Cihangir Duy
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 18
- Chronic Myeloid Leukemia Treatments 11
- Acute Myeloid Leukemia Research 4
- Hematopoietic Stem Cell Transplantation 3
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- Histone Deacetylase Inhibitors Research 4
- Epigenetics and DNA Methylation 3
- Co-authors
- Jörg Fitter (2 shared papers)Ari Melnick (15 shared papers)Markus Müschen (17 shared papers)Hassan Jumaa (13 shared papers)Gregor von Levetzow (6 shared papers)Wolf‐Karsten Hofmann (11 shared papers)Meng Li (3 shared papers)Niklas Feldhahn (3 shared papers)
- Journals
- Blood (17 papers)Cancer Discovery (2 papers)The Journal of Experimental Medicine (2 papers)Cancer Cell (2 papers)Cancer Research (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Cihangir Duy
28 papers receiving 942 citations
Peers
Comparison fields: 5 of 90
- Hematology 225
- Genetics 126
- Geriatrics and Gerontology 45
- Immunology 208
- Molecular Biology 520
Countries citing papers authored by Cihangir Duy
This map shows the geographic impact of Cihangir Duy'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 Cihangir Duy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cihangir Duy more than expected).
Fields of papers citing papers by Cihangir Duy
This network shows the impact of papers produced by Cihangir Duy. 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 Cihangir Duy. The network helps show where Cihangir Duy may publish in the future.
Co-authors
The 25 scholars most cited alongside Cihangir Duy, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 153 | |
| 2 | 2006 | 143 | |
| 3 | 2009 | 120 | |
| 4 | 2009 | 91 | |
| 5 | 2019 | 87 | |
| 6 | 2005 | 76 | |
| 7 | 2007 | 70 | |
| 8 | 2018 | 60 | |
| 9 | 2011 | 48 | |
| 10 | 2013 | 27 | |
| 11 | 2023 | 22 | |
| 12 | 2021 | 18 | |
| 13 | 2020 | 12 | |
| 14 | 2009 | 8 | |
| 15 | 2009 | 3 | |
| 16 | 2017 | 3 | |
| 17 | 2010 | 2 | |
| 18 | 2009 | 2 | |
| 19 | 2009 | 1 | |
| 20 | 2020 | 1 |
About Cihangir Duy
Cihangir Duy is a scholar working on Hematology, Molecular Biology, Public Health, Environmental and Occupational Health, Genetics and Immunology, having authored 30 papers that have together received 955 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (14 papers), Chronic Myeloid Leukemia Treatments (11 papers), Chronic Lymphocytic Leukemia Research (7 papers), Acute Myeloid Leukemia Research (4 papers), Histone Deacetylase Inhibitors Research (4 papers), Epigenetics and DNA Methylation (3 papers), CAR-T cell therapy research (3 papers) and Hematopoietic Stem Cell Transplantation (3 papers). The work is most often cited by research in Hematology (225 citations), Genetics (126 citations), Geriatrics and Gerontology (45 citations), Immunology (208 citations) and Molecular Biology (520 citations). Cihangir Duy has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Jörg Fitter, Ari Melnick, Markus Müschen, Hassan Jumaa, Gregor von Levetzow, Wolf‐Karsten Hofmann, Meng Li, Niklas Feldhahn, Lars Klemm and Nadine Henke. Their work appears in journals such as Blood, Cancer Discovery, The Journal of Experimental Medicine, Cancer Cell and Cancer Research.
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.