Umut Aypar
Impact in
-
- Cancer Genomics and Diagnostics
-
- Acute Myeloid Leukemia Research
Papers in
-
- Epigenetics and DNA Methylation 5
- Genetics 9
- Genomic variations and chromosomal abnormalities 6
- Chronic Lymphocytic Leukemia Research 4
- Genetic Syndromes and Imprinting 4
- Co-authors
- Janet E. Baulch (3 shared papers)William F. Morgan (3 shared papers)Nicole L. Hoppman (9 shared papers)Robert B. Jenkins (4 shared papers)Hutton M. Kearney (3 shared papers)Stephanie A. Smoley (3 shared papers)George Vasmatzis (3 shared papers)James B. Smadbeck (3 shared papers)
- Journals
- Molecular Cytogenetics (2 papers)European Journal of Medical Genetics (2 papers)Journal of Molecular Diagnostics (2 papers)Genes Chromosomes and Cancer (2 papers)Blood (2 papers)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Umut Aypar
30 papers receiving 546 citations
Peers
Comparison fields: 5 of 74
- Cancer Research 118
- Hematology 63
- Genetics 127
- Molecular Biology 273
- Sensory Systems 19
Countries citing papers authored by Umut Aypar
This map shows the geographic impact of Umut Aypar'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 Umut Aypar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umut Aypar more than expected).
Fields of papers citing papers by Umut Aypar
This network shows the impact of papers produced by Umut Aypar. 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 Umut Aypar. The network helps show where Umut Aypar may publish in the future.
Co-authors
The 25 scholars most cited alongside Umut Aypar, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 97 | |
| 2 | 2010 | 68 | |
| 3 | 2017 | 61 | |
| 4 | 2020 | 50 | |
| 5 | 2018 | 41 | |
| 6 | 2013 | 35 | |
| 7 | 2018 | 29 | |
| 8 | 2016 | 27 | |
| 9 | 2015 | 21 | |
| 10 | 2014 | 16 | |
| 11 | 2017 | 14 | |
| 12 | 2017 | 14 | |
| 13 | 2021 | 10 | |
| 14 | 2017 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2017 | 8 | |
| 17 | 2014 | 7 | |
| 18 | 2014 | 7 | |
| 19 | 2016 | 7 | |
| 20 | 2016 | 6 |
About Umut Aypar
Umut Aypar is a scholar working on Molecular Biology, Genetics, Genetics, Pathology and Forensic Medicine and Pediatrics, Perinatology and Child Health, having authored 33 papers that have together received 557 indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (6 papers), Lymphoma Diagnosis and Treatment (6 papers), Genomic variations and chromosomal abnormalities (6 papers), Epigenetics and DNA Methylation (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Genetic Syndromes and Imprinting (4 papers), Cancer Genomics and Diagnostics (4 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Cancer Research (118 citations), Hematology (63 citations), Genetics (127 citations), Molecular Biology (273 citations) and Sensory Systems (19 citations). Umut Aypar has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Janet E. Baulch, William F. Morgan, Nicole L. Hoppman, Robert B. Jenkins, Hutton M. Kearney, Stephanie A. Smoley, George Vasmatzis, James B. Smadbeck, Roman M. Zenka and Beth A. Pitel. Their work appears in journals such as Molecular Cytogenetics, European Journal of Medical Genetics, Journal of Molecular Diagnostics, Genes Chromosomes and Cancer and Blood.
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.