Sugyan M. Dixit

2.7k total citations · 2 hit papers
18 papers, 1.1k citations indexed

About

Sugyan M. Dixit is a scholar working on Molecular Biology, Materials Chemistry and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sugyan M. Dixit has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Materials Chemistry and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sugyan M. Dixit's work include Protein Structure and Dynamics (13 papers), Enzyme Structure and Function (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Sugyan M. Dixit is often cited by papers focused on Protein Structure and Dynamics (13 papers), Enzyme Structure and Function (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Sugyan M. Dixit collaborates with scholars based in United States, Canada and Israel. Sugyan M. Dixit's co-authors include Ken A. Dill, David L. Mobley, Philippe H. Hünenberger, Brian K. Shoichet, S.E. Boyce, Alex Ford, Inna Goreshnik, Lauren Carter, David Baker and C.H. Arrowsmith and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Sugyan M. Dixit

18 papers receiving 1.1k citations

Hit Papers

Global analysis of protein folding using massively parall... 2017 2026 2020 2023 2017 2023 100 200 300

Peers

Sugyan M. Dixit
Brian N. Dominy United States
Patrick Weinkam United States
Michael S. Marlow United States
Chuan Li United States
Pilar Cossio Germany
Levi Pierce United States
Maxim Shatsky United States
Brian N. Dominy United States
Sugyan M. Dixit
Citations per year, relative to Sugyan M. Dixit Sugyan M. Dixit (= 1×) peers Brian N. Dominy

Countries citing papers authored by Sugyan M. Dixit

Since Specialization
Citations

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

Fields of papers citing papers by Sugyan M. Dixit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sugyan M. Dixit

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

All Works

18 of 18 papers shown
1.
Wang, Haobo, et al.. (2024). Disentanglement of Evolutionary Constraints in Statistical Models of Proteins. 2(2). 1 indexed citations
2.
Karim, Ashty S., Ludmilla Aristilde, Yogesh Goyal, et al.. (2024). Deconstructing synthetic biology across scales: a conceptual approach for training synthetic biologists. Nature Communications. 15(1). 5425–5425. 6 indexed citations
3.
Park, Sojeong, Scott Houliston, Jennifer Liddle, et al.. (2024). Heat‐induced structural and chemical changes to a computationally designed miniprotein. Protein Science. 33(6). e4991–e4991. 2 indexed citations
4.
Tsuboyama, Kotaro, Justas Dauparas, Jonathan H. Chen, et al.. (2023). Mega-scale experimental analysis of protein folding stability in biology and design. Nature. 620(7973). 434–444. 139 indexed citations breakdown →
5.
Tsuboyama, Kotaro, Justas Dauparas, Jonathan H. Chen, et al.. (2023). Mega-scale experimental analysis of protein folding stability in biology and design. Zenodo (CERN European Organization for Nuclear Research). 4 indexed citations
6.
Olshefsky, Audrey, Meilyn Sylvestre, Gabriel L. Butterfield, et al.. (2023). In vivo selection of synthetic nucleocapsids for tissue targeting. Proceedings of the National Academy of Sciences. 120(46). e2306129120–e2306129120. 4 indexed citations
7.
Tsuboyama, Kotaro, Justas Dauparas, Jonathan Chen, et al.. (2022). Mega-scale experimental analysis of protein folding stability in biology and protein design. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations
8.
Tsuboyama, Kotaro, Scott Houliston, Alexander Lemak, et al.. (2022). Dissecting the stability determinants of a challenging de novo protein fold using massively parallel design and experimentation. Proceedings of the National Academy of Sciences. 119(41). e2122676119–e2122676119. 10 indexed citations
9.
Bryan, Cassie M., Sugyan M. Dixit, Matthew J. Bick, et al.. (2021). Computational design of a synthetic PD-1 agonist. Proceedings of the National Academy of Sciences. 118(29). 46 indexed citations
10.
Peng, Xiangda, Michael C. Baxa, Joseph R. Sachleben, et al.. (2021). Prediction and Validation of a Protein’s Free Energy Surface Using Hydrogen Exchange and (Importantly) Its Denaturant Dependence. Journal of Chemical Theory and Computation. 18(1). 550–561. 15 indexed citations
11.
Guttman, Miklós, Neal N. Padte, Yaoxing Huang, et al.. (2020). The influence of proline isomerization on potency and stability of anti-HIV antibody 10E8. Scientific Reports. 10(1). 14313–14313. 14 indexed citations
12.
Dixit, Sugyan M., Tamuka M. Chidyausiku, Inna Goreshnik, et al.. (2017). Global analysis of protein folding using massively parallel design, synthesis, and testing. Science. 357(6347). 168–175. 305 indexed citations breakdown →
13.
Dixit, Sugyan M., S.E. Boyce, Marcus Fischer, et al.. (2013). Blind Prediction of Charged Ligand Binding Affinities in a Model Binding Site. Journal of Molecular Biology. 425(22). 4569–4583. 51 indexed citations
14.
Dixit, Sugyan M., David L. Mobley, & Ken A. Dill. (2013). Calculating the Sensitivity and Robustness of Binding Free Energy Calculations to Force Field Parameters. Journal of Chemical Theory and Computation. 9(7). 3072–3083. 25 indexed citations
15.
Dixit, Sugyan M., David L. Mobley, Ken A. Dill, & Philippe H. Hünenberger. (2013). Calculating the binding free energies of charged species based on explicit-solvent simulations employing lattice-sum methods: An accurate correction scheme for electrostatic finite-size effects. The Journal of Chemical Physics. 139(18). 184103–184103. 190 indexed citations
16.
Dixit, Sugyan M., David L. Mobley, & Ken A. Dill. (2013). Separated topologies—A method for relative binding free energy calculations using orientational restraints. The Journal of Chemical Physics. 138(8). 85104–85104. 30 indexed citations
17.
Boyce, S.E., David L. Mobley, Sugyan M. Dixit, et al.. (2009). Predicting Ligand Binding Affinity with Alchemical Free Energy Methods in a Polar Model Binding Site. Journal of Molecular Biology. 394(4). 747–763. 146 indexed citations
18.
Teotico, Denise G., Kerim Babaoglu, Sugyan M. Dixit, et al.. (2009). Docking for fragment inhibitors of AmpC β-lactamase. Proceedings of the National Academy of Sciences. 106(18). 7455–7460. 78 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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