Canan Atılgan
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- Computational Drug Discovery Methods 8
- Molecular Biology top 10%
- Protein Structure and Dynamics 32
- RNA and protein synthesis mechanisms 8
- Molecular Medicine top 10%
- Materials Chemistry top 10%
- Enzyme Structure and Function 20
- Block Copolymer Self-Assembly 6
- Polymers and Plastics top 10%
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- Advanced Polymer Synthesis and Characterization 6
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- Bacterial Genetics and Biotechnology 5
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- Force Microscopy Techniques and Applications 4
- Co-authors
- Ali Rana AtılganÖzlem Taştan BishopDavid L. PenklerAlimet Sema ÖzenHaleh AbdizadehZ. Nevin GerekS. Banu OzkanCaroline Jane Ross
- Journals
- Journal of Chemical Information and Modeling (8 papers)Biophysical Journal (7 papers)The Journal of Physical Chemistry B (4 papers)
- Partner nations
- TürkiyeUnited StatesSouth Africa
In The Last Decade
Canan Atılgan
65 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 116
- Computational Theory and Mathematics 267
- Molecular Biology 1.0k
- Molecular Medicine 58
- Materials Chemistry 421
- Polymers and Plastics 113
Countries citing papers authored by Canan Atılgan
This map shows the geographic impact of Canan Atılgan'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 Canan Atılgan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Canan Atılgan more than expected).
Fields of papers citing papers by Canan Atılgan
This network shows the impact of papers produced by Canan Atılgan. 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 Canan Atılgan. The network helps show where Canan Atılgan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Canan Atılgan, 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 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 8 | |
| 5 | 2021 | 62 | |
| 6 | 2021 | 8 | |
| 7 | 2020 | 2 | |
| 8 | 2020 | 5 | |
| 9 | 2019 | 18 | |
| 10 | 2018 | 39 | |
| 11 | 2018 | 15 | |
| 12 | 2017 | 12 | |
| 13 | 2017 | 17 | |
| 14 | 2015 | 21 | |
| 15 | 2013 | 14 | |
| 16 | 2012 | 11 | |
| 17 | 2010 | 48 | |
| 18 | 2010 | 14 | |
| 19 | 2009 | 180 | |
| 20 | 2007 | 42 |
About Canan Atılgan
Canan Atılgan is a scholar working on Structural Biology, Molecular Biology and Materials Chemistry, having authored 67 papers that have together received 1.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (32 papers), Enzyme Structure and Function (20 papers), RNA and protein synthesis mechanisms (8 papers), Computational Drug Discovery Methods (8 papers), Advanced Polymer Synthesis and Characterization (6 papers), Block Copolymer Self-Assembly (6 papers), Bacterial Genetics and Biotechnology (5 papers) and Force Microscopy Techniques and Applications (4 papers). The work is most often cited by research in Computational Theory and Mathematics (267 citations), Molecular Biology (1.0k citations) and Molecular Medicine (58 citations). Canan Atılgan has collaborated with scholars based in Türkiye, United States and South Africa. Frequent co-authors include Ali Rana Atılgan, Özlem Taştan Bishop, David L. Penkler, Alimet Sema Özen, Haleh Abdizadeh, Z. Nevin Gerek, S. Banu Ozkan, Caroline Jane Ross, Özge Şensoy and Olivier Sheik Amamuddy. Their work appears in journals such as Journal of Chemical Information and Modeling, Biophysical Journal, The Journal of Physical Chemistry B, The Journal of Chemical Physics and Physical Chemistry Chemical Physics.
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.