Mete Civelek
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Immunology top 2%
- Atherosclerosis and Cardiovascular Diseases
- Phagocytosis and Immune Regulation
Papers in
-
- Bioinformatics and Genomic Networks 9
- Peroxisome Proliferator-Activated Receptors 8
- Epigenetics and DNA Methylation 5
- Genetics 21
- Genetic Associations and Epidemiology 12
- Genetic Mapping and Diversity in Plants and Animals 4
- Co-authors
- Aldons J. Lusis (25 shared papers)Peter F. Davies (8 shared papers)Yun Fang (7 shared papers)Elisabetta Manduchi (4 shared papers)Congzhu Shi (2 shared papers)Ingrid Fleming (1 shared paper)Christian J. Stoeckert (4 shared papers)Rebecca Riley (3 shared papers)
- Journals
- Circulation Research (7 papers)Diabetes (4 papers)PLoS Genetics (4 papers)Journal of Lipid Research (3 papers)Circulation (3 papers)
- Partner nations
- United StatesFinlandGermany
In The Last Decade
Mete Civelek
83 papers receiving 4.6k citations
Mete Civelek's Hit Papers
Peers
Comparison fields: 5 of 132
- Cancer Research 728
- Immunology 892
- Molecular Biology 2.3k
- Physiology 573
- Genetics 641
Countries citing papers authored by Mete Civelek
This map shows the geographic impact of Mete Civelek'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 Mete Civelek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mete Civelek more than expected).
Fields of papers citing papers by Mete Civelek
This network shows the impact of papers produced by Mete Civelek. 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 Mete Civelek. The network helps show where Mete Civelek may publish in the future.
Co-authors
The 25 scholars most cited alongside Mete Civelek, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CD47-blocking antibodies restore phagocytosis and prevent atherosclerosis Hit paper breakdown → | 2016 | 510 |
| 2 | Systems genetics approaches to understand complex traits Hit paper breakdown → | 2013 | 433 |
| 3 | 2010 | 370 | |
| 4 | 2013 | 239 | |
| 5 | 2012 | 208 | |
| 6 | 2009 | 183 | |
| 7 | 2013 | 144 | |
| 8 | 2017 | 140 | |
| 9 | 2015 | 123 | |
| 10 | 2015 | 104 | |
| 11 | 2011 | 103 | |
| 12 | 2016 | 103 | |
| 13 | 2013 | 98 | |
| 14 | 2016 | 96 | |
| 15 | 2015 | 93 | |
| 16 | 2018 | 81 | |
| 17 | 2015 | 81 | |
| 18 | 2017 | 78 | |
| 19 | 2015 | 77 | |
| 20 | 2021 | 76 |
About Mete Civelek
Mete Civelek is a scholar working on Molecular Biology, Genetics, Physiology, Immunology and Cancer Research, having authored 86 papers that have together received 4.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (12 papers), Genetic Associations and Epidemiology (12 papers), Atherosclerosis and Cardiovascular Diseases (11 papers), Cancer-related molecular mechanisms research (9 papers), Bioinformatics and Genomic Networks (9 papers), Peroxisome Proliferator-Activated Receptors (8 papers), Epigenetics and DNA Methylation (5 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). The work is most often cited by research in Cancer Research (728 citations), Immunology (892 citations), Molecular Biology (2.3k citations), Physiology (573 citations) and Genetics (641 citations). Mete Civelek has collaborated with scholars based in United States, Finland and Germany. Frequent co-authors include Aldons J. Lusis, Peter F. Davies, Yun Fang, Elisabetta Manduchi, Congzhu Shi, Ingrid Fleming, Christian J. Stoeckert, Rebecca Riley, Clint L. Miller and Eric E. Schadt. Their work appears in journals such as Circulation Research, Diabetes, PLoS Genetics, Journal of Lipid Research and Circulation.
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.