Arun Ramani

4.5k total citations
39 papers, 2.2k citations indexed

About

Arun Ramani is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Arun Ramani has authored 39 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 7 papers in Genetics and 7 papers in Cancer Research. Recurrent topics in Arun Ramani's work include RNA modifications and cancer (7 papers), Biomedical Text Mining and Ontologies (6 papers) and Genetics, Aging, and Longevity in Model Organisms (6 papers). Arun Ramani is often cited by papers focused on RNA modifications and cancer (7 papers), Biomedical Text Mining and Ontologies (6 papers) and Genetics, Aging, and Longevity in Model Organisms (6 papers). Arun Ramani collaborates with scholars based in Canada, United States and United Kingdom. Arun Ramani's co-authors include Edward M. Marcotte, Traver Hart, Raymond J. Mooney, Răzvan Bunescu, Andrew Fraser, Rohit J. Kate, Yuk Wah Wong, Insuk Lee, Lars Juhl Jensen and Peer Bork and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Communications.

In The Last Decade

Arun Ramani

36 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arun Ramani Canada 17 1.9k 282 256 207 123 39 2.2k
Michael Livstone United States 9 2.2k 1.2× 96 0.3× 295 1.2× 380 1.8× 65 0.5× 10 2.8k
Debra S. Goldberg United States 13 2.0k 1.0× 84 0.3× 236 0.9× 355 1.7× 73 0.6× 21 2.5k
Jasmin Fisher United Kingdom 23 1.6k 0.9× 129 0.5× 101 0.4× 474 2.3× 118 1.0× 60 2.5k
Matthew Hibbs United States 22 2.1k 1.1× 65 0.2× 259 1.0× 139 0.7× 69 0.6× 33 2.6k
Teresa Reguly Canada 7 2.6k 1.4× 106 0.4× 222 0.9× 445 2.1× 57 0.5× 8 2.9k
C. Stark Canada 6 3.6k 1.9× 218 0.8× 358 1.4× 684 3.3× 81 0.7× 7 4.3k
David W. Kane United States 15 1.8k 0.9× 125 0.4× 183 0.7× 106 0.5× 29 0.2× 18 2.4k
Gabriel F. Berriz United States 12 2.3k 1.2× 53 0.2× 280 1.1× 295 1.4× 82 0.7× 15 2.8k
Martijn van Iersel Netherlands 13 1.5k 0.8× 53 0.2× 160 0.6× 198 1.0× 56 0.5× 22 1.9k
Jie Zheng United States 20 1.2k 0.6× 326 1.2× 138 0.5× 93 0.4× 127 1.0× 68 1.6k

Countries citing papers authored by Arun Ramani

Since Specialization
Citations

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

Fields of papers citing papers by Arun Ramani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arun Ramani

This figure shows the co-authorship network connecting the top 25 collaborators of Arun Ramani. A scholar is included among the top collaborators of Arun Ramani 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 Arun Ramani. Arun Ramani 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.
Ramani, Arun, et al.. (2025). DDConvNet: A deep learning approach for driver drowsiness detection. AIP conference proceedings. 3253. 30025–30025.
2.
Muley, Milind M., YuShan Tu, David P. Finn, et al.. (2023). Conserved transcriptional programming across sex and species after peripheral nerve injury predicts treatments for neuropathic pain. British Journal of Pharmacology. 180(21). 2822–2836. 9 indexed citations
3.
Peterson, Kevin A., Sam Khalouei, Joshua A. Wood, et al.. (2023). Whole genome analysis for 163 gRNAs in Cas9-edited mice reveals minimal off-target activity. Communications Biology. 6(1). 626–626. 8 indexed citations
4.
Li, Michael, Anthony Arnoldo, Arun Ramani, et al.. (2023). Clinical Implementation of MetaFusion for Accurate Cancer-Driving Fusion Detection from RNA Sequencing. Journal of Molecular Diagnostics. 25(12). 921–931.
5.
Deshwar, Ashish R., Huayun Hou, Tayyaba Khan, et al.. (2023). Trio RNA sequencing in a cohort of medically complex children. The American Journal of Human Genetics. 110(5). 895–900. 7 indexed citations
6.
Osmond, Matthew, Taila Hartley, Marta Gîrdea, et al.. (2022). PhenomeCentral: 7 years of rare disease matchmaking. Human Mutation. 43(6). 674–681. 11 indexed citations
7.
Siddaway, Robert, Jyothishmathi Swaminathan, Scott Ryall, et al.. (2022). Splicing is an alternate oncogenic pathway activation mechanism in glioma. Nature Communications. 13(1). 588–588. 26 indexed citations
8.
Jiang, Yue, Robert Siddaway, Cynthia Hawkins, et al.. (2021). MetaFusion: a high-confidence metacaller for filtering and prioritizing RNA-seq gene fusion candidates. Bioinformatics. 37(19). 3144–3151. 7 indexed citations
9.
Díaz-Mejía, J. Javier, Ping Luo, Samarth Patel, et al.. (2020). CReSCENT: CanceR Single Cell ExpressioN Toolkit. Nucleic Acids Research. 48(W1). W372–W379. 10 indexed citations
10.
Sabha, Nesrin, Arun Ramani, Linda Groom, et al.. (2018). Tamoxifen therapy in a murine model of myotubular myopathy. Nature Communications. 9(1). 4849–4849. 41 indexed citations
11.
Johnston, Wendy, Aldis Krizus, Arun Ramani, et al.. (2017). C. elegans SUP-46, an HNRNPM family RNA-binding protein that prevents paternally-mediated epigenetic sterility. BMC Biology. 15(1). 61–61. 5 indexed citations
12.
Dzamba, Misko, Arun Ramani, Pawel Buczkowicz, et al.. (2016). Identification of complex genomic rearrangements in cancers using CouGaR. Genome Research. 27(1). 107–117. 15 indexed citations
13.
Norris, Adam, Shangbang Gao, Megan L. Norris, et al.. (2014). A Pair of RNA-Binding Proteins Controls Networks of Splicing Events Contributing to Specialization of Neural Cell Types. Molecular Cell. 54(6). 946–959. 55 indexed citations
14.
Ramani, Arun, Tungalag Chuluunbaatar, Adrian J. Verster, et al.. (2012). The Majority of Animal Genes Are Required for Wild-Type Fitness. Cell. 148(4). 792–802. 39 indexed citations
15.
Ip, Joanna Y., Dominic Schmidt, Qun Pan, et al.. (2010). Global impact of RNA polymerase II elongation inhibition on alternative splicing regulation. Genome Research. 21(3). 390–401. 185 indexed citations
16.
Ramani, Arun, John A. Calarco, Qun Pan, et al.. (2010). Genome-wide analysis of alternative splicing in Caenorhabditis elegans. Genome Research. 21(2). 342–348. 128 indexed citations
17.
Ramani, Arun, Andrew C. Nelson, Philipp Kapranov, et al.. (2009). High resolution transcriptome maps for wild-type and nonsense-mediated decay-defective Caenorhabditis elegans. Genome biology. 10(9). R101–R101. 86 indexed citations
18.
Hart, Traver, Arun Ramani, & Edward M. Marcotte. (2006). How complete are current yeast and human protein-interaction networks?. Genome Biology. 7(11). 120–120. 288 indexed citations
19.
Ramani, Arun, Răzvan Bunescu, Raymond J. Mooney, & Edward M. Marcotte. (2005). Consolidating the set of known human protein-protein interactions in preparation for large-scale mapping of the human interactome. Genome biology. 6(5). R40–R40. 172 indexed citations
20.
Bunescu, Răzvan, Rohit J. Kate, Edward M. Marcotte, et al.. (2004). Comparative experiments on learning information extractors for proteins and their interactions. Artificial Intelligence in Medicine. 33(2). 139–155. 287 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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