Vivek M. Advani

1.0k total citations
9 papers, 514 citations indexed

About

Vivek M. Advani is a scholar working on Molecular Biology, Infectious Diseases and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Vivek M. Advani has authored 9 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 1 paper in Infectious Diseases and 1 paper in Public Health, Environmental and Occupational Health. Recurrent topics in Vivek M. Advani's work include RNA and protein synthesis mechanisms (7 papers), RNA Research and Splicing (7 papers) and RNA modifications and cancer (6 papers). Vivek M. Advani is often cited by papers focused on RNA and protein synthesis mechanisms (7 papers), RNA Research and Splicing (7 papers) and RNA modifications and cancer (6 papers). Vivek M. Advani collaborates with scholars based in United States, Poland and Russia. Vivek M. Advani's co-authors include Pavel Ivanov, Jonathan D. Dinman, Ashton T. Belew, Sergey O. Sulima, Bruce A. Shapiro, Wojciech K. Kasprzak, Sharmishtha Musalgaonkar, Arturas Meškauskas, Stephanie Patchett and Kim De Keersmaecker and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Vivek M. Advani

9 papers receiving 511 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vivek M. Advani United States	8	463	58	38	32	30	9	514
Florence Maurier France	7	371 0.8×	22 0.4×	66 1.7×	40 1.3×	20 0.7×	11	458
Stanislava Gunišová Czechia	15	837 1.8×	44 0.8×	42 1.1×	15 0.5×	37 1.2×	20	889
Michael D. Huber United States	9	694 1.5×	25 0.4×	60 1.6×	44 1.4×	20 0.7×	10	800
Lee D. Kapp United States	9	689 1.5×	82 1.4×	95 2.5×	33 1.0×	22 0.7×	10	789
Fujun Zhou United States	14	626 1.4×	30 0.5×	26 0.7×	18 0.6×	16 0.5×	17	688
Quansheng Yang United States	11	785 1.7×	38 0.7×	21 0.6×	26 0.8×	19 0.6×	15	829
Rosslyn Grosely United States	11	479 1.0×	81 1.4×	31 0.8×	47 1.5×	19 0.6×	20	658
Pilar Martín-Marcos United States	12	603 1.3×	28 0.5×	27 0.7×	20 0.6×	8 0.3×	13	645
Clément Chapat France	11	416 0.9×	35 0.6×	24 0.6×	54 1.7×	6 0.2×	13	488
Andrea Haag Switzerland	3	359 0.8×	31 0.5×	15 0.4×	20 0.6×	14 0.5×	4	397

Countries citing papers authored by Vivek M. Advani

Since Specialization

Citations

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

Fields of papers citing papers by Vivek M. Advani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vivek M. Advani

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

All Works

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9 of 9 papers shown

Cao, Jun, Xin Wang, Vivek M. Advani, et al.. (2023). mt‐Ty 5'tiRNA regulates skeletal muscle cell proliferation and differentiation. Cell Proliferation. 56(8). e13416–e13416. 2 indexed citations

Advani, Vivek M. & Pavel Ivanov. (2020). Stress granule subtypes: an emerging link to neurodegeneration. Cellular and Molecular Life Sciences. 77(23). 4827–4845. 78 indexed citations

Advani, Vivek M. & Pavel Ivanov. (2019). Translational Control under Stress: Reshaping the Translatome. BioEssays. 41(5). e1900009–e1900009. 114 indexed citations

Kendra, Joseph A., et al.. (2018). Functional and structural characterization of the chikungunya virus translational recoding signals. Journal of Biological Chemistry. 293(45). 17536–17545. 22 indexed citations

Advani, Vivek M. & Jonathan D. Dinman. (2015). Reprogramming the genetic code: The emerging role of ribosomal frameshifting in regulating cellular gene expression. BioEssays. 38(1). 21–26. 39 indexed citations

Belew, Ashton T., Arturas Meškauskas, Sharmishtha Musalgaonkar, et al.. (2014). Ribosomal frameshifting in the CCR5 mRNA is regulated by miRNAs and the NMD pathway. Nature. 512(7514). 265–269. 120 indexed citations

Sulima, Sergey O., Stephanie Patchett, Vivek M. Advani, et al.. (2014). Bypass of the pre-60S ribosomal quality control as a pathway to oncogenesis. Proceedings of the National Academy of Sciences. 111(15). 5640–5645. 62 indexed citations

Advani, Vivek M., Ashton T. Belew, & Jonathan D. Dinman. (2013). Yeast telomere maintenance is globally controlled by programmed ribosomal frameshifting and the nonsense-mediated mRNA decay pathway. PubMed. 1(1). e24418–e24418. 23 indexed citations

Belew, Ashton T., Vivek M. Advani, & Jonathan D. Dinman. (2010). Endogenous ribosomal frameshift signals operate as mRNA destabilizing elements through at least two molecular pathways in yeast. Nucleic Acids Research. 39(7). 2799–2808. 54 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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