Olgun Guvench
- Molecular Biology top 1%
- Materials Chemistry top 5%
- Organic Chemistry top 1%
- Computational Theory and Mathematics top 0.2%
- Atomic and Molecular Physics, and Optics top 2%
- Co-authors
- Alexander D. MacKerellElizabeth HatcherKenno VanommeslaeghePedro E. M. LopesEva DarianJ. ShimChitrangada AcharyaIgor Vorobyov
- Topics
- Protein Structure and Dynamics (31 papers)Enzyme Structure and Function (17 papers)Glycosylation and Glycoproteins Research (14 papers)
- Journals
- Journal of the American Chemical SocietyJournal of Molecular BiologyThe Journal of Physical Chemistry B
- Partner nations
- United StatesIndiaChina
In The Last Decade
Olgun Guvench
52 papers receiving 9.3k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Molecular Biology 5.7k
- Materials Chemistry 1.6k
- Organic Chemistry 1.4k
- Computational Theory and Mathematics 1.2k
- Atomic and Molecular Physics, and Optics 1.1k
Countries citing papers authored by Olgun Guvench
This map shows the geographic impact of Olgun Guvench'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 Olgun Guvench with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olgun Guvench more than expected).
Fields of papers citing papers by Olgun Guvench
This network shows the impact of papers produced by Olgun Guvench. 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 Olgun Guvench. The network helps show where Olgun Guvench may publish in the future.
Co-authorship network of co-authors of Olgun Guvench
This figure shows the co-authorship network connecting the top 25 collaborators of Olgun Guvench. A scholar is included among the top collaborators of Olgun Guvench based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Olgun Guvench. Olgun Guvench is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 11 | |
| 5 | 42 | |
| 6 | 27 | |
| 7 | 140 | |
| 8 | 86 | |
| 9 | 40 | |
| 10 | 19 | |
| 11 | 23 | |
| 12 | 32 | |
| 13 | 24 | |
| 14 | 2 | |
| 15 | 69 | |
| 16 | CHARMM general force field: A force field for drug‐like molecules compatible with the CHARMM all‐atom additive biological force fieldsbreakdown → | 5554 |
| 17 | 175 | |
| 18 | 477 | |
| 19 | 98 | |
| 20 | 28 |
About Olgun Guvench
Olgun Guvench is a scholar working on Cell Biology, Molecular Biology and Computational Theory and Mathematics, having authored 53 papers that have together received 9.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (31 papers), Enzyme Structure and Function (17 papers) and Glycosylation and Glycoproteins Research (14 papers). The work is most often cited by research in Molecular Biology (5.7k citations), Computational Theory and Mathematics (1.2k citations) and Organic Chemistry (1.4k citations). Olgun Guvench has collaborated with scholars based in United States, India and China. Frequent co-authors include Alexander D. MacKerell, Elizabeth Hatcher, Kenno Vanommeslaeghe, Pedro E. M. Lopes, Eva Darian, J. Shim, Chitrangada Acharya, Igor Vorobyov, Subhas C. Kundu and Shan Zhong. Their work appears in journals such as Journal of the American Chemical Society, Journal of Molecular Biology and The Journal of Physical Chemistry B.
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.