Audrey Southwick

1.1k total citations
16 papers, 737 citations indexed

About

Audrey Southwick is a scholar working on Molecular Biology, Immunology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Audrey Southwick has authored 16 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Audrey Southwick's work include Atherosclerosis and Cardiovascular Diseases (3 papers), Genetic Associations and Epidemiology (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). Audrey Southwick is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (3 papers), Genetic Associations and Epidemiology (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). Audrey Southwick collaborates with scholars based in United States, Germany and United Kingdom. Audrey Southwick's co-authors include R Myers, Thomas Quertermous, Carlos Iribarren, Alan S. Go, Mark A. Hlatky, Joshua W. Knowles, Stephen P. Fortmann, Themistocles L. Assimes, Neil Risch and Debra Mohnen and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Plant Cell and Human Molecular Genetics.

In The Last Decade

Audrey Southwick

15 papers receiving 710 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Audrey Southwick United States 12 229 175 118 104 90 16 737
Hamdi Hamdi United States 12 317 1.4× 80 0.5× 106 0.9× 29 0.3× 84 0.9× 19 773
Masashi Nishikawa Japan 15 342 1.5× 77 0.4× 30 0.3× 48 0.5× 32 0.4× 70 767
Özlem Yıldırım Türkiye 17 594 2.6× 91 0.5× 109 0.9× 50 0.5× 17 0.2× 62 1.1k
Faiza Fakhfakh Tunisia 18 646 2.8× 257 1.5× 62 0.5× 64 0.6× 35 0.4× 128 1.2k
Bodo Brunner Germany 10 485 2.1× 234 1.3× 54 0.5× 110 1.1× 20 0.2× 19 921
Su Ryeon Seo South Korea 18 671 2.9× 67 0.4× 57 0.5× 105 1.0× 25 0.3× 46 1.0k
Sang Dai Park South Korea 17 948 4.1× 104 0.6× 101 0.9× 50 0.5× 47 0.5× 68 1.3k
Xiuying He China 13 289 1.3× 186 1.1× 445 3.8× 45 0.4× 36 0.4× 38 817
Aleksandra Jovanović Serbia 12 485 2.1× 32 0.2× 56 0.5× 87 0.8× 40 0.4× 23 875
De Li China 18 554 2.4× 113 0.6× 36 0.3× 62 0.6× 118 1.3× 46 1.0k

Countries citing papers authored by Audrey Southwick

Since Specialization
Citations

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

Fields of papers citing papers by Audrey Southwick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Audrey Southwick

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

All Works

16 of 16 papers shown
1.
Tulane, Sarah, et al.. (2022). “I’m Always Available”: Early Adolescent and Parent Perspectives of Parenting through Interactive Technology. SHILAP Revista de lepidopterología. 2(4). 746–758. 1 indexed citations
2.
McGuire, Valerie, Stephen K. Van Den Eeden, Caroline M. Tanner, et al.. (2011). Association of DRD2 and DRD3 polymorphisms with Parkinson's disease in a multiethnic consortium. Journal of the Neurological Sciences. 307(1-2). 22–29. 45 indexed citations
3.
Popat, Rita A., Stephen K. Van Den Eeden, Caroline M. Tanner, et al.. (2011). Coffee, ADORA2A, and CYP1A2: the caffeine connection in Parkinson’s disease. European Journal of Neurology. 18(5). 756–765. 92 indexed citations
4.
Dallongeville, Jean, Carlos Iribarren, Jean Ferrières, et al.. (2009). Peroxisome Proliferator‐Activated Receptor Gamma Polymorphisms and Coronary Heart Disease. PPAR Research. 2009(1). 543746–543746. 24 indexed citations
5.
Zakharia, Fouad, Analabha Basu, Devin Absher, et al.. (2009). Characterizing the admixed African ancestry of African Americans. Genome biology. 10(12). R141–R141. 118 indexed citations
6.
Chan, Yingguang Frank, Guadalupe Villarreal, Melissa E. Marks, et al.. (2009). S14-03 From trait to base pairs: Parallel evolution of pelvic reduction in three-spined sticklebacks occurs by repeated deletion of a tissue-specific pelvic enhancer at Pitx1. Mechanisms of Development. 126. S14–S15. 6 indexed citations
7.
Knowles, Joshua W., Themistocles L. Assimes, Eric Boerwinkle, et al.. (2008). Failure to replicate an association of SNPs in the oxidized LDL receptor gene (OLR1) with CAD. BMC Medical Genetics. 9(1). 23–23. 35 indexed citations
8.
Assimes, Themistocles L., Joshua W. Knowles, Analabha Basu, et al.. (2008). Common polymorphisms of ALOX5 and ALOX5AP and risk of coronary artery disease. Human Genetics. 123(4). 399–408. 45 indexed citations
9.
Assimes, Themistocles L., Joshua W. Knowles, Analabha Basu, et al.. (2008). Susceptibility locus for clinical and subclinical coronary artery disease at chromosome 9p21 in the multi-ethnic ADVANCE study. Human Molecular Genetics. 17(15). 2320–2328. 111 indexed citations
10.
Hlatky, Mark A., Euan A. Ashley, Thomas Quertermous, et al.. (2007). Matrix metalloproteinase circulating levels, genetic polymorphisms, and susceptibility to acute myocardial infarction among patients with coronary artery disease. American Heart Journal. 154(6). 1043–1051. 49 indexed citations
11.
Knowles, Joshua W., Haruka Itakura, Audrey Southwick, et al.. (2007). Association of polymorphisms in platelet and hemostasis system genes with acute myocardial infarction. American Heart Journal. 154(6). 1052–1058. 38 indexed citations
12.
Assimes, Themistocles L., Joshua W. Knowles, James R. Priest, et al.. (2007). A near null variant of 12/15-LOX encoded by a novel SNP in ALOX15 and the risk of coronary artery disease. Atherosclerosis. 198(1). 136–144. 43 indexed citations
13.
Iribarren, Carlos, Alan S. Go, Mark A. Hlatky, et al.. (2006). Mo-P6:419 A common novel SNP in the peroxisome proliferative activated receptor gamma gene is associated with early-onset coronary artery disease. Atherosclerosis Supplements. 7(3). 138–138. 1 indexed citations
14.
Eberhard, Stefan, Victòria Marfà, Debra Mohnen, et al.. (1989). Pectic Cell Wall Fragments Regulate Tobacco Thin-Cell-Layer Explant Morphogenesis.. The Plant Cell. 1(8). 747–755. 100 indexed citations
15.
Eberhard, Stefan, Victòria Marfà, Debra Mohnen, et al.. (1989). Pectic Cell Wall Fragments Regulate Tobacco Thin-Cell-Layer Explant Morphogenesis. The Plant Cell. 1(8). 747–747. 28 indexed citations
16.
Wilde, Walter S., Sandra J. Legan, & Audrey Southwick. (1968). Reabsorption of Albumin-Evans Blue Via Membrane Vesicles of Proximal Kidney Tubule Cells. Experimental Biology and Medicine. 127(3). 776–781. 1 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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