Cem Kuscu
Impact in
- Aging top 2%
Papers in
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- CRISPR and Genetic Engineering 9
- Epigenetics and DNA Methylation 5
- RNA and protein synthesis mechanisms 4
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- Protease and Inhibitor Mechanisms 5
- MicroRNA in disease regulation 5
- Cancer, Hypoxia, and Metabolism 4
- Co-authors
- Mazhar Adli (14 shared papers)Ritambhara Singh (3 shared papers)Şevki Arslan (2 shared papers)Jeremy Thorpe (1 shared paper)Jian Cao (10 shared papers)Stanley Zucker (8 shared papers)Antoine Dufour (5 shared papers)Karol Szlachta (3 shared papers)
- Journals
- Cancer Research (3 papers)International Journal of Molecular Sciences (3 papers)Nature Methods (2 papers)Nature Communications (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesTürkiyeIndia
In The Last Decade
Cem Kuscu
38 papers receiving 2.4k citations
Cem Kuscu's Hit Papers
Peers
Comparison fields: 5 of 98
- Business and International Management 137
- Aging 117
- Cancer Research 506
- Molecular Biology 1.9k
- Oncology 345
Countries citing papers authored by Cem Kuscu
This map shows the geographic impact of Cem Kuscu'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 Cem Kuscu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cem Kuscu more than expected).
Fields of papers citing papers by Cem Kuscu
This network shows the impact of papers produced by Cem Kuscu. 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 Cem Kuscu. The network helps show where Cem Kuscu may publish in the future.
Co-authors
The 25 scholars most cited alongside Cem Kuscu, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Genome-wide analysis reveals characteristics of off-target sites bound by the Cas9 endonuclease Hit paper breakdown → | 2014 | 614 |
| 2 | 2017 | 271 | |
| 3 | 2017 | 190 | |
| 4 | 2015 | 178 | |
| 5 | 2011 | 167 | |
| 6 | 2015 | 148 | |
| 7 | 2010 | 120 | |
| 8 | 2013 | 111 | |
| 9 | 2011 | 104 | |
| 10 | 2020 | 63 | |
| 11 | 2015 | 58 | |
| 12 | 2018 | 57 | |
| 13 | 2012 | 56 | |
| 14 | 2018 | 30 | |
| 15 | 2019 | 29 | |
| 16 | 2023 | 25 | |
| 17 | 2020 | 23 | |
| 18 | 2016 | 19 | |
| 19 | 2018 | 19 | |
| 20 | 2012 | 17 |
About Cem Kuscu
Cem Kuscu is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Transplantation, having authored 38 papers that have together received 2.4k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (9 papers), Protease and Inhibitor Mechanisms (5 papers), Epigenetics and DNA Methylation (5 papers), Peptidase Inhibition and Analysis (5 papers), MicroRNA in disease regulation (5 papers), Renal Transplantation Outcomes and Treatments (4 papers), RNA and protein synthesis mechanisms (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Business and International Management (137 citations), Aging (117 citations), Cancer Research (506 citations), Molecular Biology (1.9k citations) and Oncology (345 citations). Cem Kuscu has collaborated with scholars based in United States, Türkiye and India. Frequent co-authors include Mazhar Adli, Ritambhara Singh, Şevki Arslan, Jeremy Thorpe, Jian Cao, Stanley Zucker, Antoine Dufour, Karol Szlachta, Mahmut Parlak and Nicole S. Sampson. Their work appears in journals such as Cancer Research, International Journal of Molecular Sciences, Nature Methods, Nature Communications and PLoS ONE.
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.