Serdar Durdağı
Impact in
- Pharmacology top 0.5%
- Cholinesterase and Neurodegenerative Diseases
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
-
- Computational Drug Discovery Methods 61
-
- Synthesis and biological activity 19
- Synthesis and Catalytic Reactions 12
- Co-authors
- Ramin Ekhteiari SalmasThomas MavromoustakosClaudiu T. SupuranSergei Y. NoskovΜάνθος Γ. ΠαπαδόπουλοςSüleyman GöksuHenry J. DuffMine Yurtsever
In The Last Decade
Serdar Durdağı
191 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 128
- Pharmacology 968
- Computational Theory and Mathematics 896
- Organic Chemistry 1.3k
- Molecular Biology 2.5k
- Physical and Theoretical Chemistry 213
Countries citing papers authored by Serdar Durdağı
This map shows the geographic impact of Serdar Durdağı'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 Serdar Durdağı with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serdar Durdağı more than expected).
Fields of papers citing papers by Serdar Durdağı
This network shows the impact of papers produced by Serdar Durdağı. 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 Serdar Durdağı. The network helps show where Serdar Durdağı may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Serdar Durdağı, 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 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 4 | |
| 7 | 2022 | 5 | |
| 8 | 2021 | 13 | |
| 9 | 2021 | 4 | |
| 10 | 2021 | 8 | |
| 11 | 2020 | 4 | |
| 12 | 2019 | 20 | |
| 13 | 2018 | 42 | |
| 14 | 2018 | 81 | |
| 15 | 2018 | 23 | |
| 16 | 2017 | 32 | |
| 17 | 2015 | 17 | |
| 18 | 2014 | 1 | |
| 19 | 2013 | 2 | |
| 20 | Putative bioactive conformers of small molecules: A concerted approach using NMR spectroscopy and computational chemistry [Abstract] | 2007 | 1 |
About Serdar Durdağı
Serdar Durdağı is a scholar working on Computational Theory and Mathematics, Organic Chemistry, Pharmacology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 194 papers that have together received 4.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (61 papers), Receptor Mechanisms and Signaling (42 papers), Enzyme function and inhibition (28 papers), Cholinesterase and Neurodegenerative Diseases (25 papers), Synthesis and biological activity (19 papers), Cardiac electrophysiology and arrhythmias (18 papers), Ion channel regulation and function (14 papers) and Synthesis and Catalytic Reactions (12 papers). The work is most often cited by research in Pharmacology (968 citations), Computational Theory and Mathematics (896 citations), Organic Chemistry (1.3k citations), Molecular Biology (2.5k citations) and Physical and Theoretical Chemistry (213 citations). Serdar Durdağı has collaborated with scholars based in Türkiye, Canada and Greece. Frequent co-authors include Ramin Ekhteiari Salmas, Thomas Mavromoustakos, Claudiu T. Supuran, Sergei Y. Noskov, Μάνθος Γ. Παπαδόπουλος, Süleyman Göksu, Henry J. Duff, Mine Yurtsever, İlhami Gülçın and Deniz Ekinci. Their work appears in journals such as Journal of Molecular Graphics and Modelling, Journal of Biomolecular Structure and Dynamics, Journal of Chemical Information and Modeling, Journal of Enzyme Inhibition and Medicinal Chemistry and Bioorganic & Medicinal Chemistry.
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.