Sezen Vatansever
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
-
- Computational Drug Discovery Methods
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 4
- Protein Structure and Dynamics 2
- PI3K/AKT/mTOR signaling in cancer 2
- Bioinformatics and Genomic Networks 1
-
- Enzyme Structure and Function 4
- Co-authors
- Zeynep H. Gümüş (4 shared papers)Burak Erman (4 shared papers)Daniel Wacker (2 shared papers)Bin Zhang (4 shared papers)Avner Schlessinger (2 shared papers)Jian Jin (1 shared paper)Ming‐Ming Zhou (1 shared paper)H. Ümit Kanıskan (1 shared paper)
- Journals
- Scientific Reports (2 papers)Virology (1 paper)Journal of Biomedical Science (1 paper)Quantum Machine Intelligence (1 paper)Nature Structural & Molecular Biology (1 paper)
- Partner nations
- United StatesTürkiyeArgentina
In The Last Decade
Sezen Vatansever
10 papers receiving 455 citations
Sezen Vatansever's Hit Papers
Peers
Comparison fields: 5 of 106
- Health Informatics 32
- Computational Theory and Mathematics 108
- Molecular Biology 237
- Biophysics 17
- Health Information Management 11
Countries citing papers authored by Sezen Vatansever
This map shows the geographic impact of Sezen Vatansever'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 Sezen Vatansever with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sezen Vatansever more than expected).
Fields of papers citing papers by Sezen Vatansever
This network shows the impact of papers produced by Sezen Vatansever. 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 Sezen Vatansever. The network helps show where Sezen Vatansever may publish in the future.
Co-authors
The 25 scholars most cited alongside Sezen Vatansever, 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 | Artificial intelligence and machine learning‐aided drug discovery in central nervous system diseases: State‐of‐the‐arts and future directions Hit paper breakdown → | 2020 | 264 |
| 2 | 2019 | 66 | |
| 3 | 2020 | 45 | |
| 4 | 2016 | 26 | |
| 5 | 2015 | 24 | |
| 6 | 2017 | 23 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 1 | |
| 9 | 2018 | 1 | |
| 10 | 2024 | 1 | |
| 11 | 2023 | 0 |
About Sezen Vatansever
Sezen Vatansever is a scholar working on Molecular Biology, Materials Chemistry, Infectious Diseases, Computational Theory and Mathematics and Immunology, having authored 11 papers that have together received 462 indexed citations. Recurring topics across this work include Enzyme Structure and Function (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), interferon and immune responses (2 papers), Protein Structure and Dynamics (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Endoplasmic Reticulum Stress and Disease (1 paper), Bioinformatics and Genomic Networks (1 paper) and Viral Infections and Outbreaks Research (1 paper). The work is most often cited by research in Health Informatics (32 citations), Computational Theory and Mathematics (108 citations), Molecular Biology (237 citations), Biophysics (17 citations) and Health Information Management (11 citations). Sezen Vatansever has collaborated with scholars based in United States, Türkiye and Argentina. Frequent co-authors include Zeynep H. Gümüş, Burak Erman, Daniel Wacker, Bin Zhang, Avner Schlessinger, Jian Jin, Ming‐Ming Zhou, H. Ümit Kanıskan, Cybele C. Garcı́a and Mirta L. Fascio. Their work appears in journals such as Scientific Reports, Virology, Journal of Biomedical Science, Quantum Machine Intelligence and Nature Structural & Molecular Biology.
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.