Ayla Ergün
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Modeling and Simulation top 2%
Papers in
-
- Genomics and Chromatin Dynamics 3
- RNA Research and Splicing 2
- Bioinformatics and Genomic Networks 2
- RNA modifications and cancer 2
-
- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 4
- Co-authors
- James J. Collins (3 shared papers)Diane Mathis (4 shared papers)Christophe Benoıst (4 shared papers)Michael A. Kohanski (1 shared paper)Timothy Brennan (1 shared paper)Jonathan A. Hill (2 shared papers)Ruslan I. Sadreyev (4 shared papers)Jessica Bowers (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Cell (2 papers)Nature Communications (1 paper)PLoS ONE (1 paper)IEEE Transactions on Biomedical Engineering (1 paper)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Ayla Ergün
20 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 116
- Cancer Research 343
- Modeling and Simulation 110
- Immunology 478
- Molecular Biology 838
- Neurology 75
Countries citing papers authored by Ayla Ergün
This map shows the geographic impact of Ayla Ergün'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 Ayla Ergün with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayla Ergün more than expected).
Fields of papers citing papers by Ayla Ergün
This network shows the impact of papers produced by Ayla Ergün. 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 Ayla Ergün. The network helps show where Ayla Ergün may publish in the future.
Co-authors
The 25 scholars most cited alongside Ayla Ergün, 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 | 2009 | 344 | |
| 2 | 2012 | 218 | |
| 3 | 2016 | 143 | |
| 4 | 2003 | 130 | |
| 5 | 2016 | 128 | |
| 6 | 2019 | 119 | |
| 7 | 2007 | 109 | |
| 8 | 2018 | 106 | |
| 9 | 2014 | 84 | |
| 10 | 2020 | 62 | |
| 11 | 2007 | 60 | |
| 12 | 2015 | 47 | |
| 13 | 2015 | 35 | |
| 14 | 2011 | 34 | |
| 15 | 2017 | 34 | |
| 16 | 2016 | 29 | |
| 17 | 2005 | 26 | |
| 18 | 2013 | 15 | |
| 19 | 2014 | 14 | |
| 20 | 2015 | 1 |
About Ayla Ergün
Ayla Ergün is a scholar working on Molecular Biology, Immunology, Genetics, Cancer Research and Cognitive Neuroscience, having authored 20 papers that have together received 1.7k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), Genomics and Chromatin Dynamics (3 papers), Diabetes and associated disorders (2 papers), RNA Research and Splicing (2 papers), Neural dynamics and brain function (2 papers), Bioinformatics and Genomic Networks (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (343 citations), Modeling and Simulation (110 citations), Immunology (478 citations), Molecular Biology (838 citations) and Neurology (75 citations). Ayla Ergün has collaborated with scholars based in United States, France and Canada. Frequent co-authors include James J. Collins, Diane Mathis, Christophe Benoıst, Michael A. Kohanski, Timothy Brennan, Jonathan A. Hill, Ruslan I. Sadreyev, Jessica Bowers, Frank Schembri and Gang Liu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell, Nature Communications, PLoS ONE and IEEE Transactions on Biomedical Engineering.
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.