Roopa Thapar

1.2k total citations
31 papers, 865 citations indexed

About

Roopa Thapar is a scholar working on Molecular Biology, Materials Chemistry and Genetics. According to data from OpenAlex, Roopa Thapar has authored 31 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 5 papers in Materials Chemistry and 3 papers in Genetics. Recurrent topics in Roopa Thapar's work include RNA Research and Splicing (14 papers), RNA and protein synthesis mechanisms (13 papers) and RNA modifications and cancer (8 papers). Roopa Thapar is often cited by papers focused on RNA Research and Splicing (14 papers), RNA and protein synthesis mechanisms (13 papers) and RNA modifications and cancer (8 papers). Roopa Thapar collaborates with scholars based in United States, Canada and France. Roopa Thapar's co-authors include Sharon L. Campbell, William F. Marzluff, Jason G. Williams, Mark Titus, Edward P. Nikonowicz, Jongyun Heo, Nithya Krishnan, Matthew P. Torres, Christoph H. Borchers and Rachel E. Klevit and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Roopa Thapar

29 papers receiving 850 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roopa Thapar United States 21 777 109 87 79 76 31 865
Carrie H. Croy United States 11 459 0.6× 107 1.0× 69 0.8× 40 0.5× 67 0.9× 13 575
Hafumi Nishi Japan 12 864 1.1× 51 0.5× 152 1.7× 89 1.1× 107 1.4× 25 1.1k
Brigitte Altenberg Germany 5 1.0k 1.3× 347 3.2× 98 1.1× 115 1.5× 73 1.0× 6 1.3k
Morkos A. Henen United States 17 605 0.8× 29 0.3× 85 1.0× 64 0.8× 64 0.8× 56 812
Lori Andrews United States 12 550 0.7× 90 0.8× 41 0.5× 74 0.9× 194 2.6× 13 708
Claudia Chica France 11 967 1.2× 46 0.4× 57 0.7× 79 1.0× 247 3.3× 20 1.1k
Daniel J. Rigotti United States 9 913 1.2× 81 0.7× 79 0.9× 173 2.2× 27 0.4× 10 1.0k
Hang‐Cheol Shin South Korea 12 473 0.6× 46 0.4× 115 1.3× 46 0.6× 34 0.4× 30 666
Darragh P. O’Brien United Kingdom 13 310 0.4× 73 0.7× 36 0.4× 131 1.7× 73 1.0× 26 560
Gergő Gógl Hungary 17 663 0.9× 46 0.4× 57 0.7× 61 0.8× 35 0.5× 42 821

Countries citing papers authored by Roopa Thapar

Since Specialization
Citations

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

Fields of papers citing papers by Roopa Thapar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roopa Thapar

This figure shows the co-authorship network connecting the top 25 collaborators of Roopa Thapar. A scholar is included among the top collaborators of Roopa Thapar 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 Roopa Thapar. Roopa Thapar 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.
Petrotchenko, Evgeniy V., et al.. (2025). Characterization of the KRas G12D-inhibitor interactions by differential HDX-MS and molecular dynamics simulations. Computational and Structural Biotechnology Journal. 27. 3618–3624. 1 indexed citations
2.
Nagy, Endre V., Evgeniy V. Petrotchenko, Konstantin Popov, et al.. (2025). A Hit Prioritization Strategy for Compound Library Screening Using LiP-MS and Molecular Dynamics Simulations Applied to KRas G12D Inhibitors. Analytical Chemistry. 97(37). 20228–20236.
3.
Chinnam, Naga Babu, Roopa Thapar, Altaf H. Sarker, et al.. (2024). ASCC1 structures and bioinformatics reveal a novel helix-clasp-helix RNA-binding motif linked to a two-histidine phosphodiesterase. Journal of Biological Chemistry. 300(6). 107368–107368. 4 indexed citations
5.
Hammel, Michal, Daniel J. Rosenberg, Jan C. Bierma, et al.. (2020). Visualizing functional dynamicity in the DNA-dependent protein kinase holoenzyme DNA-PK complex by integrating SAXS with cryo-EM. Progress in Biophysics and Molecular Biology. 163. 74–86. 15 indexed citations
6.
Thapar, Roopa. (2018). Regulation of DNA Double-Strand Break Repair by Non-Coding RNAs. Molecules. 23(11). 2789–2789. 66 indexed citations
7.
Biter, Amadeo B., Andres H. de la Peña, Roopa Thapar, Jean Z. Lin, & Kevin J. Phillips. (2016). DSF Guided Refolding As A Novel Method Of Protein Production. Scientific Reports. 6(1). 18906–18906. 26 indexed citations
8.
Thapar, Roopa. (2015). Structure-specific nucleic acid recognition by L-motifs and their diverse roles in expression and regulation of the genome. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1849(6). 677–687. 6 indexed citations
9.
Thapar, Roopa. (2015). Roles of Prolyl Isomerases in RNA-Mediated Gene Expression. Biomolecules. 5(2). 974–999. 30 indexed citations
10.
Krishnan, Nithya, Mark Titus, & Roopa Thapar. (2014). The Prolyl Isomerase Pin1 Regulates mRNA Levels of Genes with Short Half-Lives by Targeting Specific RNA Binding Proteins. PLoS ONE. 9(1). e85427–e85427. 28 indexed citations
11.
Thapar, Roopa & Mark Titus. (2014). Recent Advances in Metabolic Profiling and Imaging of Prostate Cancer. PubMed. 2(1). 53–69. 25 indexed citations
13.
Thapar, Roopa, et al.. (2013). Signaling pathways that control mRNA turnover. Cellular Signalling. 25(8). 1699–1710. 26 indexed citations
14.
Thapar, Roopa, et al.. (2013). Recognition modes of RNA tetraloops and tetraloop‐like motifs by RNA‐binding proteins. Wiley Interdisciplinary Reviews - RNA. 5(1). 49–67. 52 indexed citations
15.
Krishnan, Nithya, TuKiet T. Lam, Andrew J. Fritz, et al.. (2012). The Prolyl Isomerase Pin1 Targets Stem-Loop Binding Protein (SLBP) To Dissociate the SLBP-Histone mRNA Complex Linking Histone mRNA Decay with SLBP Ubiquitination. Molecular and Cellular Biology. 32(21). 4306–4322. 39 indexed citations
17.
Torres, Matthew P., Roopa Thapar, William F. Marzluff, & Christoph H. Borchers. (2005). Phosphatase-Directed Phosphorylation-Site Determination:  A Synthesis of Methods for the Detection and Identification of Phosphopeptides. Journal of Proteome Research. 4(5). 1628–1635. 39 indexed citations
18.
Thapar, Roopa, Jason G. Williams, & Sharon L. Campbell. (2004). NMR Characterization of Full-length Farnesylated and Non-farnesylated H-Ras and its Implications for Raf Activation. Journal of Molecular Biology. 343(5). 1391–1408. 95 indexed citations
19.
Peterson, R.W., Eric M. Nicholson, Roopa Thapar, Rachel E. Klevit, & J. Martin Scholtz. (1999). Increased helix and protein stability through the introduction of a new tertiary hydrogen bond 1 1P.E. Wright. Journal of Molecular Biology. 286(5). 1609–1619. 32 indexed citations
20.
Peterkofsky, Alan, Yeong‐Jae Seok, Niranjana D. Amin, et al.. (1995). The Escherichia coli Adenylyl Cyclase Complex: Requirement of PTS Proteins for Stimulation by Nucleotides. Biochemistry. 34(28). 8950–8959. 21 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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