Arjun Prasad

4.5k total citations · 2 hit papers
17 papers, 2.1k citations indexed

About

Arjun Prasad is a scholar working on Molecular Biology, Molecular Medicine and Genetics. According to data from OpenAlex, Arjun Prasad has authored 17 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Molecular Medicine and 4 papers in Genetics. Recurrent topics in Arjun Prasad's work include Antibiotic Resistance in Bacteria (6 papers), Genomics and Phylogenetic Studies (5 papers) and Chromosomal and Genetic Variations (3 papers). Arjun Prasad is often cited by papers focused on Antibiotic Resistance in Bacteria (6 papers), Genomics and Phylogenetic Studies (5 papers) and Chromosomal and Genetic Variations (3 papers). Arjun Prasad collaborates with scholars based in United States, United Kingdom and Australia. Arjun Prasad's co-authors include William Klimke, Michael Feldgarden, Daniel H. Haft, Vyacheslav Brover, Glenn E. Tillman, Gregory H. Tyson, Narjol González‐Escalona, Julie Haendiges, Jonathan G. Frye and Maria Hoffmann and has published in prestigious journals such as Scientific Reports, Genome Research and Human Molecular Genetics.

In The Last Decade

Arjun Prasad

17 papers receiving 2.0k citations

Hit Papers

Validating the AMRFinder Tool and Resistance Gene Databas... 2019 2026 2021 2023 2019 2021 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arjun Prasad United States 10 850 841 456 421 373 17 2.1k
Santiago Castillo‐Ramírez Mexico 24 709 0.8× 463 0.6× 409 0.9× 101 0.2× 250 0.7× 71 1.6k
M. J. Rosovitz United States 11 933 1.1× 318 0.4× 535 1.2× 281 0.7× 423 1.1× 16 1.8k
Jean Cury France 16 967 1.1× 569 0.7× 429 0.9× 146 0.3× 746 2.0× 26 1.8k
Gerry Tonkin‐Hill United Kingdom 15 576 0.7× 285 0.3× 239 0.5× 178 0.4× 213 0.6× 35 1.4k
Kevin Vanneste Belgium 24 1.2k 1.5× 182 0.2× 130 0.3× 225 0.5× 244 0.7× 90 2.1k
Francesco Comandatore Italy 21 418 0.5× 313 0.4× 175 0.4× 72 0.2× 200 0.5× 70 1.7k
Svenn D’Hert Belgium 4 1.2k 1.4× 165 0.2× 156 0.3× 150 0.4× 460 1.2× 4 1.9k
Keith E. Weaver United States 27 944 1.1× 196 0.2× 157 0.3× 218 0.5× 607 1.6× 51 1.7k
L.T. Gama Portugal 31 497 0.6× 274 0.3× 133 0.3× 353 0.8× 111 0.3× 136 3.1k
A G Steigerwalt United States 24 673 0.8× 138 0.2× 634 1.4× 303 0.7× 334 0.9× 25 1.8k

Countries citing papers authored by Arjun Prasad

Since Specialization
Citations

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

Fields of papers citing papers by Arjun Prasad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arjun Prasad

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

All Works

17 of 17 papers shown
1.
Mack, Andrew R, Andrea M. Hujer, María F. Mojica, et al.. (2025). β-Lactamase diversity in Acinetobacter baumannii. Antimicrobial Agents and Chemotherapy. 69(3). e0078424–e0078424. 5 indexed citations
2.
Mack, Andrew R, Andrea M. Hujer, María F. Mojica, et al.. (2025). β-Lactamase diversity in Pseudomonas aeruginosa. Antimicrobial Agents and Chemotherapy. 69(3). e0078524–e0078524. 6 indexed citations
3.
Lindsey, Rebecca L., Arjun Prasad, Michael Feldgarden, et al.. (2023). Identification and Characterization of ten Escherichia coli Strains Encoding Novel Shiga Toxin 2 Subtypes, Stx2n as Well as Stx2j, Stx2m, and Stx2o, in the United States. Microorganisms. 11(10). 2561–2561. 11 indexed citations
4.
Feldgarden, Michael, Vyacheslav Brover, Boris Fedorov, et al.. (2022). Curation of the AMRFinderPlus databases: applications, functionality and impact. Microbial Genomics. 8(6). 23 indexed citations
5.
Feldgarden, Michael, Vyacheslav Brover, Narjol González‐Escalona, et al.. (2021). AMRFinderPlus and the Reference Gene Catalog facilitate examination of the genomic links among antimicrobial resistance, stress response, and virulence. Scientific Reports. 11(1). 12728–12728. 733 indexed citations breakdown →
6.
Feldgarden, Michael, Vyacheslav Brover, Daniel H. Haft, et al.. (2019). Validating the AMRFinder Tool and Resistance Gene Database by Using Antimicrobial Resistance Genotype-Phenotype Correlations in a Collection of Isolates. Antimicrobial Agents and Chemotherapy. 63(11). 851 indexed citations breakdown →
7.
Partridge, Sally R., Vincenzo Di Pilato, Yohei Doi, et al.. (2018). Proposal for assignment of allele numbers for mobile colistin resistance (mcr) genes. Journal of Antimicrobial Chemotherapy. 73(10). 2625–2630. 81 indexed citations
8.
Prasad, Arjun, et al.. (2016). In vitro evaluation of anthelmintic efficacy of bromelain against goat gastrointestinal nematodes.. Journal of Veterinary Parasitology. 30(2). 68–74. 3 indexed citations
9.
Prasad, Arjun, Lingyun Song, Gregory E. Crawford, et al.. (2016). Stringent comparative sequence analysis reveals SOX10 as a putative inhibitor of glial cell differentiation. BMC Genomics. 17(1). 887–887. 10 indexed citations
10.
Prasad, Arjun, James C. Mullikin, & Eric D. Green. (2012). A scalable and flexible approach for investigating the genomic landscapes of phylogenetic incongruence. Molecular Phylogenetics and Evolution. 66(3). 1067–1074. 3 indexed citations
11.
Prasad, Arjun, et al.. (2008). Confirming the Phylogeny of Mammals by Use of Large Comparative Sequence Data Sets. Molecular Biology and Evolution. 25(9). 1795–1808. 200 indexed citations
12.
Portnoy, Matthew E., Anthony Antonellis, Elliott H. Margulies, et al.. (2005). Detection of potential GDF6 regulatory elements by multispecies sequence comparisons and identification of a skeletal joint enhancer. Genomics. 86(3). 295–305. 15 indexed citations
13.
Antonellis, Anthony, William Bennett, Trevelyan R. Menheniott, et al.. (2005). Deletion of long-range sequences at Sox10 compromises developmental expression in a mouse model of Waardenburg–Shah (WS4) syndrome. Human Molecular Genetics. 15(2). 259–271. 57 indexed citations
14.
Thomas, James W., Arjun Prasad, Shih-Queen Lee-Lin, et al.. (2002). Parallel Construction of Orthologous Sequence-Ready Clone Contig Maps in Multiple Species. Genome Research. 12(8). 1277–1285. 56 indexed citations
15.
Amarnath, S. & Arjun Prasad. (2000). Induced mutations in homozygous and heterozygous genotypes of tobacco. Indian Journal of Genetics and Plant Breeding (The). 60(2). 171–176. 1 indexed citations
16.
Srivastava, V. K., et al.. (1994). Pathology due to Fasciola jacksoni in Indian elephants (Elephas indicus). The Indian Journal of Animal Sciences. 64(8). 4 indexed citations
17.
Prasad, Arjun, et al.. (1981). Studies on some biochemical constituents of blood in Ongole cows [India]. 4 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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