Oktay Kirak
- Cancer Research top 2%
- MicroRNA in disease regulation 3
- Cell Biology top 1%
- Molecular Biology top 5%
- Pluripotent Stem Cells Research 6
- CRISPR and Genetic Engineering 3
- Aging top 10%
- Immunology top 5%
- Immune Cell Function and Interaction 4
- T-cell and B-cell Immunology 3
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- Pancreatic function and diabetes 5
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- Cytomegalovirus and herpesvirus research 4
- Autophagy in Disease and Therapy 3
- Co-authors
- Thijn R. BrummelkampRudolf JaenischSandra Stehling-SunMarian H. HarrisJonathan B. JohnnidisFernando D. CamargoRobert T. WheelerMichael Lam
- Partner nations
- United StatesGermanySingapore
In The Last Decade
Oktay Kirak
24 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Cancer Research 892
- Cell Biology 929
- Molecular Biology 2.0k
- Aging 38
- Immunology 448
Countries citing papers authored by Oktay Kirak
This map shows the geographic impact of Oktay Kirak'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 Oktay Kirak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oktay Kirak more than expected).
Fields of papers citing papers by Oktay Kirak
This network shows the impact of papers produced by Oktay Kirak. 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 Oktay Kirak. The network helps show where Oktay Kirak may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Oktay Kirak, 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 | 2020 | 2 | |
| 2 | 2020 | 55 | |
| 3 | 2014 | 71 | |
| 4 | Rag GTPase-mediated regulation of mTORC1 by nutrients is necessary for neonatal autophagy and survival | 2012 | 1 |
| 5 | 2012 | 355 | |
| 6 | 2012 | 17 | |
| 7 | 2012 | 35 | |
| 8 | Reprogramming of postnatal neurons into induced pluripotent stem cells by defined factors | 2011 | 1 |
| 9 | 2011 | 16 | |
| 10 | Yap1 Acts Downstream of α-Catenin to Control Epidermal Proliferationbreakdown → | 2011 | 836 |
| 11 | 2011 | 53 | |
| 12 | 2011 | 82 | |
| 13 | 2011 | 130 | |
| 14 | 2010 | 46 | |
| 15 | Transnuclear Mice with Pre-defined T Cell Receptor Specificities Against Toxoplasma gondii Obtained via SCNT | 2010 | 7 |
| 16 | 2010 | 9 | |
| 17 | 2009 | 454 | |
| 18 | Regulation of progenitor cell proliferation and granulocyte function by microRNA-223breakdown → | 2008 | 978 |
| 19 | 2007 | 100 | |
| 20 | 2007 | 3 |
About Oktay Kirak
Oktay Kirak is a scholar working on Parasitology, Immunology and Epidemiology, having authored 24 papers that have together received 3.3k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), Pancreatic function and diabetes (5 papers), Immune Cell Function and Interaction (4 papers), Cytomegalovirus and herpesvirus research (4 papers), MicroRNA in disease regulation (3 papers), Autophagy in Disease and Therapy (3 papers), CRISPR and Genetic Engineering (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Cancer Research (892 citations), Cell Biology (929 citations) and Molecular Biology (2.0k citations). Oktay Kirak has collaborated with scholars based in United States, Germany and Singapore. Frequent co-authors include Thijn R. Brummelkamp, Rudolf Jaenisch, Sandra Stehling-Sun, Marian H. Harris, Jonathan B. Johnnidis, Fernando D. Camargo, Robert T. Wheeler, Michael Lam, Mark D. Fleming and Heikyung Suh. Their work appears in journals such as Nature, Science and Cell.
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.