Urmi Trivedi

1.8k total citations
28 papers, 984 citations indexed

About

Urmi Trivedi is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Urmi Trivedi has authored 28 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Genetics and 7 papers in Plant Science. Recurrent topics in Urmi Trivedi's work include Genomics and Phylogenetic Studies (7 papers), Chromosomal and Genetic Variations (4 papers) and Genetic diversity and population structure (4 papers). Urmi Trivedi is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Chromosomal and Genetic Variations (4 papers) and Genetic diversity and population structure (4 papers). Urmi Trivedi collaborates with scholars based in United Kingdom, Netherlands and United States. Urmi Trivedi's co-authors include Mark Blaxter, Marian Thomson, Sujai Kumar, Fiona Oliver, Peter D. Keightley, Karim Gharbi, Jack D. Shutt, James A. Nicholls, Witold Wachowiak and Annika Perry and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Urmi Trivedi

25 papers receiving 966 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Urmi Trivedi United Kingdom 18 403 335 200 189 174 28 984
Eiji Nagayasu Japan 13 498 1.2× 207 0.6× 223 1.1× 336 1.8× 102 0.6× 30 1.1k
Patrice Duroux France 3 639 1.6× 216 0.6× 248 1.2× 304 1.6× 100 0.6× 6 1.3k
Federico Abascal Spain 3 787 2.0× 284 0.8× 278 1.4× 268 1.4× 66 0.4× 3 1.4k
Romain Gallet France 18 319 0.8× 335 1.0× 281 1.4× 334 1.8× 47 0.3× 31 1.0k
David A. Turissini United States 16 302 0.7× 439 1.3× 271 1.4× 82 0.4× 287 1.6× 23 985
Shehre-Banoo Malik United States 11 491 1.2× 122 0.4× 213 1.1× 155 0.8× 108 0.6× 11 919
Joanne R. Chapman United Kingdom 16 335 0.8× 373 1.1× 300 1.5× 248 1.3× 62 0.4× 30 1.4k
Yun-Xin Fu United States 17 385 1.0× 582 1.7× 127 0.6× 146 0.8× 71 0.4× 35 1.0k
Fernando Álvarez-Valín Uruguay 20 658 1.6× 172 0.5× 129 0.6× 212 1.1× 256 1.5× 40 1.1k
Д. В. Муха Russia 14 212 0.5× 563 1.7× 163 0.8× 94 0.5× 127 0.7× 53 982

Countries citing papers authored by Urmi Trivedi

Since Specialization
Citations

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

Fields of papers citing papers by Urmi Trivedi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Urmi Trivedi

This figure shows the co-authorship network connecting the top 25 collaborators of Urmi Trivedi. A scholar is included among the top collaborators of Urmi Trivedi 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 Urmi Trivedi. Urmi Trivedi 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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Jacob, Jobin John, Bhavini Shah, Veena Iyer, et al.. (2025). Recent emergence of cephalosporin-resistant Salmonella Typhi in India due to the endemic clone acquiring IncFIB(K) plasmid encoding bla CTX-M-15 gene. Microbiology Spectrum. 13(5). e0087524–e0087524.
3.
Trivedi, Urmi, et al.. (2024). Benchmarking of Hi-C tools for scaffolding plant genomes obtained from PacBio HiFi and ONT reads. SHILAP Revista de lepidopterología. 4. 1462923–1462923. 3 indexed citations
4.
Shutt, Jack D., Urmi Trivedi, & James A. Nicholls. (2021). Faecal metabarcoding reveals pervasive long-distance impacts of garden bird feeding. Proceedings of the Royal Society B Biological Sciences. 288(1951). 20210480–20210480. 17 indexed citations
5.
Cook, Ryan, Urmi Trivedi, Christine E. R. Dodd, et al.. (2021). Hybrid assembly of an agricultural slurry virome reveals a diverse and stable community with the potential to alter the metabolism and virulence of veterinary pathogens. Microbiome. 9(1). 65–65. 48 indexed citations
6.
Charlesworth, Deborah, et al.. (2021). PromethION Sequencing and Assembly of the Genome of Micropoecilia picta, a Fish with a Highly Degenerated Y Chromosome. Genome Biology and Evolution. 13(9). 5 indexed citations
7.
Thomson, Marian, et al.. (2020). A telomere-to-telomere assembly of Oscheius tipulae and the evolution of rhabditid nematode chromosomes. G3 Genes Genomes Genetics. 11(1). 42 indexed citations
8.
Shutt, Jack D., James A. Nicholls, Urmi Trivedi, et al.. (2020). Gradients in richness and turnover of a forest passerine's diet prior to breeding: A mixed model approach applied to faecal metabarcoding data. Molecular Ecology. 29(6). 1199–1213. 35 indexed citations
9.
Schiffer, Philipp H., Étienne Danchin, Ann M. Burnell, et al.. (2019). Signatures of the Evolution of Parthenogenesis and Cryptobiosis in the Genomes of Panagrolaimid Nematodes. iScience. 21. 587–602. 29 indexed citations
10.
Clark, Melody S., Joseph I. Hoffman, Andrew J. Davies, et al.. (2019). Lack of long-term acclimation in Antarctic encrusting species suggests vulnerability to warming. Nature Communications. 10(1). 3383–3383. 28 indexed citations
11.
Parker, Darren J., R. Axel W. Wiberg, Urmi Trivedi, et al.. (2018). Inter and Intraspecific Genomic Divergence in Drosophila montana Shows Evidence for Cold Adaptation. Genome Biology and Evolution. 10(8). 2086–2101. 21 indexed citations
12.
Álvarez-García, Virginia, Clare Bartos, Urmi Trivedi, et al.. (2018). A simple and robust real-time qPCR method for the detection of PIK3CA mutations. Scientific Reports. 8(1). 4290–4290. 34 indexed citations
13.
McGrann, Graham, Ambrose Andongabo, Elisabet Sjökvist, et al.. (2016). The genome of the emerging barley pathogen Ramularia collo-cygni. BMC Genomics. 17(1). 584–584. 26 indexed citations
14.
Wachowiak, Witold, Urmi Trivedi, Annika Perry, & Stephen Cavers. (2015). Comparative transcriptomics of a complex of four European pine species. BMC Genomics. 16(1). 234–234. 36 indexed citations
15.
Trivedi, Urmi, et al.. (2014). Quality control of next-generation sequencing data without a reference. Frontiers in Genetics. 5. 111–111. 59 indexed citations
16.
Pannebakker, Bart A., et al.. (2013). The Transcriptomic Basis of Oviposition Behaviour in the Parasitoid Wasp Nasonia vitripennis. PLoS ONE. 8(7). e68608–e68608. 20 indexed citations
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Hunt, Peter, Axel Martinelli, Katarzyna Modrzynska, et al.. (2010). Experimental evolution, genetic analysis and genome re-sequencing reveal the mutation conferring artemisinin resistance in an isogenic lineage of malaria parasites. BMC Genomics. 11(1). 499–499. 62 indexed citations
20.
Keightley, Peter D., Urmi Trivedi, Marian Thomson, et al.. (2009). Analysis of the genome sequences of three Drosophila melanogaster spontaneous mutation accumulation lines. Genome Research. 19(7). 1195–1201. 268 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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