Dorsa Varshavi

2.9k total citations
10 papers, 369 citations indexed

About

Dorsa Varshavi is a scholar working on Molecular Biology, Physiology and Computational Theory and Mathematics. According to data from OpenAlex, Dorsa Varshavi has authored 10 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Computational Theory and Mathematics. Recurrent topics in Dorsa Varshavi's work include Metabolomics and Mass Spectrometry Studies (8 papers), Adipose Tissue and Metabolism (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Dorsa Varshavi is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (8 papers), Adipose Tissue and Metabolism (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Dorsa Varshavi collaborates with scholars based in United Kingdom, Canada and United States. Dorsa Varshavi's co-authors include Jeremy R. Everett, Elizabeth A. Shephard, Kirill Veselkov, Flora Scott, Anthony C. Dona, Michael Kyriakides, Ian Phillips, Rafael Teixeira Freire, Hector C. Keun and Nicola McCarthy and has published in prestigious journals such as Biochemical Pharmacology, Chemical Research in Toxicology and Frontiers in Physiology.

In The Last Decade

Dorsa Varshavi

9 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dorsa Varshavi United Kingdom 7 241 50 43 43 39 10 369
Flora Scott United Kingdom 7 255 1.1× 83 1.7× 42 1.0× 43 1.0× 29 0.7× 8 392
Ruchika Bhawal United States 12 223 0.9× 41 0.8× 23 0.5× 54 1.3× 35 0.9× 24 453
Cristina Licari Italy 8 274 1.1× 42 0.8× 42 1.0× 72 1.7× 33 0.8× 10 404
Anita Annas Sweden 13 152 0.6× 35 0.7× 31 0.7× 35 0.8× 56 1.4× 25 514
Makoto Horikawa Japan 16 305 1.3× 125 2.5× 20 0.5× 79 1.8× 58 1.5× 35 678
Hyuck Jun Mok South Korea 11 327 1.4× 45 0.9× 15 0.3× 74 1.7× 63 1.6× 13 488
Cornelia Röhring Germany 6 306 1.3× 102 2.0× 30 0.7× 78 1.8× 28 0.7× 6 558
Caroline Noyon Belgium 9 230 1.0× 60 1.2× 17 0.4× 30 0.7× 15 0.4× 13 438
Riccardo Di Guida United Kingdom 5 291 1.2× 40 0.8× 60 1.4× 104 2.4× 21 0.5× 5 421
Brandon J. Kennedy United States 4 196 0.8× 25 0.5× 25 0.6× 38 0.9× 16 0.4× 7 310

Countries citing papers authored by Dorsa Varshavi

Since Specialization
Citations

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

Fields of papers citing papers by Dorsa Varshavi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dorsa Varshavi

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

All Works

10 of 10 papers shown
1.
Lawson, Thomas N., Xiaojing Li, Gavin R. Lloyd, et al.. (2024). Metabolomics Simultaneously Derives Benchmark Dose Estimates and Discovers Metabolic Biotransformations in a Rat Bioassay. Chemical Research in Toxicology. 37(6). 923–934.
2.
Varshavi, Dorsa, Flora Scott, Frank S. Pullen, et al.. (2022). Treatment of wild-type mice with 2,3-butanediol, a urinary biomarker of Fmo5−/− mice, decreases plasma cholesterol and epididymal fat deposition. Frontiers in Physiology. 13. 859681–859681. 6 indexed citations
4.
Sweet, Michael, Mark Bulling, Dorsa Varshavi, et al.. (2021). Species-Specific Variations in the Metabolomic Profiles of Acropora hyacinthus and Acropora millepora Mask Acute Temperature Stress Effects in Adult Coral Colonies. Frontiers in Marine Science. 8. 6 indexed citations
6.
Phillips, Ian, et al.. (2020). Flavin-Containing Monooxygenase 1 Catalyzes the Production of Taurine from Hypotaurine. Drug Metabolism and Disposition. 48(5). 378–385. 45 indexed citations
7.
Varshavi, Dorsa, Flora Scott, Ian Phillips, et al.. (2018). Metabolic Biomarkers of Ageing in C57BL/6J Wild-Type and Flavin-Containing Monooxygenase 5 (FMO5)-Knockout Mice. Frontiers in Molecular Biosciences. 5. 28–28. 16 indexed citations
8.
Dona, Anthony C., Michael Kyriakides, Flora Scott, et al.. (2016). A guide to the identification of metabolites in NMR-based metabonomics/metabolomics experiments. Computational and Structural Biotechnology Journal. 14. 135–153. 228 indexed citations
9.
Varshavi, Dorsa, et al.. (2016). The Role of Pharmacometabonomics in Predicting Drug Pharmacokinetics. Greenwich Academic Literature Archive (University of Greenwich). 1(1). 5–8. 5 indexed citations
10.
Melidoni, Anna N., Diana Hernandez, Bilal Omar, et al.. (2015). The phenotype of a knockout mouse identifies flavin-containing monooxygenase 5 (FMO5) as a regulator of metabolic ageing. Biochemical Pharmacology. 96(3). 267–277. 39 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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