Ayça Erbilgin
Impact in
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- Atherosclerosis and Cardiovascular Diseases
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- Proteoglycans and glycosaminoglycans research
Papers in
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- Atherosclerosis and Cardiovascular Diseases 4
- interferon and immune responses 1
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- Machine Learning in Bioinformatics 1
- RNA and protein synthesis mechanisms 1
- Co-authors
- Aldons J. Lusis (5 shared papers)Judith A. Berliner (2 shared papers)Calvin Pan (1 shared paper)Raffi Hagopian (1 shared paper)Casey E. Romanoski (1 shared paper)Mete Civelek (1 shared paper)Joseph L. Witztum (1 shared paper)Philip L.S.M. Gordts (1 shared paper)
- Journals
- Arteriosclerosis Thrombosis and Vascular Biology (3 papers)Journal of Lipid Research (1 paper)Cell Metabolism (1 paper)Human Genetics (1 paper)Circulation Cardiovascular Genetics (1 paper)
- Partner nations
- United StatesFranceSweden
In The Last Decade
Ayça Erbilgin
8 papers receiving 237 citations
Peers
Comparison fields: 5 of 52
- Immunology 74
- Cell Biology 43
- Cancer Research 37
- Immunology and Allergy 12
- Molecular Biology 132
Countries citing papers authored by Ayça Erbilgin
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
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-authors
The 25 scholars most cited alongside Ayça Erbilgin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 67 | |
| 2 | 2014 | 64 | |
| 3 | 2009 | 33 | |
| 4 | 2013 | 27 | |
| 5 | 2018 | 26 | |
| 6 | 2012 | 13 | |
| 7 | 2005 | 11 | |
| 8 | Gene expression of cell types present in the vascular wall during the initiation and progression of atherosclerosis | 2012 | 1 |
About Ayça Erbilgin
Ayça Erbilgin is a scholar working on Immunology, Molecular Biology, Genetics, Cellular and Molecular Neuroscience and Oncology, having authored 8 papers that have together received 242 indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (4 papers), Genetic Associations and Epidemiology (3 papers), Machine Learning in Bioinformatics (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Genetic and phenotypic traits in livestock (1 paper), interferon and immune responses (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Immunology (74 citations), Cell Biology (43 citations), Cancer Research (37 citations), Immunology and Allergy (12 citations) and Molecular Biology (132 citations). Ayça Erbilgin has collaborated with scholars based in United States, France and Sweden. Frequent co-authors include Aldons J. Lusis, Judith A. Berliner, Calvin Pan, Raffi Hagopian, Casey E. Romanoski, Mete Civelek, Joseph L. Witztum, Philip L.S.M. Gordts, Aldons J. Lusis and Erin M. Foley. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Journal of Lipid Research, Cell Metabolism, Human Genetics and Circulation Cardiovascular Genetics.
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.