Cagla Akay
Impact in
- Virology top 2%
- HIV Research and Treatment
- Biological Psychiatry top 10%
Papers in
- Virology 15
- HIV Research and Treatment 15
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- Immunotherapy and Immune Responses 6
- T-cell and B-cell Immunology 4
- Co-authors
- Yair Gazitt (13 shared papers)Kelly L. Jordan‐Sciutto (19 shared papers)Kathryn A. Lindl (6 shared papers)Michael G. White (4 shared papers)Patrick J. Gannon (3 shared papers)Dennis L. Kolson (7 shared papers)Yanfeng Wang (3 shared papers)Charles R. Thomas (2 shared papers)
- Journals
- Blood (4 papers)Journal of Neuroimmune Pharmacology (3 papers)Molecular and Cellular Neuroscience (2 papers)Stem Cells and Development (2 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesJordanMyanmar
In The Last Decade
Cagla Akay
33 papers receiving 849 citations
Peers
Comparison fields: 5 of 76
- Virology 312
- Biological Psychiatry 39
- Neurology 128
- Emergency Medicine 83
- Hematology 92
Countries citing papers authored by Cagla Akay
This map shows the geographic impact of Cagla Akay'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 Cagla Akay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cagla Akay more than expected).
Fields of papers citing papers by Cagla Akay
This network shows the impact of papers produced by Cagla Akay. 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 Cagla Akay. The network helps show where Cagla Akay may publish in the future.
Co-authors
The 25 scholars most cited alongside Cagla Akay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 161 | |
| 2 | 2020 | 88 | |
| 3 | 2007 | 58 | |
| 4 | 2007 | 52 | |
| 5 | 2004 | 51 | |
| 6 | 2005 | 48 | |
| 7 | 2007 | 45 | |
| 8 | 2011 | 38 | |
| 9 | 2017 | 38 | |
| 10 | 2018 | 34 | |
| 11 | Arsenic trioxide and paclitaxel induce apoptosis by different mechanisms. | 2004 | 31 |
| 12 | 2016 | 30 | |
| 13 | 2004 | 29 | |
| 14 | 2007 | 28 | |
| 15 | 2011 | 27 | |
| 16 | 2006 | 17 | |
| 17 | 2006 | 16 | |
| 18 | 2011 | 15 | |
| 19 | 2010 | 13 | |
| 20 | 2021 | 13 |
About Cagla Akay
Cagla Akay is a scholar working on Virology, Immunology, Neurology, Emergency Medicine and Cell Biology, having authored 36 papers that have together received 862 indexed citations. Recurring topics across this work include HIV Research and Treatment (15 papers), Immunotherapy and Immune Responses (6 papers), Retinoids in leukemia and cellular processes (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), HIV/AIDS Research and Interventions (4 papers), RNA regulation and disease (4 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Virology (312 citations), Biological Psychiatry (39 citations), Neurology (128 citations), Emergency Medicine (83 citations) and Hematology (92 citations). Cagla Akay has collaborated with scholars based in United States, Jordan and Myanmar. Frequent co-authors include Yair Gazitt, Kelly L. Jordan‐Sciutto, Kathryn A. Lindl, Michael G. White, Patrick J. Gannon, Dennis L. Kolson, Yanfeng Wang, Charles R. Thomas, Charles W. Thomas and César O. Freytes. Their work appears in journals such as Blood, Journal of Neuroimmune Pharmacology, Molecular and Cellular Neuroscience, Stem Cells and Development and Scientific Reports.
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.