Vivek Kaimal

2.0k total citations · 2 hit papers
11 papers, 1.2k citations indexed

About

Vivek Kaimal is a scholar working on Cancer Research, Molecular Biology and Surgery. According to data from OpenAlex, Vivek Kaimal has authored 11 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cancer Research, 7 papers in Molecular Biology and 3 papers in Surgery. Recurrent topics in Vivek Kaimal's work include MicroRNA in disease regulation (8 papers), Circular RNAs in diseases (4 papers) and RNA modifications and cancer (3 papers). Vivek Kaimal is often cited by papers focused on MicroRNA in disease regulation (8 papers), Circular RNAs in diseases (4 papers) and RNA modifications and cancer (3 papers). Vivek Kaimal collaborates with scholars based in United States and Denmark. Vivek Kaimal's co-authors include Leigh Goedeke, Cynthia J. Lees, Carlos Fernández‐Hernando, Edward A. Fisher, Tathagat Dutta Ray, Xueqing Liu, Ryan E. Temel, Allison L. McDaniel, Oleg G. Khatsenko and Farah Hussain and has published in prestigious journals such as Nature, Nucleic Acids Research and Blood.

In The Last Decade

Vivek Kaimal

10 papers receiving 1.2k citations

Hit Papers

Inhibition of miR-33a/b in non-human primates raises plas... 2011 2026 2016 2021 2011 2012 100 200 300 400 500

Peers

Vivek Kaimal
Xinqiang Huang United States
Philip Koh Australia
Sumanth Putta United States
Jin Hyung Heo South Korea
Cuiyan Xin United States
Shasha Lv China
Ivan G. Gomez United States
Yoo Hyung Kim South Korea
Xinqiang Huang United States
Vivek Kaimal
Citations per year, relative to Vivek Kaimal Vivek Kaimal (= 1×) peers Xinqiang Huang

Countries citing papers authored by Vivek Kaimal

Since Specialization
Citations

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

Fields of papers citing papers by Vivek Kaimal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vivek Kaimal

This figure shows the co-authorship network connecting the top 25 collaborators of Vivek Kaimal. A scholar is included among the top collaborators of Vivek Kaimal 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 Vivek Kaimal. Vivek Kaimal 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.
Huang, Xinqiang, Jill Magnus, Vivek Kaimal, et al.. (2017). Lipid Nanoparticle–Mediated Delivery of Anti-miR-17 Family Oligonucleotide Suppresses Hepatocellular Carcinoma Growth. Molecular Cancer Therapeutics. 16(5). 905–913. 16 indexed citations
2.
Munthe, Sune, Bo Halle, Henning B. Boldt, et al.. (2017). Shift of microRNA profile upon glioma cell migration using patient-derived spheroids and serum-free conditions. Journal of Neuro-Oncology. 132(1). 45–54. 14 indexed citations
3.
Dhanasekaran, Renumathy, Virginie Baylot, Ian Lai, et al.. (2017). Anti-miR-17 therapy delays tumorigenesis in MYC-driven hepatocellular carcinoma (HCC). Oncotarget. 9(5). 5517–5528. 38 indexed citations
4.
Halle, Bo, Mads Thomassen, Ranga N. Venkatesan, et al.. (2016). Shift of microRNA profile upon orthotopic xenografting of glioblastoma spheroid cultures. Journal of Neuro-Oncology. 128(3). 395–404. 6 indexed citations
5.
Androsavich, John R., Xueqing Liu, Shweta Pandya, et al.. (2015). Polysome shift assay for direct measurement of miRNA inhibition by anti-miRNA drugs. Nucleic Acids Research. 44(2). e13–e13. 14 indexed citations
6.
Bessho, Kazuhiko, Kumar Shanmukhappa, Rachel Sheridan, et al.. (2013). Integrative genomics identifies candidate microRNAs for pathogenesis of experimental biliary atresia. BMC Systems Biology. 7(1). 104–104. 25 indexed citations
7.
Chau, B. Nelson, Cuiyan Xin, Jochen C. Hartner, et al.. (2012). MicroRNA-21 Promotes Fibrosis of the Kidney by Silencing Metabolic Pathways. Science Translational Medicine. 4(121). 121ra18–121ra18. 465 indexed citations breakdown →
8.
Rayner, Katey J., Christine Esau, Farah Hussain, et al.. (2011). Inhibition of miR-33a/b in non-human primates raises plasma HDL and lowers VLDL triglycerides. Nature. 478(7369). 404–407. 556 indexed citations breakdown →
9.
Kaimal, Vivek, Reena Mourya, Huan Xu, et al.. (2010). Staging of biliary atresia at diagnosis by molecular profiling of the liver. Genome Medicine. 2(5). 33–33. 60 indexed citations
10.
Sinha, Amit, Vivek Kaimal, Jing Chen, & Anil G. Jegga. (2008). Dissecting microregulation of a master regulatory network. BMC Genomics. 9(1). 88–88. 35 indexed citations
11.
Velu, Chinavenmeni S., Anil G. Jegga, Vivek Kaimal, Bruce J. Aronow, & H. Leighton Grimes. (2006). miR-21 Is a Transcriptional Target of Growth Factor Independent -1; Implications for Transcriptional Regulation of microRNA.. Blood. 108(11). 1178–1178. 1 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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