Mert Gür
Impact in
- Structural Biology top 10%
- Molecular Biology top 10%
- Protein Structure and Dynamics
- Cancer-related gene regulation
- Epigenetics and DNA Methylation
- RNA and protein synthesis mechanisms
Papers in
-
- Protein Structure and Dynamics 20
- Lipid Membrane Structure and Behavior 4
-
- Microtubule and mitosis dynamics 7
- Co-authors
- İvet Bahar (13 shared papers)Elia Zomot (4 shared papers)Mert Gölcük (12 shared papers)Ahmet Yıldız (10 shared papers)Mary Hongying Cheng (3 shared papers)Jeffry D. Madura (1 shared paper)Gözde Eskici (1 shared paper)Lidio Meireles (1 shared paper)
- Journals
- The Journal of Chemical Physics (5 papers)Biophysical Journal (3 papers)The Journal of Physical Chemistry B (2 papers)PLoS ONE (2 papers)Science Advances (2 papers)
- Partner nations
- TürkiyeUnited StatesUnited Kingdom
In The Last Decade
Mert Gür
35 papers receiving 983 citations
Peers
Comparison fields: 5 of 83
- Structural Biology 26
- Molecular Biology 731
- Infectious Diseases 158
- Cell Biology 123
- Computational Theory and Mathematics 101
Countries citing papers authored by Mert Gür
This map shows the geographic impact of Mert Gür'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 Mert Gür with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mert Gür more than expected).
Fields of papers citing papers by Mert Gür
This network shows the impact of papers produced by Mert Gür. 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 Mert Gür. The network helps show where Mert Gür may publish in the future.
Co-authors
The 25 scholars most cited alongside Mert Gür, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 121 | |
| 2 | 2014 | 101 | |
| 3 | 2020 | 98 | |
| 4 | 2011 | 79 | |
| 5 | 2013 | 67 | |
| 6 | 2013 | 64 | |
| 7 | 2022 | 62 | |
| 8 | 2019 | 45 | |
| 9 | 2014 | 40 | |
| 10 | 2013 | 40 | |
| 11 | 2021 | 37 | |
| 12 | 2015 | 34 | |
| 13 | 2019 | 33 | |
| 14 | 2022 | 26 | |
| 15 | 2017 | 19 | |
| 16 | 2018 | 15 | |
| 17 | 2009 | 13 | |
| 18 | 2021 | 11 | |
| 19 | 2022 | 9 | |
| 20 | 2010 | 9 |
About Mert Gür
Mert Gür is a scholar working on Molecular Biology, Cell Biology, Materials Chemistry, Infectious Diseases and Atomic and Molecular Physics, and Optics, having authored 37 papers that have together received 987 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (20 papers), Microtubule and mitosis dynamics (7 papers), Enzyme Structure and Function (7 papers), Computational Drug Discovery Methods (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Spectroscopy and Quantum Chemical Studies (5 papers), Lipid Membrane Structure and Behavior (4 papers) and Micro and Nano Robotics (4 papers). The work is most often cited by research in Structural Biology (26 citations), Molecular Biology (731 citations), Infectious Diseases (158 citations), Cell Biology (123 citations) and Computational Theory and Mathematics (101 citations). Mert Gür has collaborated with scholars based in Türkiye, United States and United Kingdom. Frequent co-authors include İvet Bahar, Elia Zomot, Mert Gölcük, Ahmet Yıldız, Mary Hongying Cheng, Jeffry D. Madura, Gözde Eskici, Lidio Meireles, Ahmet Bakan and Yong Wan. Their work appears in journals such as The Journal of Chemical Physics, Biophysical Journal, The Journal of Physical Chemistry B, PLoS ONE and Science Advances.
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.