Ayça Erbilgin

678 total citations
8 papers, 242 citations indexed

About

Ayça Erbilgin is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Ayça Erbilgin has authored 8 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Ayça Erbilgin's work include Atherosclerosis and Cardiovascular Diseases (4 papers), Genetic Associations and Epidemiology (3 papers) and interferon and immune responses (1 paper). Ayça Erbilgin is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (4 papers), Genetic Associations and Epidemiology (3 papers) and interferon and immune responses (1 paper). Ayça Erbilgin collaborates with scholars based in United States, Sweden and France. Ayça Erbilgin's co-authors include Aldons J. Lusis, Judith A. Berliner, Mete Civelek, Raffi Hagopian, Casey E. Romanoski, Calvin Pan, Roger Lawrence, Christopher K. Glass, Nathan O. Siemers and Wen-Pin Yang and has published in prestigious journals such as Cell Metabolism, Arteriosclerosis Thrombosis and Vascular Biology and Journal of Lipid Research.

In The Last Decade

Ayça Erbilgin

8 papers receiving 237 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ayça Erbilgin United States 7 132 74 45 43 37 8 242
Shaofeng Wang China 10 167 1.3× 107 1.4× 43 1.0× 27 0.6× 48 1.3× 18 309
Alexandra Charos United States 4 163 1.2× 35 0.5× 37 0.8× 23 0.5× 42 1.1× 5 289
David G. McVey United Kingdom 7 105 0.8× 42 0.6× 32 0.7× 13 0.3× 35 0.9× 13 188
Daniela Pirri United Kingdom 7 111 0.8× 66 0.9× 16 0.4× 37 0.9× 66 1.8× 8 249
Liangfang Yao China 7 168 1.3× 74 1.0× 25 0.6× 30 0.7× 50 1.4× 12 247
Manuel Rogg Germany 10 211 1.6× 92 1.2× 55 1.2× 42 1.0× 23 0.6× 22 350
Jameel Syed United States 9 96 0.7× 51 0.7× 51 1.1× 15 0.3× 16 0.4× 13 252
Frederick Briccetti United States 3 105 0.8× 44 0.6× 13 0.3× 24 0.6× 41 1.1× 4 206
Raymond E. Menard United States 8 238 1.8× 35 0.5× 23 0.5× 39 0.9× 43 1.2× 8 362
Jinping Lu China 10 172 1.3× 25 0.3× 50 1.1× 29 0.7× 62 1.7× 12 296

Countries citing papers authored by Ayça Erbilgin

Since Specialization
Citations

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

Fields of papers citing papers by Ayça Erbilgin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayça Erbilgin

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

All Works

8 of 8 papers shown
1.
Erbilgin, Ayça, Marcus Seldin, Xiuju Wu, et al.. (2018). Transcription Factor Zhx2 Deficiency Reduces Atherosclerosis and Promotes Macrophage Apoptosis in Mice. Arteriosclerosis Thrombosis and Vascular Biology. 38(9). 2016–2027. 26 indexed citations
2.
Gordts, Philip L.S.M., Erin M. Foley, Roger Lawrence, et al.. (2014). Reducing Macrophage Proteoglycan Sulfation Increases Atherosclerosis and Obesity through Enhanced Type I Interferon Signaling. Cell Metabolism. 20(5). 813–826. 64 indexed citations
3.
Erbilgin, Ayça, Mete Civelek, Casey E. Romanoski, et al.. (2013). Identification of CAD candidate genes in GWAS loci and their expression in vascular cells. Journal of Lipid Research. 54(7). 1894–1905. 67 indexed citations
4.
Erbilgin, Ayça, Nathan O. Siemers, Paul S. Kayne, et al.. (2013). Gene Expression Analyses of Mouse Aortic Endothelium in Response to Atherogenic Stimuli. Arteriosclerosis Thrombosis and Vascular Biology. 33(11). 2509–2517. 27 indexed citations
5.
Bennett, Brian J., Luz D. Orozco, Emrah Kostem, et al.. (2012). High-Resolution Association Mapping of Atherosclerosis Loci in Mice. Arteriosclerosis Thrombosis and Vascular Biology. 32(8). 1790–1798. 13 indexed citations
6.
Erbilgin, Ayça. (2012). Gene expression of cell types present in the vascular wall during the initiation and progression of atherosclerosis. eScholarship (California Digital Library). 1 indexed citations
7.
Gargalovic, Peter S., Ayça Erbilgin, Omid Kohannim, et al.. (2009). Quantitative Trait Locus Mapping and Identification of Zhx2 as a Novel Regulator of Plasma Lipid Metabolism. Circulation Cardiovascular Genetics. 3(1). 60–67. 33 indexed citations
8.
Ireland, James, Victoria Carlton, Martin Moorhead, et al.. (2005). Large-scale characterization of public database SNPs causing non-synonymous changes in three ethnic groups. Human Genetics. 119(1-2). 75–83. 11 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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