Vikash Singh

855 total citations
26 papers, 657 citations indexed

About

Vikash Singh is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Vikash Singh has authored 26 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 7 papers in Cancer Research and 3 papers in Plant Science. Recurrent topics in Vikash Singh's work include RNA modifications and cancer (8 papers), Fungal and yeast genetics research (8 papers) and RNA Research and Splicing (5 papers). Vikash Singh is often cited by papers focused on RNA modifications and cancer (8 papers), Fungal and yeast genetics research (8 papers) and RNA Research and Splicing (5 papers). Vikash Singh collaborates with scholars based in India, United States and Israel. Vikash Singh's co-authors include Raghuvir Singh Tomar, Gajendra Kumar Azad, Upendarrao Golla, Vladimir S. Spiegelman, Prabhat K. Singh, Sakshi Chauhan, Tyler Wood, Zhenqiu Liu, Gregory S. Yochum and Sinisa Dovat and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Oncogene.

In The Last Decade

Vikash Singh

26 papers receiving 648 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vikash Singh India 16 472 165 77 58 38 26 657
Yan Yin China 11 401 0.8× 97 0.6× 48 0.6× 74 1.3× 24 0.6× 16 575
Hamid Behrouj Iran 13 353 0.7× 122 0.7× 81 1.1× 31 0.5× 52 1.4× 27 562
Lanhong Zheng China 17 550 1.2× 119 0.7× 62 0.8× 34 0.6× 44 1.2× 23 807
Fengqing Hu China 18 483 1.0× 278 1.7× 92 1.2× 91 1.6× 50 1.3× 57 909
Sheng Huang China 14 385 0.8× 186 1.1× 118 1.5× 82 1.4× 21 0.6× 43 666
Yingying Wang China 15 398 0.8× 73 0.4× 54 0.7× 64 1.1× 35 0.9× 44 551
Zhangxiao Peng China 14 367 0.8× 209 1.3× 59 0.8× 69 1.2× 60 1.6× 22 566
Jing Cheng China 16 533 1.1× 148 0.9× 35 0.5× 61 1.1× 41 1.1× 36 744
Jayant Dewangan India 14 380 0.8× 122 0.7× 170 2.2× 110 1.9× 31 0.8× 20 768
Linlin Shi China 12 435 0.9× 137 0.8× 59 0.8× 113 1.9× 55 1.4× 21 702

Countries citing papers authored by Vikash Singh

Since Specialization
Citations

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

Fields of papers citing papers by Vikash Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vikash Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Vikash Singh. A scholar is included among the top collaborators of Vikash Singh 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 Vikash Singh. Vikash Singh 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.
Singh, Vikash, et al.. (2024). RNA Binding Proteins as Potential Therapeutic Targets in Colorectal Cancer. Cancers. 16(20). 3502–3502. 5 indexed citations
2.
Epari, Sridhar, Omshree Shetty, Ayushi Sahay, et al.. (2024). CDKN2A/B deletion in IDH-mutant astrocytomas: An evaluation by Fluorescence in-situ hybridization. Journal of Neuro-Oncology. 167(1). 189–198. 1 indexed citations
4.
Singh, Amandeep, Vikash Singh, Froma Oberman, et al.. (2023). Development of a specific and potent IGF2BP1 inhibitor: A promising therapeutic agent for IGF2BP1-expressing cancers. European Journal of Medicinal Chemistry. 263. 115940–115940. 14 indexed citations
5.
Singh, Vikash, Zhenqiu Liu, Nicholas J. Carruthers, et al.. (2023). IGF2BP1 regulates the cargo of extracellular vesicles and promotes neuroblastoma metastasis. Oncogene. 42(19). 1558–1571. 19 indexed citations
6.
Singh, Vikash, Vonn Walter, Irina Elcheva, Yuka Imamura Kawasawa, & Vladimir S. Spiegelman. (2023). Global role of IGF2BP1 in controlling the expression of Wnt/β-catenin-regulated genes in colorectal cancer cells. Frontiers in Cell and Developmental Biology. 11. 1236356–1236356. 5 indexed citations
7.
Singh, Vikash, et al.. (2022). Development of a Novel IGF2BP1 Inhibitor as Metastasis-Specific Therapeutic Agent. European Journal of Cancer. 174. S104–S105. 2 indexed citations
8.
Ganapathy, Ashwinkumar Subramenium, Vikash Singh, Gregory S. Yochum, et al.. (2021). AP2M1 mediates autophagy-induced CLDN2 (claudin 2) degradation through endocytosis and interaction with LC3 and reduces intestinal epithelial tight junction permeability. Autophagy. 18(9). 2086–2103. 61 indexed citations
9.
Singh, Vikash, Vishal Singh, Ashwinkumar Subramenium Ganapathy, et al.. (2020). The mRNA-binding protein IGF2BP1 maintains intestinal barrier function by up-regulating occludin expression. Journal of Biological Chemistry. 295(25). 8602–8612. 35 indexed citations
10.
Elcheva, Irina, Tyler Wood, Madeline Wong, et al.. (2019). RNA-binding protein IGF2BP1 maintains leukemia stem cell properties by regulating HOXB4, MYB, and ALDH1A1. Leukemia. 34(5). 1354–1363. 113 indexed citations
11.
Singh, Vikash, et al.. (2015). Flocculation inSaccharomyces cerevisiae is regulated by RNA/DNA helicase Sen1p. FEBS Letters. 589(20PartB). 3165–3174. 11 indexed citations
12.
Azad, Gajendra Kumar, Vikash Singh, & Raghuvir Singh Tomar. (2014). Assessment of the Biological Pathways Targeted by Isocyanate Using N-Succinimidyl N-Methylcarbamate in Budding Yeast Saccharomyces cerevisiae. PLoS ONE. 9(3). e92993–e92993. 16 indexed citations
13.
Singh, Vikash, et al.. (2014). Anti‐cancer drug KP1019 modulates epigenetics and induces DNA damage response in Saccharomyces cerevisiae. FEBS Letters. 588(6). 1044–1052. 24 indexed citations
14.
Singh, Vikash, et al.. (2014). Anti-cancer drug KP1019 induces Hog1 phosphorylation and protein ubiquitylation in Saccharomyces cerevisiae. European Journal of Pharmacology. 736. 77–85. 17 indexed citations
15.
Azad, Gajendra Kumar, Vikash Singh, Prabhat K. Singh, et al.. (2014). Ebselen induces reactive oxygen species (ROS)‐mediated cytotoxicity inSaccharomyces cerevisiaewith inhibition of glutamate dehydrogenase being a target. FEBS Open Bio. 4(1). 77–89. 77 indexed citations
17.
Azad, Gajendra Kumar, et al.. (2014). Mitogen-activated protein kinase Hog1 is activated in response to curcumin exposure in the budding yeast Saccharomyces cerevisiae. BMC Microbiology. 14(1). 317–317. 16 indexed citations
18.
Golla, Upendarrao, Vikash Singh, Gajendra Kumar Azad, et al.. (2013). Sen1p Contributes to Genomic Integrity by Regulating Expression of Ribonucleotide Reductase 1 (RNR1) in Saccharomyces cerevisiae. PLoS ONE. 8(5). e64798–e64798. 20 indexed citations
19.
Singh, Rajan, Nuraly K. Avliyakulov, Melissa Braga, et al.. (2013). Proteomic Identification of Mitochondrial Targets of Arginase in Human Breast Cancer. PLoS ONE. 8(11). e79242–e79242. 28 indexed citations
20.
Azad, Gajendra Kumar, Vikash Singh, Upendarrao Golla, & Raghuvir Singh Tomar. (2013). Depletion of Cellular Iron by Curcumin Leads to Alteration in Histone Acetylation and Degradation of Sml1p in Saccharomyces cerevisiae. PLoS ONE. 8(3). e59003–e59003. 27 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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