Haripriya Ramu

919 total citations
8 papers, 669 citations indexed

About

Haripriya Ramu is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Haripriya Ramu has authored 8 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Genetics and 1 paper in Infectious Diseases. Recurrent topics in Haripriya Ramu's work include RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (6 papers) and Bacterial Genetics and Biotechnology (5 papers). Haripriya Ramu is often cited by papers focused on RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (6 papers) and Bacterial Genetics and Biotechnology (5 papers). Haripriya Ramu collaborates with scholars based in United States, Sweden and India. Haripriya Ramu's co-authors include Alexander S. Mankin, Nora Vázquez‐Laslop, Dorota Klepacki, Krishna Kannan, Bruce A. Maguire, Robert A. Zimmermann, Artemy D. Beniaminov, Qing Dai, Joseph A. Piccirilli and Ronald Micura and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The EMBO Journal.

In The Last Decade

Haripriya Ramu

8 papers receiving 659 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haripriya Ramu United States 8 611 253 79 69 64 8 669
Caillan Crowe‐McAuliffe Germany 12 369 0.6× 104 0.4× 63 0.8× 69 1.0× 52 0.8× 16 456
R.D. Pai United States 4 441 0.7× 129 0.5× 62 0.8× 37 0.5× 26 0.4× 6 497
Lin‐Ya Huang Taiwan 11 267 0.4× 131 0.5× 33 0.4× 25 0.4× 53 0.8× 14 379
V. Marquez Germany 11 591 1.0× 94 0.4× 51 0.6× 13 0.2× 25 0.4× 13 638
Paul Huter Germany 9 441 0.7× 92 0.4× 70 0.9× 40 0.6× 25 0.4× 9 505
Kristin Peisker Sweden 8 295 0.5× 77 0.3× 41 0.5× 19 0.3× 43 0.7× 8 351
Gregory S. Allen United States 7 390 0.6× 180 0.7× 52 0.7× 10 0.1× 35 0.5× 8 463
Ravi Kiran Koripella United States 12 330 0.5× 75 0.3× 25 0.3× 24 0.3× 66 1.0× 17 397
Michael Worbs Germany 6 340 0.6× 131 0.5× 35 0.4× 16 0.2× 23 0.4× 9 487
Heather A. Feaga United States 9 211 0.3× 91 0.4× 63 0.8× 12 0.2× 59 0.9× 15 342

Countries citing papers authored by Haripriya Ramu

Since Specialization
Citations

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

Fields of papers citing papers by Haripriya Ramu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haripriya Ramu

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

All Works

8 of 8 papers shown
1.
Ravishankar, Sudha, Anisha Ambady, Haripriya Ramu, et al.. (2015). An IPTG Inducible Conditional Expression System for Mycobacteria. PLoS ONE. 10(8). e0134562–e0134562. 8 indexed citations
2.
Sothiselvam, Shanmugapriya, Bo Liu, Wei Han, et al.. (2014). Macrolide antibiotics allosterically predispose the ribosome for translation arrest. Proceedings of the National Academy of Sciences. 111(27). 9804–9809. 86 indexed citations
3.
Arenz, Stefan, Haripriya Ramu, Pulkit Gupta, et al.. (2014). Molecular basis for erythromycin-dependent ribosome stalling during translation of the ErmBL leader peptide. Nature Communications. 5(1). 3501–3501. 106 indexed citations
4.
Vázquez‐Laslop, Nora, Dorota Klepacki, Debbie C. Mulhearn, et al.. (2011). Role of antibiotic ligand in nascent peptide-dependent ribosome stalling. Proceedings of the National Academy of Sciences. 108(26). 10496–10501. 50 indexed citations
5.
Ramu, Haripriya, Nora Vázquez‐Laslop, Dorota Klepacki, et al.. (2011). Nascent Peptide in the Ribosome Exit Tunnel Affects Functional Properties of the A-Site of the Peptidyl Transferase Center. Molecular Cell. 41(3). 321–330. 95 indexed citations
6.
Vázquez‐Laslop, Nora, Haripriya Ramu, Dorota Klepacki, Krishna Kannan, & Alexander S. Mankin. (2010). The key function of a conserved and modified rRNA residue in the ribosomal response to the nascent peptide. The EMBO Journal. 29(18). 3108–3117. 118 indexed citations
7.
Ramu, Haripriya, Alexander S. Mankin, & Nora Vázquez‐Laslop. (2009). Programmed drug‐dependent ribosome stalling. Molecular Microbiology. 71(4). 811–824. 124 indexed citations
8.
Maguire, Bruce A., Artemy D. Beniaminov, Haripriya Ramu, Alexander S. Mankin, & Robert A. Zimmermann. (2005). A Protein Component at the Heart of an RNA Machine: The Importance of Protein L27 for the Function of the Bacterial Ribosome. Molecular Cell. 20(3). 427–435. 82 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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