Basak Icli
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Rehabilitation top 5%
- Wound Healing and Treatments
Papers in
-
- Circular RNAs in diseases 11
- Kruppel-like factors research 4
- Angiogenesis and VEGF in Cancer 4
- Cancer-related gene regulation 2
-
- MicroRNA in disease regulation 17
- Cancer-related molecular mechanisms research 11
- Co-authors
- Mark W. Feinberg (22 shared papers)Xinghui Sun (14 shared papers)Akm Khyrul Wara (12 shared papers)Nathan Belkin (3 shared papers)Shaolin He (4 shared papers)Timothy S. Blackwell (2 shared papers)Yu Zhang (2 shared papers)Lester Kobzik (1 shared paper)
- Journals
- Circulation Research (3 papers)The FASEB Journal (3 papers)Blood (3 papers)Genes (2 papers)Arteriosclerosis Thrombosis and Vascular Biology (2 papers)
- Partner nations
- United StatesTürkiyeBrazil
In The Last Decade
Basak Icli
27 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 95
- Cancer Research 952
- Rehabilitation 149
- Molecular Biology 1.2k
- Immunology 330
- Genetics 119
Countries citing papers authored by Basak Icli
This map shows the geographic impact of Basak Icli'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 Basak Icli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Basak Icli more than expected).
Fields of papers citing papers by Basak Icli
This network shows the impact of papers produced by Basak Icli. 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 Basak Icli. The network helps show where Basak Icli may publish in the future.
Co-authors
The 25 scholars most cited alongside Basak Icli, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 394 | |
| 2 | 2013 | 247 | |
| 3 | 2013 | 179 | |
| 4 | 2017 | 142 | |
| 5 | 2010 | 132 | |
| 6 | 2016 | 111 | |
| 7 | 2016 | 101 | |
| 8 | 2019 | 84 | |
| 9 | 2009 | 80 | |
| 10 | 2014 | 72 | |
| 11 | 2019 | 56 | |
| 12 | 2020 | 54 | |
| 13 | 2011 | 41 | |
| 14 | 2011 | 40 | |
| 15 | 2016 | 37 | |
| 16 | 2017 | 33 | |
| 17 | 2021 | 19 | |
| 18 | 2013 | 17 | |
| 19 | 2008 | 16 | |
| 20 | 2017 | 16 |
About Basak Icli
Basak Icli is a scholar working on Molecular Biology, Cancer Research, Genetics, Hematology and Physiology, having authored 27 papers that have together received 1.9k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (17 papers), Cancer-related molecular mechanisms research (11 papers), Circular RNAs in diseases (11 papers), Kruppel-like factors research (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Adipose Tissue and Metabolism (3 papers), Mesenchymal stem cell research (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Cancer Research (952 citations), Rehabilitation (149 citations), Molecular Biology (1.2k citations), Immunology (330 citations) and Genetics (119 citations). Basak Icli has collaborated with scholars based in United States, Türkiye and Brazil. Frequent co-authors include Mark W. Feinberg, Xinghui Sun, Akm Khyrul Wara, Nathan Belkin, Shaolin He, Timothy S. Blackwell, Yu Zhang, Lester Kobzik, Gary M. Hunninghake and Rebecca M. Baron. Their work appears in journals such as Circulation Research, The FASEB Journal, Blood, Genes and Arteriosclerosis Thrombosis and Vascular Biology.
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.