Mohammad M. Sultan

1.5k total citations
25 papers, 980 citations indexed

About

Mohammad M. Sultan is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Mohammad M. Sultan has authored 25 papers receiving a total of 980 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Materials Chemistry and 4 papers in Computational Theory and Mathematics. Recurrent topics in Mohammad M. Sultan's work include Protein Structure and Dynamics (12 papers), Mass Spectrometry Techniques and Applications (3 papers) and Enzyme Structure and Function (3 papers). Mohammad M. Sultan is often cited by papers focused on Protein Structure and Dynamics (12 papers), Mass Spectrometry Techniques and Applications (3 papers) and Enzyme Structure and Function (3 papers). Mohammad M. Sultan collaborates with scholars based in United States, Poland and Canada. Mohammad M. Sultan's co-authors include Vijay S. Pande, Brooke E. Husic, Carlos X. Hernández, Robert T. McGibbon, Víctor S. Batista, Ivan Rivalta, J. Patrick Loria, Gregory A. Manley, Matthew P. Harrigan and Gert Kiss and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Mohammad M. Sultan

21 papers receiving 967 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mohammad M. Sultan United States 12 787 320 204 121 104 25 980
Jesper Ferkinghoff‐Borg Denmark 21 1.3k 1.6× 348 1.1× 143 0.7× 114 0.9× 185 1.8× 40 1.6k
Michael E. Wall United States 26 1.4k 1.7× 539 1.7× 133 0.7× 149 1.2× 162 1.6× 71 1.8k
Alex Dickson United States 22 990 1.3× 270 0.8× 326 1.6× 178 1.5× 143 1.4× 60 1.3k
Daniel L. Ensign United States 12 822 1.0× 354 1.1× 82 0.4× 225 1.9× 198 1.9× 14 1.2k
Antonia S. J. S. Mey United Kingdom 17 787 1.0× 294 0.9× 336 1.6× 140 1.2× 153 1.5× 37 1.0k
Timothy R. Lezon United States 13 1.3k 1.6× 334 1.0× 203 1.0× 111 0.9× 141 1.4× 24 1.6k
Shunzhou Wan United Kingdom 22 950 1.2× 283 0.9× 440 2.2× 103 0.9× 116 1.1× 50 1.3k
Dennis R. Livesay United States 23 1.1k 1.4× 300 0.9× 168 0.8× 48 0.4× 50 0.5× 55 1.3k
Joseph A. Bank United States 7 1.2k 1.5× 490 1.5× 176 0.9× 283 2.3× 278 2.7× 10 1.7k

Countries citing papers authored by Mohammad M. Sultan

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad M. Sultan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad M. Sultan. 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 Mohammad M. Sultan. The network helps show where Mohammad M. Sultan may publish in the future.

Co-authorship network of co-authors of Mohammad M. Sultan

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

All Works

20 of 20 papers shown
1.
Lubeck, Eric, Mohammad M. Sultan, Zachary F. Phillips, et al.. (2025). A pooled Cell Painting CRISPR screening platform enables de novo inference of gene function by self-supervised deep learning. Nature Communications. 17(1). 77–77.
2.
Sultan, Mohammad M., et al.. (2024). Compositional Deep Probabilistic Models of DNA-Encoded Libraries. Journal of Chemical Information and Modeling. 64(4). 1123–1133. 3 indexed citations
3.
4.
Sultan, Mohammad M., et al.. (2023). A Prospective Randomized Controlled Study of Indirect Fiber-reinforced Composite Resin-bonded Bridges with New Clinical Techniques. SHILAP Revista de lepidopterología. 12(2). 54–58.
5.
Shmilovich, Kirill, et al.. (2023). DEL-Dock: Molecular Docking-Enabled Modeling of DNA-Encoded Libraries. Journal of Chemical Information and Modeling. 63(9). 2719–2727. 14 indexed citations
6.
Sultan, Mohammad M., et al.. (2021). The Reachable Set of a Drone: Exploring the Position Isochrones for a Quadcopter. 7679–7685. 1 indexed citations
7.
Sultan, Amira M., et al.. (2019). Healthcare Associated Infections Caused by Gram-negative Bacilli in Adult Intensive Care Units: Identification of AmpC Beta-Lactamases Mediated Antimicrobial Resistance. The Egyptian Journal of Medical Microbiology. 28(2). 61–68. 2 indexed citations
8.
Sultan, Mohammad M. & Vijay S. Pande. (2018). Decision functions from supervised machine learning algorithms as collective variables for accelerating molecular simulations.. arXiv (Cornell University). 1 indexed citations
9.
Hernández, Carlos X., Hannah K. Wayment-Steele, Mohammad M. Sultan, Brooke E. Husic, & Vijay S. Pande. (2018). Variational encoding of complex dynamics. Physical review. E. 97(6). 62412–62412. 104 indexed citations
10.
Sultan, Mohammad M., Gert Kiss, & Vijay S. Pande. (2018). Towards simple kinetic models of functional dynamics for a kinase subfamily. Nature Chemistry. 10(9). 903–909. 51 indexed citations
11.
Sultan, Mohammad M., R. Aldrin Denny, Ray Unwalla, Frank Lovering, & Vijay S. Pande. (2017). Millisecond dynamics of BTK reveal kinome-wide conformational plasticity within the apo kinase domain. Scientific Reports. 7(1). 15604–15604. 38 indexed citations
12.
Harrigan, Matthew P., Mohammad M. Sultan, Carlos X. Hernández, et al.. (2017). MSMBuilder: Statistical Models for Biomolecular Dynamics. Biophysical Journal. 112(1). 10–15. 193 indexed citations
13.
Husic, Brooke E., Keri A. McKiernan, Hannah K. Wayment-Steele, Mohammad M. Sultan, & Vijay S. Pande. (2017). A Minimum Variance Clustering Approach Produces Robust and Interpretable Coarse-Grained Models. Journal of Chemical Theory and Computation. 14(2). 1071–1082. 11 indexed citations
14.
Hernández, Carlos X., Matthew P. Harrigan, Mohammad M. Sultan, & Vijay S. Pande. (2017). MSMExplorer: Data Visualizations for Biomolecular Dynamics. The Journal of Open Source Software. 2(12). 188–188. 10 indexed citations
15.
Sultan, Mohammad M. & Vijay S. Pande. (2017). Transfer Learning from Markov Models Leads to Efficient Sampling of Related Systems. The Journal of Physical Chemistry B. 122(21). 5291–5299. 10 indexed citations
16.
Husic, Brooke E., Robert T. McGibbon, Mohammad M. Sultan, & Vijay S. Pande. (2016). Optimized parameter selection reveals trends in Markov state models for protein folding. The Journal of Chemical Physics. 145(19). 194103–194103. 42 indexed citations
17.
McGibbon, Robert T., Carlos X. Hernández, Matthew P. Harrigan, et al.. (2016). osprey: Osprey 1.0.0. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
18.
McGibbon, Robert T., Carlos X. Hernández, Matthew P. Harrigan, et al.. (2016). Osprey: Hyperparameter Optimization for Machine Learning. The Journal of Open Source Software. 1(5). 34–34. 28 indexed citations
19.
McGibbon, Robert T., Bharath Ramsundar, Mohammad M. Sultan, Gert Kiss, & Vijay S. Pande. (2014). Understanding Protein Dynamics with L1-Regularized Reversible Hidden Markov Models. arXiv (Cornell University). 1197–1205. 7 indexed citations
20.
Rivalta, Ivan, et al.. (2012). Allosteric pathways in imidazole glycerol phosphate synthase. Proceedings of the National Academy of Sciences. 109(22). E1428–36. 181 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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