Nicholas Zezza

529 total citations
14 papers, 396 citations indexed

About

Nicholas Zezza is a scholar working on Molecular Biology, Epidemiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Nicholas Zezza has authored 14 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Epidemiology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Nicholas Zezza's work include Substance Abuse Treatment and Outcomes (6 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Genetic Associations and Epidemiology (3 papers). Nicholas Zezza is often cited by papers focused on Substance Abuse Treatment and Outcomes (6 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Genetic Associations and Epidemiology (3 papers). Nicholas Zezza collaborates with scholars based in United States and India. Nicholas Zezza's co-authors include Shirley Y. Hill, Scott Stiffler, Eric K. Hoffman, Brian Holmes, William P. Allan, Sa Shen, Mark W. Perlin, Shuhui Wang, Michael McDermott and Abigail G. Matthews and has published in prestigious journals such as Biological Psychiatry, Psychiatry Research and American Journal of Medical Genetics.

In The Last Decade

Nicholas Zezza

14 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicholas Zezza United States 10 176 99 93 84 74 14 396
Scott Stiffler United States 9 111 0.6× 60 0.6× 52 0.6× 84 1.0× 31 0.4× 12 320
María Pedraz Spain 15 152 0.9× 62 0.6× 48 0.5× 53 0.6× 59 0.8× 19 435
Christopher J. Braun United States 7 289 1.6× 80 0.8× 121 1.3× 130 1.5× 48 0.6× 8 573
B P Riley United Kingdom 6 149 0.8× 134 1.4× 38 0.4× 65 0.8× 29 0.4× 11 406
Rémi Legastelois France 11 289 1.6× 164 1.7× 51 0.5× 78 0.9× 45 0.6× 15 454
Jia‐Fu Lee Taiwan 12 189 1.1× 49 0.5× 108 1.2× 42 0.5× 82 1.1× 12 434
Masanobu Murayama Japan 12 314 1.8× 146 1.5× 171 1.8× 74 0.9× 236 3.2× 16 685
Alexandra Gallo Canada 5 171 1.0× 97 1.0× 41 0.4× 45 0.5× 15 0.2× 9 311
Allyson Gage United States 8 188 1.1× 112 1.1× 45 0.5× 124 1.5× 47 0.6× 12 421
Bader J. Cassin United States 6 449 2.6× 218 2.2× 48 0.5× 79 0.9× 22 0.3× 7 634

Countries citing papers authored by Nicholas Zezza

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Zezza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Zezza

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

All Works

14 of 14 papers shown
1.
Hill, Shirley Y., et al.. (2022). Epigenetic Effects in HPA Axis Genes Associated with Cortical Thickness, ERP Components and SUD Outcome. Behavioral Sciences. 12(10). 347–347. 5 indexed citations
2.
Hill, Shirley Y., Gregory Rompala, Gregg E. Homanics, & Nicholas Zezza. (2017). Cross-Generational Effects of Alcohol Dependence in Humans on HRAS and TP53 Methylation in Offspring. Epigenomics. 9(9). 1189–1203. 15 indexed citations
3.
Hill, Shirley Y., Bobby L. Jones, Stuart R. Steinhauer, Nicholas Zezza, & Scott Stiffler. (2016). Longitudinal predictors of cannabis use and dependence in offspring from families at ultra high risk for alcohol dependence and in control families. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 171(3). 383–395. 6 indexed citations
4.
Hill, Shirley Y., Bobby L. Jones, Nicholas Zezza, & Scott Stiffler. (2015). ACN9 and alcohol dependence: Family‐based association analysis in multiplex alcohol dependence families. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 168(3). 179–187. 4 indexed citations
5.
Lichenstein, Sarah, Bobby L. Jones, Jessica O’Brien, et al.. (2014). Familial Risk for Alcohol Dependence and Developmental Changes in BMI: The Moderating Influence of Addiction and Obesity Genes. Pharmacogenomics. 15(10). 1311–1321. 15 indexed citations
6.
Hill, Shirley Y., Bobby L. Jones, Brian Holmes, et al.. (2013). Cholinergic receptor gene (CHRM2) variation and familial loading for alcohol dependence predict childhood developmental trajectories of P300. Psychiatry Research. 209(3). 504–511. 14 indexed citations
7.
Hill, Shirley Y., Bobby L. Jones, Nicholas Zezza, & Scott Stiffler. (2013). Family-based association analysis of alcohol dependence implicates KIAA0040 on Chromosome 1q in multiplex alcohol dependence families. PubMed. 3(4). 243–252. 3 indexed citations
8.
Hill, Shirley Y., Daniel E. Weeks, Bobby L. Jones, Nicholas Zezza, & Scott Stiffler. (2012). ASTN1 and alcohol dependence: Family‐based association analysis in multiplex alcohol dependence families. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 159B(4). 445–455. 15 indexed citations
9.
Hill, Shirley Y., Shuhui Wang, Kevin D. Tessner, et al.. (2011). Cerebellum volume in high-risk offspring from multiplex alcohol dependence families: Association with allelic variation in GABRA2 and BDNF. Psychiatry Research Neuroimaging. 194(3). 304–313. 42 indexed citations
10.
Hill, Shirley Y., Shuhui Wang, Brian Holmes, et al.. (2008). Disruption of Orbitofrontal Cortex Laterality in Offspring from Multiplex Alcohol Dependence Families. Biological Psychiatry. 65(2). 129–136. 74 indexed citations
11.
Hill, Shirley Y., Eric K. Hoffman, Nicholas Zezza, et al.. (2007). Dopaminergic mutations: Within‐family association and linkage in multiplex alcohol dependence families. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 147B(4). 517–526. 40 indexed citations
12.
Matthews, Abigail G., Eric K. Hoffman, Nicholas Zezza, Scott Stiffler, & Shirley Y. Hill. (2007). The Role of the GABRA2 Polymorphism in Multiplex Alcohol Dependence Families With Minimal Comorbidity: Within-Family Association and Linkage Analyses. Journal of Studies on Alcohol and Drugs. 68(5). 625–633. 36 indexed citations
13.
Hill, Shirley Y., Sa Shen, Nicholas Zezza, et al.. (2004). A genome wide search for alcoholism susceptibility genes. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 128B(1). 102–113. 82 indexed citations
14.
Hill, Shirley Y., et al.. (1999). Personality traits and dopamine receptors (D2 and D4): Linkage studies in families of alcoholics. American Journal of Medical Genetics. 88(6). 634–641. 45 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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