İrem Doğan
Impact in
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- Sirtuins and Resveratrol in Medicine
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- Cancer, Hypoxia, and Metabolism
Papers in
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- Metabolism, Diabetes, and Cancer 4
- Melanoma and MAPK Pathways 2
- PI3K/AKT/mTOR signaling in cancer 2
- Oncology 6
- Cancer-related Molecular Pathways 5
- Co-authors
- Abdullah Ekmekçi (9 shared papers)Tuba Çandar (4 shared papers)Ece Konaç (3 shared papers)Aysel Arıcıoğlu (2 shared papers)Ahmet Cumaoğlu (2 shared papers)Can Öztürk (2 shared papers)Hacer İlke Önen (3 shared papers)Selda Demırtaş (2 shared papers)
- Journals
- Molecular Biology Reports (3 papers)Journal of Cellular Biochemistry (2 papers)DNA and Cell Biology (1 paper)Biochimie (1 paper)Molecular and Cellular Biochemistry (1 paper)
- Partner nations
- TürkiyeUnited StatesSwitzerland
In The Last Decade
İrem Doğan
19 papers receiving 277 citations
Peers
Comparison fields: 5 of 66
- Geriatrics and Gerontology 13
- Cancer Research 47
- Oncology 57
- Pathology and Forensic Medicine 37
- Aging 4
Countries citing papers authored by İrem Doğan
This map shows the geographic impact of İrem Doğan'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 İrem Doğan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites İrem Doğan more than expected).
Fields of papers citing papers by İrem Doğan
This network shows the impact of papers produced by İrem Doğan. 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 İrem Doğan. The network helps show where İrem Doğan may publish in the future.
Co-authors
The 25 scholars most cited alongside İrem Doğan, 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 | 2018 | 35 | |
| 2 | 2011 | 34 | |
| 3 | Polymorphisms in the vitamin D receptor gene and risk of lung cancer. | 2009 | 34 |
| 4 | 2009 | 27 | |
| 5 | 2014 | 26 | |
| 6 | 2010 | 24 | |
| 7 | 2011 | 21 | |
| 8 | 2024 | 13 | |
| 9 | 2015 | 12 | |
| 10 | 2017 | 10 | |
| 11 | 2018 | 9 | |
| 12 | 2019 | 7 | |
| 13 | 2008 | 7 | |
| 14 | 2022 | 6 | |
| 15 | 2022 | 5 | |
| 16 | Flavopiridol Induces Apoptosis via Mitochondrial Pathway in B16F10 Murine Melanoma Cells and a Subcutaneous Melanoma Tumor Model. | 2016 | 4 |
| 17 | 2024 | 3 | |
| 18 | 2018 | 2 | |
| 19 | 2017 | 2 | |
| 20 | 2025 | 0 |
About İrem Doğan
İrem Doğan is a scholar working on Molecular Biology, Oncology, Surgery, Public Health, Environmental and Occupational Health and Cell Biology, having authored 20 papers that have together received 281 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Melanoma and MAPK Pathways (2 papers), Microtubule and mitosis dynamics (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Pancreatic function and diabetes (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Geriatrics and Gerontology (13 citations), Cancer Research (47 citations), Oncology (57 citations), Pathology and Forensic Medicine (37 citations) and Aging (4 citations). İrem Doğan has collaborated with scholars based in Türkiye, United States and Switzerland. Frequent co-authors include Abdullah Ekmekçi, Tuba Çandar, Ece Konaç, Aysel Arıcıoğlu, Ahmet Cumaoğlu, Can Öztürk, Hacer İlke Önen, Selda Demırtaş, Phillip A. Dennis and Ahmet Selim Yurdakul. Their work appears in journals such as Molecular Biology Reports, Journal of Cellular Biochemistry, DNA and Cell Biology, Biochimie and Molecular and Cellular Biochemistry.
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.