Ashok K. Chopra

9.3k total citations
215 papers, 7.4k citations indexed

About

Ashok K. Chopra is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Ashok K. Chopra has authored 215 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Molecular Biology, 76 papers in Immunology and 68 papers in Genetics. Recurrent topics in Ashok K. Chopra's work include Aquaculture disease management and microbiota (55 papers), Vibrio bacteria research studies (50 papers) and Bacteriophages and microbial interactions (44 papers). Ashok K. Chopra is often cited by papers focused on Aquaculture disease management and microbiota (55 papers), Vibrio bacteria research studies (50 papers) and Bacteriophages and microbial interactions (44 papers). Ashok K. Chopra collaborates with scholars based in United States, France and India. Ashok K. Chopra's co-authors include Jian Sha, Johnny W. Peterson, Clifford W. Houston, Tatiana E. Erova, Cristi L. Galindo, Amin A. Fadl, Michelle L. Kirtley, Giovanni Suárez, Amy J. Horneman and Vsevolod L. Popov and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Ashok K. Chopra

212 papers receiving 7.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashok K. Chopra United States 48 3.0k 2.7k 2.4k 1.5k 1.3k 215 7.4k
Otto Holst Germany 50 1.6k 0.5× 3.2k 1.2× 930 0.4× 1.4k 0.9× 684 0.5× 179 7.4k
Juan M. Tomás Spain 46 2.3k 0.8× 2.3k 0.9× 2.4k 1.0× 941 0.6× 1.5k 1.1× 231 7.0k
Buko Lindner Germany 48 2.7k 0.9× 3.6k 1.4× 1.1k 0.5× 1.6k 1.1× 543 0.4× 241 8.6k
John M. Leong United States 59 2.0k 0.7× 2.9k 1.1× 2.1k 0.9× 2.1k 1.4× 670 0.5× 176 10.8k
Joon Haeng Rhee South Korea 38 1.9k 0.6× 2.1k 0.8× 1.7k 0.7× 1.0k 0.7× 559 0.4× 156 5.6k
Sun Nyunt Wai Sweden 50 1.4k 0.5× 3.1k 1.2× 2.6k 1.1× 1.0k 0.7× 994 0.7× 146 7.5k
Ian S. Roberts United Kingdom 47 864 0.3× 3.0k 1.1× 1.2k 0.5× 1.4k 0.9× 1.1k 0.8× 161 7.6k
Joan Mecsas United States 38 1.2k 0.4× 3.0k 1.1× 1.5k 0.6× 2.3k 1.5× 738 0.5× 72 6.8k
Soman N. Abraham United States 66 5.6k 1.8× 4.0k 1.5× 1.8k 0.8× 1.1k 0.7× 569 0.4× 224 13.9k
Randall K. Holmes United States 52 2.0k 0.6× 2.9k 1.1× 3.9k 1.6× 1.9k 1.2× 1.1k 0.8× 157 8.4k

Countries citing papers authored by Ashok K. Chopra

Since Specialization
Citations

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

Fields of papers citing papers by Ashok K. Chopra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ashok K. Chopra. 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 Ashok K. Chopra. The network helps show where Ashok K. Chopra may publish in the future.

Co-authorship network of co-authors of Ashok K. Chopra

This figure shows the co-authorship network connecting the top 25 collaborators of Ashok K. Chopra. A scholar is included among the top collaborators of Ashok K. Chopra 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 Ashok K. Chopra. Ashok K. Chopra 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
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Asai, Akira, Yusuke Tsuchimoto, Hideko Ohama, et al.. (2022). CD34+CD10+CD19− Cells in Patients with Unhealthy Alcohol Use Stimulate the M2b Monocyte Polarization. Cells. 11(17). 2703–2703. 1 indexed citations
3.
Rosenzweig, Jason A., et al.. (2021). Plague vaccines: new developments in an ongoing search. Applied Microbiology and Biotechnology. 105(12). 4931–4941. 24 indexed citations
4.
Alamer, Edrous, Victor H. Carpio, Samad Ibitokou, et al.. (2019). Dissemination of non-typhoidal Salmonella during Plasmodium chabaudi infection affects anti-malarial immunity. Parasitology Research. 118(7). 2277–2285. 6 indexed citations
5.
6.
Grim, Christopher J., Елена Козлова, Jian Sha, et al.. (2013). Characterization of Aeromonas hydrophila Wound Pathotypes by Comparative Genomic and Functional Analyses of Virulence Genes. mBio. 4(2). e00064–13. 91 indexed citations
7.
Rosenzweig, Jason A. & Ashok K. Chopra. (2012). The effect of low shear force on the virulence potential of Yersinia pestis: new aspects that space-like growth conditions and the final frontier can teach us about a formidable pathogen. Frontiers in Cellular and Infection Microbiology. 2. 107–107. 6 indexed citations
8.
Suárez, Giovanni, Johanna C. Sierra, Tatiana E. Erova, et al.. (2009). A Type VI Secretion System Effector Protein, VgrG1, from Aeromonas hydrophila That Induces Host Cell Toxicity by ADP Ribosylation of Actin. Journal of Bacteriology. 192(1). 155–168. 167 indexed citations
9.
Galindo, Cristi L., et al.. (2007). A GLOBAL TRANSCRIPTIONAL ANALYSIS OF STREPTOCOCCUS PNEUMONIAE IN RESPONSE TO LOW-SHEAR MODELED MICROGRAVITY. Gravitational and Space Research. 19(2). 3 indexed citations
10.
Erova, Tatiana E., Jian Sha, Amy J. Horneman, et al.. (2007). Identification of a new hemolysin from diarrheal isolate SSU ofAeromonas hydrophila. FEMS Microbiology Letters. 275(2). 301–311. 32 indexed citations
11.
Comer, Jason E., Cristi L. Galindo, Fan Zhang, et al.. (2006). Murine macrophage transcriptional and functional responses to Bacillus anthracis edema toxin. Microbial Pathogenesis. 41(2-3). 96–110. 22 indexed citations
12.
Chopra, Ashok K., et al.. (2004). Antibacterial activity of root, stem and leaf extract of Cedrus deodara against Escherichia coli in vitro. 10(2). 101–103. 5 indexed citations
13.
Galindo, Cristi L., et al.. (2003). Identification of Aeromonas hydrophila Cytotoxic Enterotoxin-induced Genes in Macrophages Using Microarrays. Journal of Biological Chemistry. 278(41). 40198–40212. 44 indexed citations
14.
Chopra, Ashok K. & Clifford W. Houston. (1999). Enterotoxins in -associated gastroenteritis. Microbes and Infection. 1(13). 1129–1137. 170 indexed citations
15.
Chopra, Ashok K., et al.. (1998). Antisera to selected outer membrane proteins ofVibrio choleraeprotect against challenge with homologous and heterologous strains ofV. cholerae. FEMS Immunology & Medical Microbiology. 22(4). 303–308. 37 indexed citations
16.
Peterson, J, William Dickey, Shamsher S. Saini, et al.. (1996). Phospholipase A2 activating protein and idiopathic inflammatory bowel disease.. Gut. 39(5). 698–704. 31 indexed citations
17.
Klimpel, Gary R., K E Langley, Jette Wypych, et al.. (1996). A role for stem cell factor (SCF): c-kit interaction(s) in the intestinal tract response to Salmonella typhimurium infection.. The Journal of Experimental Medicine. 184(1). 271–276. 39 indexed citations
18.
Prasad, Rajendra, Ashok K. Chopra, Parvathi Chary, et al.. (1995). Effect of clonedSalmonella typhimuriumenterotoxin on rabbit intestinal motility. FEMS Microbiology Letters. 134(2-3). 239–244. 12 indexed citations
19.
Singh, Indu, Dorian H. Coppenhaver, Ashok K. Chopra, & Samuel Baron. (1992). Further Characterization of a Broad-Spectrum Antiviral Substance in Human Serum. Viral Immunology. 5(4). 293–303. 9 indexed citations
20.
Chopra, Ashok K., Clifford W. Houston, Johnny W. Peterson, & John J. Mekalanos. (1987). Chromosomal DNA contains the gene coding for Salmonella enterotoxin. FEMS Microbiology Letters. 43(3). 345–349. 10 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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