A. MacLaren, et al.. (2014). Intra-ventral tegmental area microinjections of urotensin II modulate the effects of cocaine. Behavioural Brain Research. 278. 271–279. 2 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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