Alexis Bailey

2.4k total citations
94 papers, 1.8k citations indexed

About

Alexis Bailey is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Social Psychology. According to data from OpenAlex, Alexis Bailey has authored 94 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 43 papers in Cellular and Molecular Neuroscience and 21 papers in Social Psychology. Recurrent topics in Alexis Bailey's work include Receptor Mechanisms and Signaling (29 papers), Neuropeptides and Animal Physiology (23 papers) and Neurotransmitter Receptor Influence on Behavior (22 papers). Alexis Bailey is often cited by papers focused on Receptor Mechanisms and Signaling (29 papers), Neuropeptides and Animal Physiology (23 papers) and Neurotransmitter Receptor Influence on Behavior (22 papers). Alexis Bailey collaborates with scholars based in United Kingdom, United States and Brazil. Alexis Bailey's co-authors include Ian Kitchen, Panos Zanos, Polymnia Georgiou, Susanna M.O. Hourani, Raphaëlle Winsky‐Sommerer, Athanasios Metaxas, Stefan Schulz, Andrea Kliewer, Setareh Sianati and John T. Williams and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Alexis Bailey

88 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexis Bailey United Kingdom 28 914 824 451 258 255 94 1.8k
Joanna Peris United States 25 1.2k 1.3× 560 0.7× 365 0.8× 169 0.7× 199 0.8× 70 1.8k
Vadim Yuferov United States 29 1.4k 1.5× 1.1k 1.3× 190 0.4× 362 1.4× 177 0.7× 62 2.3k
Monique L. Smith United States 16 495 0.5× 364 0.4× 257 0.6× 388 1.5× 136 0.5× 28 1.3k
James N. Reynolds Canada 36 1.3k 1.4× 914 1.1× 204 0.5× 260 1.0× 287 1.1× 141 4.1k
Sunmee Wee United States 30 2.1k 2.3× 1.0k 1.2× 239 0.5× 279 1.1× 133 0.5× 37 2.7k
Soumen Paul United States 24 1.6k 1.7× 983 1.2× 316 0.7× 229 0.9× 114 0.4× 48 2.7k
George Battaglia United States 29 1.6k 1.8× 840 1.0× 511 1.1× 162 0.6× 179 0.7× 64 2.6k
Karen Brebner Canada 18 1.2k 1.3× 650 0.8× 219 0.5× 151 0.6× 106 0.4× 23 1.7k
Alena Lira United States 11 1.3k 1.5× 660 0.8× 410 0.9× 97 0.4× 84 0.3× 12 2.4k
Jeffrey A. Vivian United States 23 781 0.9× 462 0.6× 515 1.1× 187 0.7× 93 0.4× 39 1.6k

Countries citing papers authored by Alexis Bailey

Since Specialization
Citations

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

Fields of papers citing papers by Alexis Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexis Bailey

This figure shows the co-authorship network connecting the top 25 collaborators of Alexis Bailey. A scholar is included among the top collaborators of Alexis Bailey 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 Alexis Bailey. Alexis Bailey 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.
Ussher, Michael, Sarah Lewis, Ben Blount, et al.. (2025). Toxicant and Nicotine Exposure in Pregnant Smokers, Vapers, and Nicotine-Replacement Users: Cross-Sectional Study. Nicotine & Tobacco Research. 27(10). 1786–1794. 1 indexed citations
2.
Bailey, Alexis, Kerstin K. Leuther, & Lary A. Robinson. (2025). The microbiome and lung cancer: microbial effects on host immune responses and treatment outcomes. PubMed. 4. 1606551–1606551.
3.
Bailey, Alexis, et al.. (2024). Oxidative derivatives of polycyclic aromatic hydrocarbons in urine of smokers during transition to e-cigarettes. SHILAP Revista de lepidopterología. 4(3). 1–13.
4.
Gomes, Ivone, et al.. (2024). Environmental enrichment enhances ethanol preference over social reward in male swiss mice: Involvement of oxytocin-dopamine interactions. Neuropharmacology. 253. 109971–109971. 4 indexed citations
5.
Camarini, Rosana, et al.. (2024). Differential temporal decline of cerebral oxytocin and μ‐opioid receptor density during the aging process in mice. European Journal of Neuroscience. 60(11). 6686–6703. 2 indexed citations
6.
Robinson, Lary A., Tawee Tanvetyanon, Sandra C. Bryant, et al.. (2024). Surgery and Stereotactic Radiotherapy for Stage I Small-Cell Lung Carcinoma: A 25-Year Experience. Clinical Lung Cancer. 25(6). 537–549.e2. 1 indexed citations
7.
8.
Zhang, Yumeng, Lancia Darville, Julie E. Johnson, et al.. (2024). High Pretreatment DHEA Is Associated with Inferior Immunotherapy Response in Metastatic Non-Small Cell Lung Cancer. Cancers. 16(6). 1152–1152. 1 indexed citations
9.
Bailey, Alexis, et al.. (2023). Toxicological assessment of E-cigarette flavored E-liquids aerosols using Calu-3 cells: A 3D lung model approach. Toxicology. 500. 153683–153683. 10 indexed citations
10.
11.
Camarini, Rosana, F. Joly, Sylvie Rabot, et al.. (2022). Sex‐dependent impact of microbiota status on cerebral μ‐opioid receptor density in fischer rats. European Journal of Neuroscience. 55(8). 1917–1933. 6 indexed citations
12.
Bilkei‐Gorzó, András, Este Leidmaa, Britta Schürmann, et al.. (2022). Dynamic Changes in the Endocannabinoid System during the Aging Process: Focus on the Middle-Age Crisis. International Journal of Molecular Sciences. 23(18). 10254–10254. 16 indexed citations
13.
Fritzwanker, Sebastian, Lionel Moulédous, Catherine Mollereau, et al.. (2021). HA-MOP knockin mice express the canonical µ-opioid receptor but lack detectable splice variants. Communications Biology. 4(1). 1070–1070. 6 indexed citations
14.
Camarini, Rosana, et al.. (2021). Region‐specific sex modulation of central oxytocin receptor by gut microbiota: An ontogenic study. Developmental Neurobiology. 81(2). 149–163. 9 indexed citations
15.
Morel, Carole, Sebastián P. Fernández, Frank J. Meye, et al.. (2017). Nicotinic receptors mediate stress-nicotine detrimental interplay via dopamine cells’ activity. Molecular Psychiatry. 23(7). 1597–1605. 41 indexed citations
16.
Chao, Mu‐Rong, Domniki Fragou, Panos Zanos, et al.. (2014). Epigenetically modified nucleotides in chronic heroin and cocaine treated mice. Toxicology Letters. 229(3). 451–457. 16 indexed citations
17.
Metaxas, Athanasios, et al.. (2010). Differential region‐specific regulation of α4β2* nAChRs by self‐administered and non‐contingent nicotine in C57BL/6J mice. Addiction Biology. 15(4). 464–479. 34 indexed citations
18.
19.
Bailey, Alexis, Robert Gianotti, Ann Ho, & Mary Jeanne Kreek. (2005). Persistent upregulation of μ‐opioid, but not adenosine, receptors in brains of long‐term withdrawn escalating dose “binge” cocaine‐treated rats. Synapse. 57(3). 160–166. 28 indexed citations
20.
Bailey, Alexis, Lianne C. Davis, Heidi M. B. Lesscher, et al.. (2004). Enhanced morphine withdrawal and µ‐opioid receptor G‐protein coupling in A2Aadenosine receptor knockout mice. Journal of Neurochemistry. 88(4). 827–834. 32 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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