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
- Single-cell and spatial transcriptomics 2
- RNA Research and Splicing 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)Christophe Benoıst (4 shared papers)Diane Mathis (4 shared papers)Michael A. Kohanski (1 shared paper)Timothy Brennan (1 shared paper)Jonathan A. Hill (2 shared papers)Avrum Spira (1 shared paper)Jerome S. Brody (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Cell (2 papers)Scientific Reports (1 paper)Journal of Neurophysiology (1 paper)Journal of Allergy and Clinical Immunology (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Ayla Ergün
20 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 118
- Cancer Research 372
- Modeling and Simulation 111
- Immunology 508
- Molecular Biology 888
- 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 | 342 | |
| 2 | 2012 | 216 | |
| 3 | 2016 | 141 | |
| 4 | 2003 | 130 | |
| 5 | 2016 | 124 | |
| 6 | 2019 | 111 | |
| 7 | 2007 | 109 | |
| 8 | 2018 | 103 | |
| 9 | 2014 | 81 | |
| 10 | 2020 | 61 | |
| 11 | 2007 | 59 | |
| 12 | 2015 | 47 | |
| 13 | 2011 | 34 | |
| 14 | 2017 | 34 | |
| 15 | 2015 | 33 | |
| 16 | 2016 | 29 | |
| 17 | 2005 | 26 | |
| 18 | 2014 | 14 | |
| 19 | 2013 | 14 | |
| 20 | 2015 | 1 |
About Ayla Ergün
Ayla Ergün is a scholar working on Molecular Biology, Immunology, Genetics, Cancer Research and Surgery, 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), Single-cell and spatial transcriptomics (2 papers), RNA Research and Splicing (2 papers), Cancer-related molecular mechanisms research (2 papers), Diabetes and associated disorders (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (372 citations), Modeling and Simulation (111 citations), Immunology (508 citations), Molecular Biology (888 citations) and Neurology (75 citations). Ayla Ergün has collaborated with scholars based in United States, Canada and France. Frequent co-authors include James J. Collins, Christophe Benoıst, Diane Mathis, Michael A. Kohanski, Timothy Brennan, Jonathan A. Hill, Avrum Spira, Jerome S. Brody, Ruslan I. Sadreyev and Robert Getts. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell, Scientific Reports, Journal of Neurophysiology and Journal of Allergy and Clinical Immunology.
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.