Ramakrishnan Usha

842 total citations
9 papers, 659 citations indexed

About

Ramakrishnan Usha is a scholar working on Plant Science, Virology and Ecology. According to data from OpenAlex, Ramakrishnan Usha has authored 9 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 2 papers in Virology and 2 papers in Ecology. Recurrent topics in Ramakrishnan Usha's work include Plant Virus Research Studies (8 papers), HIV Research and Treatment (2 papers) and Bacteriophages and microbial interactions (2 papers). Ramakrishnan Usha is often cited by papers focused on Plant Virus Research Studies (8 papers), HIV Research and Treatment (2 papers) and Bacteriophages and microbial interactions (2 papers). Ramakrishnan Usha collaborates with scholars based in India, United States and Israel. Ramakrishnan Usha's co-authors include Joyce Jose, John E. Johnson, Zhongguo Chen, Cynthia V. Stauffacher, Tim Schmidt, Tianwei Lin, Michael Shanks, Valerie E. Spall, Jonathan B. Rohll and Andrew J. Maule and has published in prestigious journals such as Virology, Proteins Structure Function and Bioinformatics and Virus Research.

In The Last Decade

Ramakrishnan Usha

9 papers receiving 626 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ramakrishnan Usha India	6	487	238	196	179	86	9	659
Kodetham Gopinath India	10	821 1.7×	419 1.8×	141 0.7×	260 1.5×	216 2.5×	15	1.1k
Marc Storms Netherlands	11	681 1.4×	195 0.8×	155 0.8×	88 0.5×	189 2.2×	17	802
V. Hari United States	17	479 1.0×	213 0.9×	95 0.5×	128 0.7×	168 2.0×	39	803
М. В. Архипенко Russia	12	396 0.8×	104 0.4×	136 0.7×	231 1.3×	95 1.1×	44	529
J. Allan Dodds United States	16	573 1.2×	143 0.6×	41 0.2×	207 1.2×	244 2.8×	31	711
R. Casper Germany	17	1.0k 2.1×	214 0.9×	199 1.0×	110 0.6×	391 4.5×	61	1.2k
G. Lebeurier France	15	522 1.1×	143 0.6×	80 0.4×	212 1.2×	152 1.8×	28	592
Cristiano Lacorte Brazil	17	423 0.9×	273 1.1×	149 0.8×	41 0.2×	86 1.0×	43	609
I‐Hsuan Chen Taiwan	17	387 0.8×	376 1.6×	40 0.2×	228 1.3×	92 1.1×	44	904
Lilian Järvekülg Estonia	16	356 0.7×	170 0.7×	118 0.6×	123 0.7×	105 1.2×	31	709

Countries citing papers authored by Ramakrishnan Usha

Since Specialization

Citations

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

Fields of papers citing papers by Ramakrishnan Usha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramakrishnan Usha

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

All Works

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9 of 9 papers shown

Jacob, Thomas, et al.. (2019). The first complete genomic sequence of cardamom mosaic virus, a member of the genus Macluravirus (family Potyviridae). Archives of Virology. 164(6). 1723–1726. 5 indexed citations

Hanna, Luke Elizabeth, et al.. (2017). Characterization of Salmonella typhi OmpC and OmpF porins engineered with HIV‐gp41 epitope on the surface loops. Proteins Structure Function and Bioinformatics. 85(4). 657–664. 5 indexed citations

Gujar, Ravindra, et al.. (2013). Expression and immunological characterization of cardamom mosaic virus coat protein displaying HIV gp41 epitopes. Microbiology and Immunology. 57(5). 374–385. 5 indexed citations

Radhakrishnan, Girish, et al.. (2009). Characterization of a begomovirus causing horsegram yellow mosaic disease in India. European Journal of Plant Pathology. 127(1). 41–51. 19 indexed citations

Radhakrishnan, Girish, Gary A. Splitter, & Ramakrishnan Usha. (2008). DNA recognition properties of the cell-to-cell movement protein (MP) of soybean isolate of Mungbean yellow mosaic India virus (MYMIV-Sb). Virus Research. 131(2). 152–159. 7 indexed citations

Usha, Ramakrishnan, Yael Levy, Abraham Loyter, et al.. (2006). Production of siRNA targeted against TYLCV coat protein transcripts leads to silencing of its expression and resistance to the virus. Transgenic Research. 16(3). 385–398. 59 indexed citations

Jose, Joyce & Ramakrishnan Usha. (2003). Bhendi Yellow Vein Mosaic Disease in India Is Caused by Association of a DNA β Satellite with a Begomovirus. Virology. 305(2). 310–317. 211 indexed citations

Lin, Tianwei, Zhongguo Chen, Ramakrishnan Usha, et al.. (1999). The Refined Crystal Structure of Cowpea Mosaic Virus at 2.8 Å Resolution. Virology. 265(1). 20–34. 208 indexed citations

Usha, Ramakrishnan, Jonathan B. Rohll, Valerie E. Spall, et al.. (1993). Expression of an Animal Virus Antigenic Site on the Surface of a Plant Virus Particle. Virology. 197(1). 366–374. 140 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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