Geeta Ram

1.0k total citations
20 papers, 702 citations indexed

About

Geeta Ram is a scholar working on Ecology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Geeta Ram has authored 20 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Ecology, 12 papers in Molecular Biology and 8 papers in Infectious Diseases. Recurrent topics in Geeta Ram's work include Bacteriophages and microbial interactions (13 papers), RNA and protein synthesis mechanisms (8 papers) and Bacterial Genetics and Biotechnology (7 papers). Geeta Ram is often cited by papers focused on Bacteriophages and microbial interactions (13 papers), RNA and protein synthesis mechanisms (8 papers) and Bacterial Genetics and Biotechnology (7 papers). Geeta Ram collaborates with scholars based in United States, United Kingdom and Spain. Geeta Ram's co-authors include Richard P. Novick, John Chen, José R. Penadés, Hope F. Ross, Nuria Quiles‐Puchalt, Priyadarshan K. Damle, Gail E. Christie, Krishan Kumar, Pauline Yoong and Victor J. Torres and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Biotechnology.

In The Last Decade

Geeta Ram

20 papers receiving 696 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Geeta Ram United States 15 460 398 214 168 106 20 702
Dana Gebhart United States 12 358 0.8× 338 0.8× 211 1.0× 129 0.8× 59 0.6× 14 681
Andrei Trostel United States 8 265 0.6× 391 1.0× 119 0.6× 144 0.9× 154 1.5× 8 604
Hannah G. Hampton New Zealand 9 437 0.9× 511 1.3× 76 0.4× 138 0.8× 99 0.9× 13 742
Nuria Quiles‐Puchalt Spain 15 569 1.2× 780 2.0× 197 0.9× 220 1.3× 189 1.8× 20 1.0k
Matthew Dunne Switzerland 18 474 1.0× 807 2.0× 131 0.6× 106 0.6× 217 2.0× 24 961
Assaf Raz United States 14 303 0.7× 384 1.0× 205 1.0× 102 0.6× 196 1.8× 19 744
Ruth Kiro Israel 9 547 1.2× 441 1.1× 72 0.3× 200 1.2× 87 0.8× 9 787
Peter Chahales United States 6 249 0.5× 358 0.9× 119 0.6× 100 0.6× 150 1.4× 6 575
Aleksandra Dydecka Poland 13 264 0.6× 571 1.4× 152 0.7× 78 0.5× 191 1.8× 21 662
Flavie Pouillot France 10 257 0.6× 423 1.1× 80 0.4× 136 0.8× 165 1.6× 10 603

Countries citing papers authored by Geeta Ram

Since Specialization
Citations

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

Fields of papers citing papers by Geeta Ram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geeta Ram

This figure shows the co-authorship network connecting the top 25 collaborators of Geeta Ram. A scholar is included among the top collaborators of Geeta Ram 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 Geeta Ram. Geeta Ram 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.
Zhao, Aishan, Qian Xie, Boyuan Wang, et al.. (2022). Reconstitution of the S. aureus agr quorum sensing pathway reveals a direct role for the integral membrane protease MroQ in pheromone biosynthesis. Proceedings of the National Academy of Sciences. 119(33). e2202661119–e2202661119. 25 indexed citations
2.
Haag, Andreas F., Magdalena Podkowik, Rodrigo Ibarra‐Chávez, et al.. (2021). A regulatory cascade controls Staphylococcus aureus pathogenicity island activation. Nature Microbiology. 6(10). 1300–1308. 27 indexed citations
3.
Ram, Geeta, et al.. (2018). Conversion of staphylococcal pathogenicity islands to CRISPR-carrying antibacterial agents that cure infections in mice. Nature Biotechnology. 36(10). 971–976. 58 indexed citations
4.
Novick, Richard P. & Geeta Ram. (2017). Staphylococcal pathogenicity islands — movers and shakers in the genomic firmament. Current Opinion in Microbiology. 38. 197–204. 47 indexed citations
5.
Quiles‐Puchalt, Nuria, Miguel Martí, Suzanne Humphrey, et al.. (2016). Phage-inducible islands in the Gram-positive cocci. The ISME Journal. 11(4). 1029–1042. 71 indexed citations
6.
Chen, John, Geeta Ram, Pauline Yoong, et al.. (2015). An rpsL-based allelic exchange vector for Staphylococcus aureus. Plasmid. 79. 8–14. 9 indexed citations
7.
Ram, Geeta, John Chen, Hope F. Ross, & Richard P. Novick. (2015). An insight into staphylococcal pathogenicity island-mediated interference with phage late gene transcription. PubMed. 5(2). e1028608–e1028608. 3 indexed citations
8.
Novick, Richard P. & Geeta Ram. (2015). The Floating (Pathogenicity) Island: A Genomic Dessert. Trends in Genetics. 32(2). 114–126. 46 indexed citations
9.
Chen, John, Geeta Ram, José R. Penadés, Stuart M. Brown, & Richard P. Novick. (2014). Pathogenicity Island-Directed Transfer of Unlinked Chromosomal Virulence Genes. Molecular Cell. 57(1). 138–149. 46 indexed citations
10.
Chen, John, Pauline Yoong, Geeta Ram, Victor J. Torres, & Richard P. Novick. (2014). Single-copy vectors for integration at the SaPI1 attachment site for Staphylococcus aureus. Plasmid. 76. 1–7. 52 indexed citations
11.
Ram, Geeta, John Chen, Hope F. Ross, & Richard P. Novick. (2014). Precisely modulated pathogenicity island interference with late phage gene transcription. Proceedings of the National Academy of Sciences. 111(40). 14536–14541. 52 indexed citations
12.
Chen, John, Núria Carpena, Nuria Quiles‐Puchalt, et al.. (2014). Intra- and inter-generic transfer of pathogenicity island-encoded virulence genes by cos phages. The ISME Journal. 9(5). 1260–1263. 50 indexed citations
13.
Quiles‐Puchalt, Nuria, et al.. (2013). Unravelling bacteriophage ϕ11 requirements for packaging and transfer of mobile genetic elements in Staphylococcus aureus. Molecular Microbiology. 91(3). 423–437. 27 indexed citations
14.
Damle, Priyadarshan K., Erin Wall, Michael Spilman, et al.. (2012). The roles of SaPI1 proteins gp7 (CpmA) and gp6 (CpmB) in capsid size determination and helper phage interference. Virology. 432(2). 277–282. 42 indexed citations
15.
Ram, Geeta, John Chen, Krishan Kumar, et al.. (2012). Staphylococcal pathogenicity island interference with helper phage reproduction is a paradigm of molecular parasitism. Proceedings of the National Academy of Sciences. 109(40). 16300–16305. 92 indexed citations
16.
17.
Kumar, Krishan, Geeta Ram, Azeet Narayan, et al.. (2009). Phenylalanine-Rich Peptides Potently Bind ESAT6, a Virulence Determinant of Mycobacterium tuberculosis, and Concurrently Affect the Pathogen's Growth. PLoS ONE. 4(11). e7615–e7615. 17 indexed citations
18.
Rao, Alka, Geeta Ram, Adesh K. Saini, et al.. (2006). Synthesis and Selection of De Novo Proteins That Bind and Impede Cellular Functions of an Essential Mycobacterial Protein. Applied and Environmental Microbiology. 73(4). 1320–1331. 9 indexed citations
19.
Rao, Alka, Sidharth Chopra, Geeta Ram, Ankit Gupta, & Anand Ranganathan. (2005). Application of the “Codon-shuffling” Method. Journal of Biological Chemistry. 280(25). 23605–23614. 11 indexed citations
20.
Ram, Geeta, et al.. (2003). Apoptosis induced by avian reovirus. The Indian Journal of Animal Sciences. 73(2). 164–165. 1 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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