Hasan Oğul
Impact in
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- Parkinson's Disease Mechanisms and Treatments
Papers in
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- Machine Learning in Bioinformatics 11
- Gene expression and cancer classification 11
- RNA and protein synthesis mechanisms 7
- Bioinformatics and Genomic Networks 7
- Co-authors
- Tunç Aşuroğlu (9 shared papers)Koray Açıcı (7 shared papers)Çağatay Berke Erdaş (5 shared papers)E.U. Mumcuoglu (3 shared papers)Hamit Erdem (1 shared paper)Ricardo Colomo‐Palacios (4 shared papers)Alejandro Baldominos (4 shared papers)Roseline Oluwaseun Ogundokun (1 shared paper)
In The Last Decade
Hasan Oğul
51 papers receiving 551 citations
Peers
Comparison fields: 5 of 120
- Neurology 64
- Health Informatics 6
- Health Information Management 19
- Computer Vision and Pattern Recognition 87
- Artificial Intelligence 117
Countries citing papers authored by Hasan Oğul
This map shows the geographic impact of Hasan Oğul'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 Hasan Oğul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hasan Oğul more than expected).
Fields of papers citing papers by Hasan Oğul
This network shows the impact of papers produced by Hasan Oğul. 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 Hasan Oğul. The network helps show where Hasan Oğul may publish in the future.
Co-authors
The 25 scholars most cited alongside Hasan Oğul, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 69 | |
| 2 | 2018 | 63 | |
| 3 | 2022 | 40 | |
| 4 | 2022 | 39 | |
| 5 | 2020 | 36 | |
| 6 | 2023 | 33 | |
| 7 | 2006 | 26 | |
| 8 | 2020 | 25 | |
| 9 | 2015 | 18 | |
| 10 | 2019 | 16 | |
| 11 | 2009 | 15 | |
| 12 | 2015 | 14 | |
| 13 | 2006 | 13 | |
| 14 | 2018 | 12 | |
| 15 | 2007 | 11 | |
| 16 | 2017 | 10 | |
| 17 | 2019 | 9 | |
| 18 | 2014 | 7 | |
| 19 | 2011 | 7 | |
| 20 | 2020 | 7 |
About Hasan Oğul
Hasan Oğul is a scholar working on Molecular Biology, Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Signal Processing, having authored 52 papers that have together received 562 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (11 papers), Gene expression and cancer classification (11 papers), RNA and protein synthesis mechanisms (7 papers), Bioinformatics and Genomic Networks (7 papers), COVID-19 diagnosis using AI (5 papers), MicroRNA in disease regulation (5 papers), Video Analysis and Summarization (4 papers) and Context-Aware Activity Recognition Systems (4 papers). The work is most often cited by research in Neurology (64 citations), Health Informatics (6 citations), Health Information Management (19 citations), Computer Vision and Pattern Recognition (87 citations) and Artificial Intelligence (117 citations). Hasan Oğul has collaborated with scholars based in Türkiye, Norway and Spain. Frequent co-authors include Tunç Aşuroğlu, Koray Açıcı, Çağatay Berke Erdaş, E.U. Mumcuoglu, Hamit Erdem, Ricardo Colomo‐Palacios, Alejandro Baldominos, Roseline Oluwaseun Ogundokun, Sanjay Misra and Emre Sümer. Their work appears in journals such as Biosystems, Molecular Informatics, Computer Methods and Programs in Biomedicine, Journal of Applied Biomedicine and Biochemical and Biophysical Research Communications.
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.