Sonika Tyagi

1.8k total citations
32 papers, 884 citations indexed

About

Sonika Tyagi is a scholar working on Molecular Biology, Cancer Research and Artificial Intelligence. According to data from OpenAlex, Sonika Tyagi has authored 32 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 11 papers in Cancer Research and 4 papers in Artificial Intelligence. Recurrent topics in Sonika Tyagi's work include MicroRNA in disease regulation (6 papers), Genetics, Bioinformatics, and Biomedical Research (5 papers) and RNA modifications and cancer (5 papers). Sonika Tyagi is often cited by papers focused on MicroRNA in disease regulation (6 papers), Genetics, Bioinformatics, and Biomedical Research (5 papers) and RNA modifications and cancer (5 papers). Sonika Tyagi collaborates with scholars based in Australia, India and United Kingdom. Sonika Tyagi's co-authors include Amanda L. Anderson, Eileen A. McLaughlin, Janet E. Holt, Simone J. Stanger, Bettina P. Mihalas, Brett Nixon, Nicholas K. Hayward, Derek J. Nancarrow, David C. Whiteman and Andrew L. Eamens and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Sonika Tyagi

30 papers receiving 873 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sonika Tyagi Australia 14 591 367 199 140 86 32 884
Peng Yuan China 17 831 1.4× 273 0.7× 120 0.6× 196 1.4× 125 1.5× 53 1.3k
Min Mo China 16 469 0.8× 143 0.4× 105 0.5× 118 0.8× 109 1.3× 28 878
Brett R. White United States 13 482 0.8× 209 0.6× 169 0.8× 94 0.7× 73 0.8× 38 895
Jessica M. Bryant United States 14 545 0.9× 177 0.5× 92 0.5× 177 1.3× 60 0.7× 23 904
Hongxi Zhao China 15 396 0.7× 157 0.4× 70 0.4× 97 0.7× 173 2.0× 58 748
A. Lefèvre France 15 371 0.6× 163 0.4× 224 1.1× 191 1.4× 161 1.9× 31 808
Gabriel González United States 11 309 0.5× 212 0.6× 83 0.4× 147 1.1× 170 2.0× 15 614
Yong Woo United States 14 628 1.1× 101 0.3× 63 0.3× 203 1.4× 56 0.7× 16 917
Zhiqiang Yan China 14 316 0.5× 47 0.1× 94 0.5× 135 1.0× 79 0.9× 52 691
Yanwu Zeng China 12 489 0.8× 85 0.2× 32 0.2× 131 0.9× 45 0.5× 32 827

Countries citing papers authored by Sonika Tyagi

Since Specialization
Citations

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

Fields of papers citing papers by Sonika Tyagi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonika Tyagi

This figure shows the co-authorship network connecting the top 25 collaborators of Sonika Tyagi. A scholar is included among the top collaborators of Sonika Tyagi 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 Sonika Tyagi. Sonika Tyagi 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
1.
Mitra, Mithun K., et al.. (2025). Navigating the Multiverse: a Hitchhiker’s guide to selecting harmonization methods for multimodal biomedical data. Biology Methods and Protocols. 10(1). bpaf028–bpaf028. 1 indexed citations
2.
Maćešić, Nenad, et al.. (2025). EHR-ML: A data-driven framework for designing machine learning applications with electronic health records. International Journal of Medical Informatics. 196. 105816–105816. 5 indexed citations
3.
4.
5.
Maćešić, Nenad, et al.. (2023). EHR-QC: A streamlined pipeline for automated electronic health records standardisation and preprocessing to predict clinical outcomes. Journal of Biomedical Informatics. 147. 104509–104509. 6 indexed citations
6.
Ortega, Javier Gómez, David Raubenheimer, Sonika Tyagi, Christen K. Mirth, & Matthew D. W. Piper. (2023). Biosynthetic constraints on amino acid synthesis at the base of the food chain may determine their use in higher-order consumer genomes. PLoS Genetics. 19(2). e1010635–e1010635. 3 indexed citations
7.
Wang, Carol A., Tamás Zakár, Jonathan Paúl, et al.. (2022). Preterm labor with and without chorioamnionitis is associated with activation of myometrial inflammatory networks: a comprehensive transcriptomic analysis. American Journal of Obstetrics and Gynecology. 228(3). 330.e1–330.e18. 3 indexed citations
8.
Chen, Tyrone, et al.. (2021). A Survey of Current Resources to Study lncRNA-Protein Interactions. Non-Coding RNA. 7(2). 33–33. 11 indexed citations
9.
Chen, Tyrone, et al.. (2021). Multi-omics data harmonisation for the discovery of COVID-19 drug targets. Figshare. 9. 1 indexed citations
10.
Kuhlmann, Levin, et al.. (2020). Towards a comprehensive pipeline to identify and functionally annotate long noncoding RNA (lncRNA). Computers in Biology and Medicine. 127. 104028–104028. 18 indexed citations
11.
Saaristo, Minna, John A. Craft, Sonika Tyagi, et al.. (2020). Transcriptome-wide changes associated with the reproductive behaviour of male guppies exposed to 17α-ethinyl estradiol. Environmental Pollution. 270. 116286–116286. 7 indexed citations
12.
Tyagi, Sonika, et al.. (2019). Computational prediction of microRNAs in marine bacteria of the genus Thalassospira. PLoS ONE. 14(3). e0212996–e0212996. 11 indexed citations
13.
Tyagi, Sonika, et al.. (2019). Navigating the non-coding genome in heart development and Congenital Heart Disease. Differentiation. 107. 11–23. 15 indexed citations
14.
Stefanidis, Aneta, et al.. (2018). Insights into the neurochemical signature of the Innervation of Beige Fat. Molecular Metabolism. 11. 47–58. 13 indexed citations
15.
Watson‐Haigh, Nathan S., Jerico Revote, Radosław Suchecki, et al.. (2016). Towards an open, collaborative, reusable framework for sharing hands-on bioinformatics training workshops. Briefings in Bioinformatics. 18(2). bbw013–bbw013. 4 indexed citations
16.
McLaughlin, Eileen A., Simone J. Stanger, Amanda L. Anderson, et al.. (2016). Characterisation of mouse epididymosomes reveals a complex profile of microRNAs and a potential mechanism for modification of the sperm epigenome. Scientific Reports. 6(1). 31794–31794. 186 indexed citations
17.
Nixon, Brett, Simone J. Stanger, Bettina P. Mihalas, et al.. (2015). Next Generation Sequencing Analysis Reveals Segmental Patterns of microRNA Expression in Mouse Epididymal Epithelial Cells. PLoS ONE. 10(8). e0135605–e0135605. 56 indexed citations
18.
Nixon, Brett, Simone J. Stanger, Bettina P. Mihalas, et al.. (2015). The MicroRNA Signature of Mouse Spermatozoa Is Substantially Modified During Epididymal Maturation1. Biology of Reproduction. 93(4). 91–91. 161 indexed citations
19.
Nancarrow, Derek J., Andrew D. Clouston, B. Mark Smithers, et al.. (2011). Whole Genome Expression Array Profiling Highlights Differences in Mucosal Defense Genes in Barrett's Esophagus and Esophageal Adenocarcinoma. PLoS ONE. 6(7). e22513–e22513. 35 indexed citations
20.
Botelho, Natalia K., Sarah J. Lord, Sonika Tyagi, et al.. (2010). Gene expression alterations in formalin-fixed, paraffin-embedded Barrett esophagus and esophageal adenocarcinoma tissues.. Cancer Biology & Therapy. 10(2). 172–179. 18 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Peng Yuan Breakdown of academic impact, for papers by Min Mo Breakdown of academic impact, for papers by Brett R. White Breakdown of academic impact, for papers by Jessica M. Bryant Breakdown of academic impact, for papers by Hongxi Zhao Breakdown of academic impact, for papers by A. Lefèvre Breakdown of academic impact, for papers by Gabriel González Breakdown of academic impact, for papers by Yong Woo Breakdown of academic impact, for papers by Zhiqiang Yan Breakdown of academic impact, for papers by Yanwu Zeng
Rankless by CCL
2026