Santrupti Nerli

1.6k total citations
13 papers, 423 citations indexed

About

Santrupti Nerli is a scholar working on Molecular Biology, Immunology and Materials Chemistry. According to data from OpenAlex, Santrupti Nerli has authored 13 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Immunology and 3 papers in Materials Chemistry. Recurrent topics in Santrupti Nerli's work include Protein Structure and Dynamics (6 papers), RNA and protein synthesis mechanisms (5 papers) and vaccines and immunoinformatics approaches (3 papers). Santrupti Nerli is often cited by papers focused on Protein Structure and Dynamics (6 papers), RNA and protein synthesis mechanisms (5 papers) and vaccines and immunoinformatics approaches (3 papers). Santrupti Nerli collaborates with scholars based in United States, Czechia and Austria. Santrupti Nerli's co-authors include Nikolaos G. Sgourakis, Andrew C. McShan, Lauren Carter, David Baker, Thomas Evangelidis, Konstantinos Tripsianes, Viviane S. De Paula, Enrique Marcos, Lucas G. Nivón and Tamuka M. Chidyausiku and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.

In The Last Decade

Santrupti Nerli

13 papers receiving 422 citations

Peers

Santrupti Nerli
Parin Sripakdeevong United States
Troy Taylor United States
Stephen P. Edgcomb United States
Dariya K. Sydykova United States
Madeleine Strickland United States
Santrupti Nerli
Citations per year, relative to Santrupti Nerli Santrupti Nerli (= 1×) peers Michael Harris

Countries citing papers authored by Santrupti Nerli

Since Specialization
Citations

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

Fields of papers citing papers by Santrupti Nerli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Santrupti Nerli

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

All Works

13 of 13 papers shown
1.
Gupta, S. K., et al.. (2023). HLA3DB: comprehensive annotation of peptide/HLA complexes enables blind structure prediction of T cell epitopes. Nature Communications. 14(1). 6349–6349. 17 indexed citations
2.
Bouvignies, Guillaume, et al.. (2022). Global protein dynamics as communication sensors in peptide synthetase domains. Science Advances. 8(28). eabn6549–eabn6549. 9 indexed citations
3.
Nerli, Santrupti, Viviane S. De Paula, Andrew C. McShan, & Nikolaos G. Sgourakis. (2021). Backbone-independent NMR resonance assignments of methyl probes in large proteins. Nature Communications. 12(1). 691–691. 26 indexed citations
4.
Paula, Viviane S. De, Kevin M. Jude, Santrupti Nerli, et al.. (2020). Interleukin-2 druggability is modulated by global conformational transitions controlled by a helical capping switch. Proceedings of the National Academy of Sciences. 117(13). 7183–7192. 16 indexed citations
5.
Wei, Kathy Y., Danai Moschidi, Matthew J. Bick, et al.. (2020). Computational design of closely related proteins that adopt two well-defined but structurally divergent folds. Proceedings of the National Academy of Sciences. 117(13). 7208–7215. 39 indexed citations
6.
Fernandes, Jason D., Angie S. Hinrichs, Hiram Clawson, et al.. (2020). The UCSC SARS-CoV-2 Genome Browser. Nature Genetics. 52(10). 991–998. 60 indexed citations
7.
Nerli, Santrupti & Nikolaos G. Sgourakis. (2020). Structure-Based Modeling of SARS-CoV-2 Peptide/HLA-A02 Antigens. Frontiers in Medical Technology. 2. 553478–553478. 16 indexed citations
8.
Marceau, Aimee H., Santrupti Nerli, Andrew C. McShan, et al.. (2019). An order-to-disorder structural switch activates the FoxM1 transcription factor. eLife. 8. 37 indexed citations
9.
Marcos, Enrique, Tamuka M. Chidyausiku, Andrew C. McShan, et al.. (2018). De novo design of a non-local β-sheet protein with high stability and accuracy. Nature Structural & Molecular Biology. 25(11). 1028–1034. 86 indexed citations
10.
Toor, Jugmohit, Arjun A. Rao, Andrew C. McShan, et al.. (2018). A Recurrent Mutation in Anaplastic Lymphoma Kinase with Distinct Neoepitope Conformations. Frontiers in Immunology. 9. 99–99. 19 indexed citations
11.
Evangelidis, Thomas, Santrupti Nerli, Jiří Nováček, et al.. (2018). Automated NMR resonance assignments and structure determination using a minimal set of 4D spectra. Nature Communications. 9(1). 384–384. 28 indexed citations
12.
Nerli, Santrupti, Andrew C. McShan, & Nikolaos G. Sgourakis. (2018). Chemical shift-based methods in NMR structure determination. Progress in Nuclear Magnetic Resonance Spectroscopy. 106-107. 1–25. 46 indexed citations
13.
Nerli, Santrupti & Nikolaos G. Sgourakis. (2018). CS-ROSETTA. Methods in enzymology on CD-ROM/Methods in enzymology. 614. 321–362. 24 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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