Muzaffer Cicek
Impact in
- Oncology top 10%
- Peptidase Inhibition and Analysis
- Pathology and Forensic Medicine top 10%
- Cancer Mechanisms and Therapy
Papers in
-
- Bone Metabolism and Diseases 8
- TGF-β signaling in diseases 5
- Mechanisms of cancer metastasis 5
- Oncology 11
- Bone health and treatments 6
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Graham Casey (8 shared papers)Nywana Sizemore (6 shared papers)Danny R. Welch (5 shared papers)Merry Jo Oursler (5 shared papers)Ryuichi Fukuyama (4 shared papers)Steven T. Sizemore (3 shared papers)Kwok Peng Ng (2 shared papers)Malayannan Subramaniam (8 shared papers)
- Journals
- PLoS ONE (4 papers)Cancer Research (3 papers)Clinical & Experimental Metastasis (2 papers)Molecular Carcinogenesis (1 paper)Journal of Cellular Biochemistry (1 paper)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Muzaffer Cicek
19 papers receiving 946 citations
Peers
Comparison fields: 5 of 82
- Oncology 296
- Pathology and Forensic Medicine 191
- Molecular Biology 708
- Cancer Research 151
- Immunology and Allergy 43
Countries citing papers authored by Muzaffer Cicek
This map shows the geographic impact of Muzaffer Cicek'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 Muzaffer Cicek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muzaffer Cicek more than expected).
Fields of papers citing papers by Muzaffer Cicek
This network shows the impact of papers produced by Muzaffer Cicek. 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 Muzaffer Cicek. The network helps show where Muzaffer Cicek may publish in the future.
Co-authors
The 25 scholars most cited alongside Muzaffer Cicek, 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 | 2004 | 156 | |
| 2 | 2007 | 103 | |
| 3 | 2005 | 100 | |
| 4 | 2007 | 99 | |
| 5 | 2006 | 78 | |
| 6 | 2006 | 45 | |
| 7 | 2011 | 43 | |
| 8 | 2004 | 41 | |
| 9 | 2013 | 40 | |
| 10 | 2009 | 39 | |
| 11 | 2011 | 38 | |
| 12 | 2011 | 37 | |
| 13 | 2006 | 35 | |
| 14 | 2007 | 32 | |
| 15 | 2010 | 25 | |
| 16 | 2017 | 20 | |
| 17 | 2013 | 18 | |
| 18 | 2014 | 6 | |
| 19 | 2005 | 4 |
About Muzaffer Cicek
Muzaffer Cicek is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Organic Chemistry, having authored 19 papers that have together received 959 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (8 papers), Bone health and treatments (6 papers), TGF-β signaling in diseases (5 papers), Mechanisms of cancer metastasis (5 papers), Estrogen and related hormone effects (4 papers), Ferrocene Chemistry and Applications (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Cancer Mechanisms and Therapy (2 papers). The work is most often cited by research in Oncology (296 citations), Pathology and Forensic Medicine (191 citations), Molecular Biology (708 citations), Cancer Research (151 citations) and Immunology and Allergy (43 citations). Muzaffer Cicek has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Graham Casey, Nywana Sizemore, Danny R. Welch, Merry Jo Oursler, Ryuichi Fukuyama, Steven T. Sizemore, Kwok Peng Ng, Malayannan Subramaniam, John R. Hawse and Anju Agarwal. Their work appears in journals such as PLoS ONE, Cancer Research, Clinical & Experimental Metastasis, Molecular Carcinogenesis and Journal of 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.