Adem Polat
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
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- Digital Radiography and Breast Imaging 4
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- Advanced X-ray and CT Imaging 3
- 3D Printing in Biomedical Research 3
- Co-authors
- Önder Tutsoy (3 shared papers)Erkan Demirkaya (10 shared papers)Seza Özen (6 shared papers)Turan Tunç (4 shared papers)Gökhan Kalkan (1 shared paper)İsmail Dursun (3 shared papers)Harun Peru (3 shared papers)Faysal Gök (4 shared papers)
- Journals
- Pediatric Rheumatology (3 papers)Biomedical Signal Processing and Control (3 papers)Lara D. Veeken (2 papers)IEEE Access (2 papers)Breastfeeding Medicine (1 paper)
- Partner nations
- TürkiyeUnited StatesPortugal
In The Last Decade
Adem Polat
29 papers receiving 224 citations
Peers
Comparison fields: 5 of 90
- Modeling and Simulation 22
- Biophysics 10
- Radiology, Nuclear Medicine and Imaging 28
- Nephrology 6
- Molecular Biology 61
Countries citing papers authored by Adem Polat
This map shows the geographic impact of Adem Polat'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 Adem Polat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adem Polat more than expected).
Fields of papers citing papers by Adem Polat
This network shows the impact of papers produced by Adem Polat. 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 Adem Polat. The network helps show where Adem Polat may publish in the future.
Co-authors
The 25 scholars most cited alongside Adem Polat, 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 | 2021 | 34 | |
| 2 | 2020 | 30 | |
| 3 | 2020 | 27 | |
| 4 | 2011 | 21 | |
| 5 | 2014 | 19 | |
| 6 | 2019 | 13 | |
| 7 | 2016 | 12 | |
| 8 | 2019 | 11 | |
| 9 | 2018 | 7 | |
| 10 | 2018 | 6 | |
| 11 | The invisible part of the iceberg: qualitative aspects of childhood vasculitis. | 2014 | 5 |
| 12 | 2016 | 5 | |
| 13 | 2021 | 5 | |
| 14 | 2012 | 5 | |
| 15 | 2022 | 4 | |
| 16 | 2016 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2014 | 3 | |
| 19 | 2016 | 2 | |
| 20 | 2011 | 2 |
About Adem Polat
Adem Polat is a scholar working on Pulmonary and Respiratory Medicine, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Immunology and Molecular Biology, having authored 33 papers that have together received 229 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (4 papers), Digital Radiography and Breast Imaging (4 papers), Inflammasome and immune disorders (4 papers), Advanced X-ray and CT Imaging (3 papers), COVID-19 epidemiological studies (3 papers), Autoimmune and Inflammatory Disorders Research (3 papers), 3D Printing in Biomedical Research (3 papers) and Adolescent and Pediatric Healthcare (2 papers). The work is most often cited by research in Modeling and Simulation (22 citations), Biophysics (10 citations), Radiology, Nuclear Medicine and Imaging (28 citations), Nephrology (6 citations) and Molecular Biology (61 citations). Adem Polat has collaborated with scholars based in Türkiye, United States and Portugal. Frequent co-authors include Önder Tutsoy, Erkan Demirkaya, Seza Özen, Turan Tunç, Gökhan Kalkan, İsmail Dursun, Harun Peru, Faysal Gök, Yu Shrike Zhang and Cengiz Açıkel. Their work appears in journals such as Pediatric Rheumatology, Biomedical Signal Processing and Control, Lara D. Veeken, IEEE Access and Breastfeeding Medicine.
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.