Sivakumar Gowrisankar

1.6k total citations
11 papers, 1.0k citations indexed

About

Sivakumar Gowrisankar is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Sivakumar Gowrisankar has authored 11 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Physiology. Recurrent topics in Sivakumar Gowrisankar's work include RNA modifications and cancer (2 papers), Genomics and Rare Diseases (2 papers) and Complement system in diseases (2 papers). Sivakumar Gowrisankar is often cited by papers focused on RNA modifications and cancer (2 papers), Genomics and Rare Diseases (2 papers) and Complement system in diseases (2 papers). Sivakumar Gowrisankar collaborates with scholars based in United States, United Kingdom and Canada. Sivakumar Gowrisankar's co-authors include Yi Yu, Soumya Raychaudhuri, Mark J. Daly, Nicholas Katsanis, Perciliz L. Tan, Johanna M. Seddon, Robyn Reynolds, Heidi L. Rehm, Birgit Funke and Lisa Mahanta and has published in prestigious journals such as Nature Genetics, Cancer Research and Genome Research.

In The Last Decade

Sivakumar Gowrisankar

10 papers receiving 1.0k citations

Peers

Sivakumar Gowrisankar
Yukio Sassa Japan
Patrick Danoy Australia
Jawahir Y. Mohamed Saudi Arabia
Theru A. Sivakumaran United States
Haike Reznik‐Wolf Israel
Murilo Wendeborn Rodrigues United States
Kyoichi Takahashi United States
Louise Ocaka United Kingdom
Sylvia W. Y. Chiang Hong Kong
Y Moromizato United States
Yukio Sassa Japan
Sivakumar Gowrisankar
Citations per year, relative to Sivakumar Gowrisankar Sivakumar Gowrisankar (= 1×) peers Yukio Sassa

Countries citing papers authored by Sivakumar Gowrisankar

Since Specialization
Citations

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

Fields of papers citing papers by Sivakumar Gowrisankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sivakumar Gowrisankar

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

All Works

11 of 11 papers shown
1.
Gowrisankar, Sivakumar, et al.. (2023). Abstract 927: Studying novel patient population using integrated real-world data. Cancer Research. 83(7_Supplement). 927–927.
2.
3.
Pugh, Trevor J., Sami S. Amr, Mark Bowser, et al.. (2015). VisCap: inference and visualization of germ-line copy-number variants from targeted clinical sequencing data. Genetics in Medicine. 18(7). 712–719. 55 indexed citations
4.
Mandelker, Diana, Sami S. Amr, Trevor J. Pugh, et al.. (2014). Comprehensive Diagnostic Testing for Stereocilin. Journal of Molecular Diagnostics. 16(6). 639–647. 46 indexed citations
5.
Pugh, Trevor J., Melissa Kelly, Sivakumar Gowrisankar, et al.. (2014). The landscape of genetic variation in dilated cardiomyopathy as surveyed by clinical DNA sequencing. Genetics in Medicine. 16(8). 601–608. 245 indexed citations
6.
Seddon, Johanna M., Yi Yu, Elizabeth C. Miller, et al.. (2013). Rare variants in CFI, C3 and C9 are associated with high risk of advanced age-related macular degeneration. Nature Genetics. 45(11). 1366–1370. 262 indexed citations
7.
Raychaudhuri, Soumya, Oleg Iartchouk, Perciliz L. Tan, et al.. (2011). A rare penetrant mutation in CFH confers high risk of age-related macular degeneration. Nature Genetics. 43(12). 1232–1236. 232 indexed citations
8.
Gowrisankar, Sivakumar, Jordan Lerner‐Ellis, Stephanie Cox, et al.. (2010). Evaluation of Second-Generation Sequencing of 19 Dilated Cardiomyopathy Genes for Clinical Applications. Journal of Molecular Diagnostics. 12(6). 818–827. 27 indexed citations
9.
Gowrisankar, Sivakumar & Anil G. Jegga. (2009). Regression based predictor for p53 transactivation. BMC Bioinformatics. 10(1). 215–215. 7 indexed citations
10.
Takemoto, Clifford M., Anil G. Jegga, Stephanie Brandal, et al.. (2008). Mast cell transcriptional networks. Blood Cells Molecules and Diseases. 41(1). 82–90. 26 indexed citations
11.
Livingston, Robert, Andrew von Niederhausern, Anil G. Jegga, et al.. (2004). Pattern of Sequence Variation Across 213 Environmental Response Genes. Genome Research. 14(10a). 1821–1831. 144 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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2026