Shruti Rao

1.0k total citations
31 papers, 406 citations indexed

About

Shruti Rao is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Shruti Rao has authored 31 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Cancer Research and 7 papers in Genetics. Recurrent topics in Shruti Rao's work include Cancer Genomics and Diagnostics (13 papers), Genomics and Rare Diseases (7 papers) and Bioinformatics and Genomic Networks (6 papers). Shruti Rao is often cited by papers focused on Cancer Genomics and Diagnostics (13 papers), Genomics and Rare Diseases (7 papers) and Bioinformatics and Genomic Networks (6 papers). Shruti Rao collaborates with scholars based in United States, Canada and India. Shruti Rao's co-authors include Subha Madhavan, Simina M. Boca, Cathy Wu, Peter B. McGarvey, Hongzhan Huang, Sona Vasudevan, Deborah Ritter, Shashikant Kulkarni, Christine Micheel and Sharon E. Plon and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Shruti Rao

29 papers receiving 404 citations

Peers

Shruti Rao

GENET

ONCOL

PRM

Mattias Vesterlund Sweden

Annamaria Salvati Italy

Hung-I Harry Chen United States

Kaihong Liu United States

Laurent Winckers Netherlands

Xiaolong Cheng China

Shi‐Jian Ding China

Amr H. Allam Australia

Chandler Gatenbee United States

Aparna Gorthi United States

Mattias Vesterlund Sweden

Shruti Rao

497 ×2.6

141 ×1.1

63 ×0.8

GENET

125 ×1.9

ONCOL

35 ×0.7

PRM

Citations per year, relative to Shruti Rao Shruti Rao (= 1×) peers Mattias Vesterlund

Countries citing papers authored by Shruti Rao

Since Specialization

Citations

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

Fields of papers citing papers by Shruti Rao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shruti Rao

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

All Works

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20 of 20 papers shown

Rao, Shruti, et al.. (2024). DSTER: A Dual-Stream Transformer-based Emotion Recognition Model through Keystrokes Dynamics. 1–10. 1 indexed citations

Church, Alanna J., Shruti Rao, Arpad Danos, et al.. (2022). Standardized evidence-based approach for assessment of oncogenic and clinical significance of NTRK fusions. Cancer Genetics. 264-265. 50–59. 6 indexed citations

Kancherla, Jayaram, Shruti Rao, Krithika Bhuvaneshwar, et al.. (2020). Evidence-Based Network Approach to Recommending Targeted Cancer Therapies. JCO Clinical Cancer Informatics. 4(4). 71–88. 7 indexed citations

Boca, Simina M., Krithika Bhuvaneshwar, Virneliz Fernández-Vega, et al.. (2020). Prioritizing targeted therapies in an evidence-based manner, integrating biological context and functional precision medicine.. Journal of Clinical Oncology. 38(15_suppl). e14065–e14065. 2 indexed citations

Ritter, Deborah, Shruti Rao, Shashikant Kulkarni, et al.. (2019). A case for expert curation: an overview of cancer curation in the Clinical Genome Resource (ClinGen). Molecular Case Studies. 5(5). a004739–a004739. 11 indexed citations

Hau, Andrew M., Sounak Gupta, Kazufumi Nakashima, et al.. (2019). Dynamic Regulation of Caveolin-1 Phosphorylation and Caveolae Formation by Mammalian Target of Rapamycin Complex 2 in Bladder Cancer Cells. American Journal Of Pathology. 189(9). 1846–1862. 15 indexed citations

Calvert, Valerie, Shruti Rao, Simina M. Boca, et al.. (2018). Acquired Resistance to a MET Antibody In Vivo Can Be Overcome by the MET Antibody Mixture Sym015. Molecular Cancer Therapeutics. 17(6). 1259–1270. 9 indexed citations

Danos, Arpad, Deborah Ritter, Alex H. Wagner, et al.. (2018). Adapting crowdsourced clinical cancer curation in CIViC to the ClinGen minimum variant level data community‐driven standards. Human Mutation. 39(11). 1721–1732. 12 indexed citations

Fong, Allan, Robert A. Beckman, Shruti Rao, et al.. (2018). Eye-Tracking Study to Enhance Usability of Molecular Diagnostics Reports in Cancer Precision Medicine. JCO Precision Oncology. 2(2). 1–11. 5 indexed citations

10.

Ren, Jia, Gang Li, Karen Ross, et al.. (2018). iTextMine: integrated text-mining system for large-scale knowledge extraction from the literature. Database. 2018. 16 indexed citations

11.

Boca, Simina M., Orestis A. Panagiotou, Shruti Rao, Peter B. McGarvey, & Subha Madhavan. (2018). Future of Evidence Synthesis in Precision Oncology: Between Systematic Reviews and Biocuration. JCO Precision Oncology. 2(2). 1–1. 7 indexed citations

12.

Rao, Shruti, et al.. (2017). UD_GU_BioTM at TREC 2017: Precision Medicine Track.. Text REtrieval Conference. 2 indexed citations

13.

Rao, Shruti, et al.. (2017). eGARD: Extracting associations between genomic anomalies and drug responses from text. PLoS ONE. 12(12). e0189663–e0189663. 9 indexed citations

14.

Boca, Simina M., Michael A. Harris, Shruti Rao, et al.. (2016). Discovery of Metabolic Biomarkers for Duchenne Muscular Dystrophy within a Natural History Study. PLoS ONE. 11(4). e0153461–e0153461. 31 indexed citations

15.

Dai, Hong-Jie, Po‐Ting Lai, Jitendra Jonnagaddala, et al.. (2016). MET network in PubMed: a text-mined network visualization and curation system. Database. 2016. baw090–baw090. 5 indexed citations

16.

Ritter, Deborah, Sameek Roychowdhury, Angshumoy Roy, et al.. (2016). Somatic cancer variant curation and harmonization through consensus minimum variant level data. Genome Medicine. 8(1). 117–117. 42 indexed citations

17.

Wang, Difei, et al.. (2015). SNP2Structure: A Public and Versatile Resource for Mapping and Three-Dimensional Modeling of Missense SNPs on Human Protein Structures. Computational and Structural Biotechnology Journal. 13. 514–519. 12 indexed citations

18.

McGarvey, Peter B., Barış Ethem Süzek, James N. Baraniuk, et al.. (2014). In silico analysis of autoimmune diseases and genetic relationships to vaccination against infectious diseases. BMC Immunology. 15(1). 61–61. 17 indexed citations

19.

McCaffrey, Timothy A., Jannet F. Lewis, Richard J. Katz, et al.. (2013). Genomic Profiling Reveals the Potential Role of TCL1A and MDR1 Deficiency in Chemotherapy-Induced Cardiotoxicity. International Journal of Biological Sciences. 9(4). 350–360. 24 indexed citations

20.

Rao, Shruti, et al.. (2013). Structural and functional studies of S-adenosyl-L-methionine binding proteins: a ligand-centric approach. BMC Structural Biology. 13(1). 6–6. 40 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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