Sukrit Singh

2.5k total citations · 1 hit paper
23 papers, 916 citations indexed

About

Sukrit Singh is a scholar working on Molecular Biology, Computational Theory and Mathematics and Developmental Neuroscience. According to data from OpenAlex, Sukrit Singh has authored 23 papers receiving a total of 916 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 3 papers in Developmental Neuroscience. Recurrent topics in Sukrit Singh's work include Protein Structure and Dynamics (6 papers), Computational Drug Discovery Methods (6 papers) and Receptor Mechanisms and Signaling (5 papers). Sukrit Singh is often cited by papers focused on Protein Structure and Dynamics (6 papers), Computational Drug Discovery Methods (6 papers) and Receptor Mechanisms and Signaling (5 papers). Sukrit Singh collaborates with scholars based in United States, Germany and Russia. Sukrit Singh's co-authors include Gregory R. Bowman, Neha Vithani, Michael D. Ward, Maxwell I. Zimmerman, Andrea Soranno, Jasmine Cubuk, Alex S. Holehouse, Kathleen B. Hall, Jhullian J. Alston and Daniel Griffith and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Sukrit Singh

22 papers receiving 915 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The SARS-CoV-2 nucleocapsid protein is dynamic, disordered, and phase separates with RNA

2021 365 citations Jasmine Cubuk, Jhullian J. Alston et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sukrit Singh United States	13	558	337	105	101	87	23	916
Maxwell I. Zimmerman United States	17	893 1.6×	386 1.1×	115 1.1×	200 2.0×	152 1.7×	28	1.4k
Arun Prasad Pandurangan United Kingdom	17	893 1.6×	159 0.5×	81 0.8×	101 1.0×	178 2.0×	37	1.3k
Emília P. Barros Switzerland	13	525 0.9×	497 1.5×	141 1.3×	108 1.1×	55 0.6×	20	932
Ladislau C. Kovari United States	17	411 0.7×	468 1.4×	104 1.0×	46 0.5×	70 0.8×	43	961
Neha Vithani India	10	456 0.8×	338 1.0×	87 0.8×	79 0.8×	69 0.8×	16	721
Ramya Rangan United States	12	1.0k 1.8×	185 0.5×	90 0.9×	59 0.6×	130 1.5×	16	1.2k
Kerstin Reiß Germany	15	450 0.8×	202 0.6×	55 0.5×	32 0.3×	76 0.9×	16	797
Firdaus Samsudin United Kingdom	19	637 1.1×	233 0.7×	143 1.4×	53 0.5×	42 0.5×	35	1.1k
Pedro Serrano United States	18	488 0.9×	257 0.8×	45 0.4×	39 0.4×	159 1.8×	47	947
Carl A. Fogarty Ireland	7	522 0.9×	578 1.7×	167 1.6×	109 1.1×	47 0.5×	9	924

Countries citing papers authored by Sukrit Singh

Since Specialization

Citations

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

Fields of papers citing papers by Sukrit Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sukrit Singh. 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 Sukrit Singh. The network helps show where Sukrit Singh may publish in the future.

Co-authorship network of co-authors of Sukrit Singh

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

All Works

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20 of 20 papers shown

Singh, Sukrit, John D. Chodera, Bo Liu, et al.. (2025). Trastuzumab Deruxtecan Resistance via Loss of HER2 Expression and Binding. Cancer Discovery. 16(2). 235–249. 3 indexed citations

Singh, Sukrit, Vytautas Gapsys, Matteo Aldeghi, et al.. (2025). Prospective Evaluation of Structure-Based Simulations Reveal Their Ability to Predict the Impact of Kinase Mutations on Inhibitor Binding. The Journal of Physical Chemistry B. 129(11). 2882–2902. 3 indexed citations

Chen, Wanyi, Sukrit Singh, John D. Chodera, et al.. (2025). Abstract LB280: Resistance to trastuzumab deruxtecan (T-DXd) in breast cancer via loss of HER2 expression and binding. Cancer Research. 85(8_Supplement_2). LB280–LB280.

Vithani, Neha, et al.. (2024). Stabilization of interdomain closure by a G protein inhibitor. Proceedings of the National Academy of Sciences. 121(36). e2311711121–e2311711121. 4 indexed citations

Singh, Sukrit, et al.. (2023). Death by a thousand cuts through kinase inhibitor combinations that maximize selectivity and enable rational multitargeting. eLife. 12. 3 indexed citations

Zhang, Ivy, Dominic A. Rufa, Michael M. Henry, et al.. (2023). Identifying and Overcoming the Sampling Challenges in Relative Binding Free Energy Calculations of a Model Protein:Protein Complex. Journal of Chemical Theory and Computation. 19(15). 4863–4882. 10 indexed citations

Knoverek, Catherine R., Upasana L. Mallimadugula, Sukrit Singh, et al.. (2021). Opening of a cryptic pocket in β-lactamase increases penicillinase activity. Proceedings of the National Academy of Sciences. 118(47). 22 indexed citations

Vithani, Neha, Michael D. Ward, Maxwell I. Zimmerman, et al.. (2021). SARS-CoV-2 Nsp16 activation mechanism and a cryptic pocket with pan-coronavirus antiviral potential. Biophysical Journal. 120(14). 2880–2889. 56 indexed citations

Zimmerman, Maxwell I., Justin R. Porter, Michael D. Ward, et al.. (2021). SARS-CoV-2 simulations go exascale to predict dramatic spike opening and cryptic pockets across the proteome. Nature Chemistry. 13(7). 651–659. 167 indexed citations

10.

Cubuk, Jasmine, Jhullian J. Alston, J. Jeremías Incicco, et al.. (2021). The SARS-CoV-2 nucleocapsid protein is dynamic, disordered, and phase separates with RNA. Nature Communications. 12(1). 1936–1936. 365 indexed citations breakdown →

11.

Singh, Sukrit, Xianqiang Sun, Kendall Blumer, & Gregory R. Bowman. (2020). Simulation of Spontaneous G Protein Activation Reveals a New Intermediate Driving GDP Unbinding. Biophysical Journal. 118(3). 320a–320a. 1 indexed citations

12.

Brown, Cameron A., Liya Hu, Zhizeng Sun, et al.. (2020). Antagonism between substitutions in β-lactamase explains a path not taken in the evolution of bacterial drug resistance. Journal of Biological Chemistry. 295(21). 7376–7390. 17 indexed citations

13.

Singh, Sukrit, et al.. (2018). Design, synthesis, and biological evaluation of stable β 6.3 -Helices: Discovery of non-hemolytic antibacterial peptides. European Journal of Medicinal Chemistry. 149. 193–210. 12 indexed citations

14.

Lee, Soon Goo, et al.. (2017). The small molecule JIB-04 disrupts O₂binding in the Fe-dependent histone demethylase KDM4A/JMJD2A. Chemical Communications. 53(13). 2174–2177. 22 indexed citations

15.

Singh, Sukrit & Gregory R. Bowman. (2017). Quantifying Allosteric Communication via Both Concerted Structural Changes and Conformational Disorder with CARDS. Journal of Chemical Theory and Computation. 13(4). 1509–1517. 39 indexed citations

16.

Brosey, Chris A., Chris Ho, Sukrit Singh, et al.. (2016). Defining NADH-Driven Allostery Regulating Apoptosis-Inducing Factor. Structure. 24(12). 2067–2079. 44 indexed citations

17.

Cabrera, Omar H., et al.. (2016). Dexmedetomidine protects against glucocorticoid induced progenitor cell apoptosis in neonatal mouse cerebellum. The Journal of Maternal-Fetal & Neonatal Medicine. 30(18). 2156–2162. 2 indexed citations

18.

Nelson, Christopher A., et al.. (2015). Structural Conservation and Functional Diversity of the Poxvirus Immune Evasion (PIE) Domain Superfamily. Viruses. 7(9). 4873–4893. 29 indexed citations

19.

Patel, Bhargav A., et al.. (2013). Plant growth promoting properties of Halobacillus sp. and Halomonas sp. in presence of salinity and heavy metals. Journal of Basic Microbiology. 54(8). 781–791. 51 indexed citations

20.

Cabrera, Omar H., et al.. (2013). Lithium protects against glucocorticoid induced neural progenitor cell apoptosis in the developing cerebellum. Brain Research. 1545. 54–63. 18 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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