Ali Sinan Saglam

481 total citations
7 papers, 212 citations indexed

About

Ali Sinan Saglam is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Ali Sinan Saglam has authored 7 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Materials Chemistry and 2 papers in Computational Theory and Mathematics. Recurrent topics in Ali Sinan Saglam's work include Protein Structure and Dynamics (4 papers), Enzyme Structure and Function (3 papers) and Bioinformatics and Genomic Networks (2 papers). Ali Sinan Saglam is often cited by papers focused on Protein Structure and Dynamics (4 papers), Enzyme Structure and Function (3 papers) and Bioinformatics and Genomic Networks (2 papers). Ali Sinan Saglam collaborates with scholars based in United States. Ali Sinan Saglam's co-authors include Lillian T. Chong, Daniel M. Zuckerman, Dawei Wang, Matthew C. Zwier, Fabian Fröhlich, Alex Dickson, Anthony T. Bogetti, Tüomas Sandholm, Alex J. DeGrave and Barmak Mostofian and has published in prestigious journals such as The Journal of Physical Chemistry B, Chemical Science and Current Opinion in Structural Biology.

In The Last Decade

Ali Sinan Saglam

7 papers receiving 212 citations

Peers

Ali Sinan Saglam
Ido Ben‐Shalom United States
Ivan Teo United States
Arghya Chakravorty United States
Douglas J. Ierardi United States
Ali Sinan Saglam
Citations per year, relative to Ali Sinan Saglam Ali Sinan Saglam (= 1×) peers Roberto Menichetti

Countries citing papers authored by Ali Sinan Saglam

Since Specialization
Citations

This map shows the geographic impact of Ali Sinan Saglam'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 Ali Sinan Saglam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Sinan Saglam more than expected).

Fields of papers citing papers by Ali Sinan Saglam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali Sinan Saglam. 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 Ali Sinan Saglam. The network helps show where Ali Sinan Saglam may publish in the future.

Co-authorship network of co-authors of Ali Sinan Saglam

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Sinan Saglam. A scholar is included among the top collaborators of Ali Sinan Saglam 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 Ali Sinan Saglam. Ali Sinan Saglam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
García, Guadalupe C., Ali Sinan Saglam, James R. Faeder, et al.. (2024). MCell4 with BioNetGen: A Monte Carlo simulator of rule-based reaction-diffusion systems with Python interface. PLoS Computational Biology. 20(4). e1011800–e1011800. 5 indexed citations
2.
Farina, Gabriele, et al.. (2021). Combination treatment optimization using a pan-cancer pathway model. PLoS Computational Biology. 17(12). e1009689–e1009689. 9 indexed citations
3.
Bogetti, Anthony T., Barmak Mostofian, Alex Dickson, et al.. (2019). A Suite of Tutorials for the WESTPA Rare-Events Sampling Software [Article v1.0]. PubMed. 1(2). 10607–10607. 25 indexed citations
4.
Saglam, Ali Sinan & Lillian T. Chong. (2018). Protein–protein binding pathways and calculations of rate constants using fully-continuous, explicit-solvent simulations. Chemical Science. 10(8). 2360–2372. 59 indexed citations
5.
Saglam, Ali Sinan, Dawei Wang, Matthew C. Zwier, & Lillian T. Chong. (2017). Flexibility vs Preorganization: Direct Comparison of Binding Kinetics for a Disordered Peptide and Its Exact Preorganized Analogues. The Journal of Physical Chemistry B. 121(43). 10046–10054. 17 indexed citations
6.
Chong, Lillian T., Ali Sinan Saglam, & Daniel M. Zuckerman. (2016). Path-sampling strategies for simulating rare events in biomolecular systems. Current Opinion in Structural Biology. 43. 88–94. 74 indexed citations
7.
Saglam, Ali Sinan & Lillian T. Chong. (2015). Highly Efficient Computation of the Basal kon using Direct Simulation of Protein–Protein Association with Flexible Molecular Models. The Journal of Physical Chemistry B. 120(1). 117–122. 23 indexed citations

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.

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