Jeffry Alexander

770 total citations
7 papers, 149 citations indexed

About

Jeffry Alexander is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Genetics. According to data from OpenAlex, Jeffry Alexander has authored 7 papers receiving a total of 149 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pathology and Forensic Medicine, 2 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Jeffry Alexander's work include Alcohol Consumption and Health Effects (3 papers), Genetic Associations and Epidemiology (2 papers) and Metabolomics and Mass Spectrometry Studies (1 paper). Jeffry Alexander is often cited by papers focused on Alcohol Consumption and Health Effects (3 papers), Genetic Associations and Epidemiology (2 papers) and Metabolomics and Mass Spectrometry Studies (1 paper). Jeffry Alexander collaborates with scholars based in United States, Taiwan and Ireland. Jeffry Alexander's co-authors include Dermot Walsh, Carol A. Prescott, Kenneth S. Kendler, Gursharan Kalsi, Diana G. Patterson, Brien P. Riley, Po‐Hsiu Kuo, Colin A. Hodgkinson, Patrick F. Sullivan and David Goldman and has published in prestigious journals such as PLoS ONE, Human Molecular Genetics and Drug and Alcohol Dependence.

In The Last Decade

Jeffry Alexander

6 papers receiving 149 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeffry Alexander United States	4	68	63	39	39	25	7	149
Ya‐Min Tsai Taiwan	7	62 0.9×	7 0.1×	18 0.5×	15 0.4×	8 0.3×	16	236
Inmaculada Ruíz González Spain	7	24 0.4×	20 0.3×	54 1.4×	12 0.3×	27 1.1×	30	202
Feifei Wu China	10	102 1.5×	8 0.1×	24 0.6×	38 1.0×	19 0.8×	29	286
Sarah Hirschberg Germany	4	86 1.3×	32 0.5×	16 0.4×	9 0.2×	11 0.4×	6	169
Ondřej Lukšan Czechia	8	74 1.1×	6 0.1×	14 0.4×	42 1.1×	48 1.9×	21	170
Taylor Rice United States	9	158 2.3×	4 0.1×	16 0.4×	42 1.1×	16 0.6×	12	360
Simonne Longerich Canada	3	105 1.5×	19 0.3×	12 0.3×	79 2.0×	2 0.1×	4	163
Katherine Nash United Kingdom	6	87 1.3×	7 0.1×	11 0.3×	28 0.7×	32 1.3×	7	312
Katarzyna Kozioł Poland	8	33 0.5×	17 0.3×	4 0.1×	28 0.7×	3 0.1×	35	190

Countries citing papers authored by Jeffry Alexander

Since Specialization

Citations

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

Fields of papers citing papers by Jeffry Alexander

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffry Alexander

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

All Works

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7 of 7 papers shown

Alexander, Jeffry, Roseann E. Peterson, Michael F. Miles, et al.. (2023). Case-only exome variation analysis of severe alcohol dependence using a multivariate hierarchical gene clustering approach. PLoS ONE. 18(4). e0283985–e0283985. 2 indexed citations

Patterson, Diana G., David Goldman, Colin A. Hodgkinson, et al.. (2020). Associations of glutamate decarboxylase genes with initial sensitivity and age-at-onset of alcohol dependence in the Irish Affected Sib Pair Study of Alcohol Dependence. UNC Libraries.

Rajasekaran, P., Jeffry Alexander, Mohamed N. Seleem, et al.. (2013). Peptide nucleic acids inhibit growth of Brucella suis in pure culture and in infected murine macrophages. International Journal of Antimicrobial Agents. 41(4). 358–362. 35 indexed citations

Kalsi, Gursharan, Po‐Hsiu Kuo, Fazil Alıev, et al.. (2010). A systematic gene-based screen of chr4q22-q32 identifies association of a novel susceptibility gene, DKK2, with the quantitative trait of alcohol dependence symptom counts. Human Molecular Genetics. 19(20). 4121–4121. 2 indexed citations

Kalsi, Gursharan, Po‐Hsiu Kuo, Fazil Alıev, et al.. (2010). A systematic gene-based screen of chr4q22–q32 identifies association of a novel susceptibility gene, DKK2 , with the quantitative trait of alcohol dependence symptom counts. Human Molecular Genetics. 19(12). 2497–2506. 16 indexed citations

Kuo, Po‐Hsiu, Gursharan Kalsi, Carol A. Prescott, et al.. (2008). Association of ADH and ALDH Genes With Alcohol Dependence in the Irish Affected Sib Pair Study of Alcohol Dependence (IASPSAD) Sample. Alcoholism Clinical and Experimental Research. 32(5). 785–795. 64 indexed citations

Kuo, Po‐Hsiu, Gursharan Kalsi, Carol A. Prescott, et al.. (2008). Associations of glutamate decarboxylase genes with initial sensitivity and age-at-onset of alcohol dependence in the Irish Affected Sib Pair Study of Alcohol Dependence. Drug and Alcohol Dependence. 101(1-2). 80–87. 30 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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