Randall J. Ellis

1.4k total citations · 1 hit paper
14 papers, 891 citations indexed

About

Randall J. Ellis is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Pharmacology. According to data from OpenAlex, Randall J. Ellis has authored 14 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 3 papers in Pharmacology. Recurrent topics in Randall J. Ellis's work include Neurotransmitter Receptor Influence on Behavior (5 papers), Neuroscience and Neuropharmacology Research (3 papers) and Cannabis and Cannabinoid Research (3 papers). Randall J. Ellis is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (5 papers), Neuroscience and Neuropharmacology Research (3 papers) and Cannabis and Cannabinoid Research (3 papers). Randall J. Ellis collaborates with scholars based in United States, Canada and Germany. Randall J. Ellis's co-authors include Michael Michaelides, Juan L. Gomez, Christopher T. Richie, Antonello Bonci, Robert F. Dannals, Martin G. Pomper, Jordi Bonaventura, Brandon K. Harvey, Wojciech G. Lesniak and Polina Sysa‐Shah and has published in prestigious journals such as Science, Cell and Nature Communications.

In The Last Decade

Randall J. Ellis

14 papers receiving 884 citations

Hit Papers

1 papers align trajectories

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.

Chemogenetics revealed: DREADD occupancy and activation via converted clozapine

2017 677 citations Juan L. Gomez, Jordi Bonaventura et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Randall J. Ellis United States	8	471	277	226	124	99	14	891
Diana C. Ferrari France	11	292 0.6×	262 0.9×	233 1.0×	78 0.6×	153 1.5×	16	920
João Eduardo de Araújo Brazil	16	319 0.7×	157 0.6×	167 0.7×	45 0.4×	109 1.1×	45	805
Fang‐Jung Wan Taiwan	18	374 0.8×	126 0.5×	161 0.7×	88 0.7×	58 0.6×	34	799
Glenn R. Yamakawa Australia	18	241 0.5×	197 0.7×	132 0.6×	320 2.6×	47 0.5×	55	909
Guzel Valeeva Russia	14	583 1.2×	391 1.4×	219 1.0×	61 0.5×	79 0.8×	30	916
D Robinson United States	10	328 0.7×	186 0.7×	226 1.0×	88 0.7×	123 1.2×	22	716
Giovanna Flore Italy	23	1000 2.1×	382 1.4×	418 1.8×	79 0.6×	140 1.4×	41	1.7k
Kai K. Kummer Austria	17	346 0.7×	186 0.7×	239 1.1×	25 0.2×	145 1.5×	43	976
Marie A. Labouesse Switzerland	16	173 0.4×	112 0.4×	217 1.0×	102 0.8×	201 2.0×	21	942
Samuel J. Dienel United States	12	289 0.6×	316 1.1×	207 0.9×	37 0.3×	55 0.6×	22	786

Countries citing papers authored by Randall J. Ellis

Since Specialization

Citations

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

Fields of papers citing papers by Randall J. Ellis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Randall J. Ellis. 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 Randall J. Ellis. The network helps show where Randall J. Ellis may publish in the future.

Co-authorship network of co-authors of Randall J. Ellis

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

All Works

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14 of 14 papers shown

Ellis, Randall J., Jacqueline‐Marie N. Ferland, Joseph A. Landry, et al.. (2024). Machine Learning Analysis of the Orbitofrontal Cortex Transcriptome of Human Opioid Users Identifies Shisa7 as a Translational Target Relevant for Heroin Seeking Leveraging a Male Rat Model. Biological Psychiatry. 98(1). 23–33. 1 indexed citations

Luo, Renhao, Dena Zeraatkar, M. Maria Glymour, et al.. (2024). Specification curve analysis to identify heterogeneity in risk factors for dementia: findings from the UK Biobank. BMC Medicine. 22(1). 216–216. 4 indexed citations

Ellis, Randall J., et al.. (2022). Twelve key challenges in medical machine learning and solutions. Intelligence-Based Medicine. 6. 100068–100068. 32 indexed citations

Ferland, Jacqueline‐Marie N., et al.. (2022). Dose mediates the protracted effects of adolescent THC exposure on reward and stress reactivity in males relevant to perturbation of the basolateral amygdala transcriptome. Molecular Psychiatry. 28(6). 2583–2593. 12 indexed citations

Ellis, Randall J.. (2022). Questionable Research Practices, Low Statistical Power, and Other Obstacles to Replicability: Why Preclinical Neuroscience Research Would Benefit from Registered Reports. eNeuro. 9(4). ENEURO.0017–22.2022. 7 indexed citations

Ferland, Jacqueline‐Marie N., et al.. (2022). Long-Term Outcomes of Adolescent THC Exposure on Translational Cognitive Measures in Adulthood in an Animal Model and Computational Assessment of Human Data. JAMA Psychiatry. 80(1). 66–66. 15 indexed citations

Gomez, Juan L., Jordi Bonaventura, Jacqueline D. Keighron, et al.. (2021). Synaptic Zn2+ potentiates the effects of cocaine on striatal dopamine neurotransmission and behavior. Translational Psychiatry. 11(1). 570–570. 6 indexed citations

Ellis, Randall J., Anissa Bara, Joseph A. Landry, et al.. (2021). Prenatal Δ9-Tetrahydrocannabinol Exposure in Males Leads to Motivational Disturbances Related to Striatal Epigenetic Dysregulation. Biological Psychiatry. 92(2). 127–138. 34 indexed citations

Ellis, Randall J., et al.. (2021). SnapShot: Neurobiology of opioid use disorder. Cell. 184(6). 1648–1648.e1. 2 indexed citations

10.

Suprun, Maria, Randall J. Ellis, Hugh A. Sampson, & Mayte Suárez‐Fariñas. (2021). bbeaR: an R package and framework for epitope-specific antibody profiling. Bioinformatics. 37(1). 131–133. 2 indexed citations

11.

Egervári, Gabor, John F. Fullard, Joseph A. Landry, et al.. (2020). Chromatin accessibility mapping of the striatum identifies tyrosine kinase FYN as a therapeutic target for heroin use disorder. Nature Communications. 11(1). 4634–4634. 20 indexed citations

12.

Ellis, Randall J., Zichen Wang, Nicholas Genes, & Avi Ma’ayan. (2019). Predicting opioid dependence from electronic health records with machine learning. BioData Mining. 12(1). 3–3. 66 indexed citations

13.

Michaelides, Michael, M. L. Miller, Gabor Egervári, et al.. (2018). Striatal Rgs4 regulates feeding and susceptibility to diet-induced obesity. Molecular Psychiatry. 25(9). 2058–2069. 13 indexed citations

14.

Gomez, Juan L., Jordi Bonaventura, Wojciech G. Lesniak, et al.. (2017). Chemogenetics revealed: DREADD occupancy and activation via converted clozapine. Science. 357(6350). 503–507. 677 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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