Supriya Pratihar

521 total citations
19 papers, 352 citations indexed

About

Supriya Pratihar is a scholar working on Molecular Biology, Spectroscopy and Materials Chemistry. According to data from OpenAlex, Supriya Pratihar has authored 19 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Spectroscopy and 6 papers in Materials Chemistry. Recurrent topics in Supriya Pratihar's work include Protein Structure and Dynamics (11 papers), Advanced NMR Techniques and Applications (4 papers) and RNA and protein synthesis mechanisms (4 papers). Supriya Pratihar is often cited by papers focused on Protein Structure and Dynamics (11 papers), Advanced NMR Techniques and Applications (4 papers) and RNA and protein synthesis mechanisms (4 papers). Supriya Pratihar collaborates with scholars based in Germany, United States and India. Supriya Pratihar's co-authors include Stefan Becker, Christian Griesinger, David Ban, Karin Giller, Bert L. de Groot, Donghan Lee, Colin A. Smith, Donghan Lee, T. Michael Sabo and Srivastav Ranganathan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Supriya Pratihar

17 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Supriya Pratihar Germany 10 260 133 90 42 40 19 352
Matthew R. Elkins United States 7 242 0.9× 134 1.0× 66 0.7× 29 0.7× 23 0.6× 8 372
Henry J. Nothnagel United States 8 380 1.5× 220 1.7× 66 0.7× 51 1.2× 73 1.8× 11 554
Kumar Tekwani Movellan Germany 12 148 0.6× 231 1.7× 86 1.0× 81 1.9× 47 1.2× 24 395
Tomomi Hanashima Japan 3 270 1.0× 126 0.9× 106 1.2× 27 0.6× 39 1.0× 3 358
Kohsuke Inomata Japan 11 478 1.8× 140 1.1× 149 1.7× 36 0.9× 67 1.7× 18 612
Kamil Tamiola Netherlands 7 373 1.4× 105 0.8× 116 1.3× 21 0.5× 17 0.4× 8 441
Daisuke Sakakibara Japan 4 257 1.0× 116 0.9× 96 1.1× 25 0.6× 36 0.9× 7 347
Jeremy Flinders United States 9 548 2.1× 155 1.2× 91 1.0× 38 0.9× 41 1.0× 11 688
Anton Abyzov France 8 465 1.8× 163 1.2× 162 1.8× 44 1.0× 10 0.3× 23 533
Neil R. Birkett United Kingdom 7 257 1.0× 192 1.4× 149 1.7× 50 1.2× 41 1.0× 7 453

Countries citing papers authored by Supriya Pratihar

Since Specialization
Citations

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

Fields of papers citing papers by Supriya Pratihar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Supriya Pratihar

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

All Works

19 of 19 papers shown
1.
Guseva, Serafima, Supriya Pratihar, Yeongjoon Lee, et al.. (2025). Insight into the Conformational Ensembles Formed by U–U and T–T Mismatches in RNA and DNA Duplexes From a Structure-based Survey, NMR, and Molecular Dynamics Simulations. Journal of Molecular Biology. 437(17). 169197–169197. 1 indexed citations
2.
Pratihar, Supriya, et al.. (2025). Extending the detectable time window of fast protein dynamics using 1HN E-CPMG. Journal of Biomolecular NMR. 79(4). 231–241.
3.
4.
Ganser, Laura R., et al.. (2023). An RNA excited conformational state at atomic resolution. Nature Communications. 14(1). 8432–8432. 12 indexed citations
5.
Olsson, Simon, Supriya Pratihar, Karin Giller, et al.. (2022). A litmus test for classifying recognition mechanisms of transiently binding proteins. Nature Communications. 13(1). 3792–3792. 10 indexed citations
6.
Movellan, Kumar Tekwani, Eszter E. Najbauer, Supriya Pratihar, et al.. (2019). Alpha protons as NMR probes in deuterated proteins. Journal of Biomolecular NMR. 73(1-2). 81–91. 17 indexed citations
7.
Pratihar, Supriya, et al.. (2017). Simultaneous determination of fast and slow dynamics in molecules using extreme CPMG relaxation dispersion experiments. Journal of Biomolecular NMR. 70(1). 1–9. 28 indexed citations
8.
Pratihar, Supriya, T. Michael Sabo, David Ban, et al.. (2016). Kinetics of the Antibody Recognition Site in the Third IgG‐Binding Domain of Protein G. Angewandte Chemie International Edition. 55(33). 9567–9570. 22 indexed citations
9.
Pratihar, Supriya, T. Michael Sabo, David Ban, et al.. (2016). Kinetics of the Antibody Recognition Site in the Third IgG‐Binding Domain of Protein G. Angewandte Chemie. 128(33). 9719–9722. 5 indexed citations
10.
Ban, David, et al.. (2016). High-power 1 H composite pulse decoupling provides artifact free exchange-mediated saturation transfer (EST) experiments. Journal of Magnetic Resonance. 269. 65–69. 7 indexed citations
11.
Smith, Colin A., David Ban, Supriya Pratihar, et al.. (2016). Allosteric switch regulates protein–protein binding through collective motion. Proceedings of the National Academy of Sciences. 113(12). 3269–3274. 62 indexed citations
12.
Michielssens, Servaas, David Ban, Supriya Pratihar, et al.. (2014). A Designed Conformational Shift To Control Protein Binding Specificity. Angewandte Chemie International Edition. 53(39). 10367–10371. 46 indexed citations
13.
Michielssens, Servaas, David Ban, Supriya Pratihar, et al.. (2014). A Designed Conformational Shift To Control Protein Binding Specificity. Angewandte Chemie. 126(39). 10535–10539. 7 indexed citations
14.
Arunagiri, Anoop, Srivastav Ranganathan, Narendra Nath Jha, et al.. (2014). Elucidating the Role of Disulfide Bond on Amyloid Formation and Fibril Reversibility of Somatostatin-14. Journal of Biological Chemistry. 289(24). 16884–16903. 63 indexed citations
15.
Smith, Colin A., David Ban, Supriya Pratihar, et al.. (2014). Population Shuffling of Protein Conformations. Angewandte Chemie International Edition. 54(1). 207–210. 53 indexed citations
16.
Smith, Colin A., David Ban, Supriya Pratihar, et al.. (2014). Population Shuffling of Protein Conformations. Angewandte Chemie. 127(1). 209–212. 5 indexed citations
17.
Mithu, Venus Singh, Supriya Pratihar, Subhradip Paul, & Madhu Puttegowda. (2012). Efficiency of heteronuclear dipolar decoupling schemes in solid-state NMR: Investigation of effective transverse relaxation times. Journal of Magnetic Resonance. 220. 8–17. 11 indexed citations
18.
Chakraborty, Swagata, Supriya Pratihar, & Ramakrishna V. Hosur. (2012). NMR Derived Model of GTPase Effector Domain (GED) Self Association: Relevance to Dynamin Assembly. PLoS ONE. 7(1). e30109–e30109. 1 indexed citations
19.
Pratihar, Supriya, et al.. (1996). An Account of the Mammalian Fauna of Gorumara National Park, Jalpaiguri, West Bengal. Records of the Zoological Survey of India. 229–241. 2 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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