Vikash Singh

749 total citations
24 papers, 465 citations indexed

About

Vikash Singh is a scholar working on Endocrinology, Food Science and Molecular Biology. According to data from OpenAlex, Vikash Singh has authored 24 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, 6 papers in Food Science and 5 papers in Molecular Biology. Recurrent topics in Vikash Singh's work include Vibrio bacteria research studies (7 papers), Salmonella and Campylobacter epidemiology (6 papers) and Escherichia coli research studies (5 papers). Vikash Singh is often cited by papers focused on Vibrio bacteria research studies (7 papers), Salmonella and Campylobacter epidemiology (6 papers) and Escherichia coli research studies (5 papers). Vikash Singh collaborates with scholars based in United Kingdom, India and Germany. Vikash Singh's co-authors include Vassilis Koronakis, Anthony C. Davidson, Peter Hume, T. S. Wallis, Chandra Shekhar Bakshi, Michael W. Wood, Edouard E. Galyov, Philip W. Jones, Daniel Humphreys and Karsten Tedin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Bacteriology.

In The Last Decade

Vikash Singh

23 papers receiving 457 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 United Kingdom 11 192 190 117 70 64 24 465
Nadia Abed France 10 77 0.4× 60 0.3× 236 2.0× 78 1.1× 60 0.9× 11 589
Preeti Malik-Kale United States 7 280 1.5× 237 1.2× 134 1.1× 122 1.7× 19 0.3× 8 590
Jenny‐Lee Thomassin Canada 13 65 0.3× 195 1.0× 173 1.5× 53 0.8× 13 0.2× 23 432
Karl Johnson United States 9 64 0.3× 140 0.7× 414 3.5× 93 1.3× 39 0.6× 21 697
Niamh Kinsella United Kingdom 8 178 0.9× 131 0.7× 223 1.9× 123 1.8× 8 0.1× 13 483
Clive S. Barker Japan 11 75 0.4× 80 0.4× 232 2.0× 89 1.3× 25 0.4× 18 414
Andrea Puhar France 15 44 0.2× 171 0.9× 383 3.3× 61 0.9× 49 0.8× 31 719
Anna‐Maria Cunningham Canada 9 168 0.9× 93 0.5× 583 5.0× 94 1.3× 35 0.5× 10 922
Frédéric Belot France 13 44 0.2× 176 0.9× 425 3.6× 50 0.7× 91 1.4× 18 623
Anne N. Reid Canada 8 113 0.6× 58 0.3× 148 1.3× 70 1.0× 8 0.1× 9 361

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.. (2025). Bayesian Binary Search. Algorithms. 18(8). 452–452. 1 indexed citations
2.
Davidson, Anthony C., et al.. (2021). A kinase-independent function of PAK is crucial for pathogen-mediated actin remodelling. PLoS Pathogens. 17(8). e1009902–e1009902. 9 indexed citations
3.
Singh, Vikash, Anthony C. Davidson, Peter Hume, & Vassilis Koronakis. (2020). Arf6 Can Trigger Wave Regulatory Complex-Dependent Actin Assembly Independent of Arno. International Journal of Molecular Sciences. 21(7). 2457–2457. 7 indexed citations
4.
Singh, Vikash, Peter Hume, Anthony C. Davidson, & Vassilis Koronakis. (2020). EPEC Recruits a Cdc42-Specific GEF, Frabin, To Facilitate PAK Activation and Host Cell Colonization. mBio. 11(6). 3 indexed citations
5.
Singh, Vikash, Anthony C. Davidson, Peter Hume, & Vassilis Koronakis. (2019). Pathogenic Escherichia coli Hijacks GTPase-Activated p21-Activated Kinase for Actin Pedestal Formation. mBio. 10(4). 10 indexed citations
6.
Singh, Vikash, et al.. (2019). Feasibility of Artificial Neural Network in Civil Engineering. International Journal of Trend in Scientific Research and Development. Volume-3(Issue-3). 724–728. 10 indexed citations
7.
8.
Singh, Vikash, Peter Schwerk, & Karsten Tedin. (2018). Rapid Isolation of intact Salmonella-containing vacuoles using paramagnetic nanoparticles. Gut Pathogens. 10(1). 33–33. 6 indexed citations
9.
Hume, Peter, Vikash Singh, Anthony C. Davidson, & Vassilis Koronakis. (2017). Swiss Army Pathogen: The Salmonella Entry Toolkit. Frontiers in Cellular and Infection Microbiology. 7. 348–348. 71 indexed citations
10.
Humphreys, Daniel, Vikash Singh, & Vassilis Koronakis. (2016). Inhibition of WAVE Regulatory Complex Activation by a Bacterial Virulence Effector Counteracts Pathogen Phagocytosis. Cell Reports. 17(3). 697–707. 22 indexed citations
11.
Singh, Vikash, et al.. (2016). Salmonella Co-opts Host Cell Chaperone-mediated Autophagy for Intracellular Growth. Journal of Biological Chemistry. 292(5). 1847–1864. 27 indexed citations
12.
Gupta, Deepak, Vikash Singh, Stephan Hohloch, et al.. (2015). Utilizing a series of fac-Re(CO)3 core based quinonoid containing complexes for photophysical and cell imaging studies. Polyhedron. 100. 243–250. 20 indexed citations
13.
Vonaesch, Pascale, et al.. (2014). TheSalmonella Typhimurium effector protein SopE transiently localizes to the early SCV and contributes to intracellular replication. Cellular Microbiology. 16(12). 1723–1735. 34 indexed citations
14.
Singh, Vikash, et al.. (2014). Scientific writing: Strategies and tools for students and advisors. Biochemistry and Molecular Biology Education. 42(5). 405–413. 21 indexed citations
15.
Jain, Aayushi, Peedikayil E. Thomas, Viswas Konasagara Nagaleekar, Vikash Singh, & Gupta Sk. (2013). Cloning and sequence analysis of outer membrane protein genes of pasteurella multocida serotype B:2. Indian Journal of Comparative Microbiology Immunology and Infectious Diseases. 34(1). 24–28. 2 indexed citations
16.
Singh, Vikash, et al.. (2013). Database Enhancement and Analysis of Spoken Hindi Reduplicated Words using Endpoint Detection Algorithm. International Journal of Computer Applications. 63(9). 30–35.
17.
Pathak, K. K., et al.. (2012). A Study of Credit Lending and Prediction of Bankruptcy using Back-Propagation Neural Networks. 3(2). 179–179. 1 indexed citations
18.
Singh, Vikash, et al.. (2011). Z Score Reveals Credit Capacity: a Case Study of SBI. 1(3). 72–78. 1 indexed citations
19.
Singh, Vikash, et al.. (2007). WalkMSU. 2657–2662. 8 indexed citations
20.
Bakshi, Chandra Shekhar, Vikash Singh, Michael W. Wood, et al.. (2000). Identification of SopE2, a Salmonella Secreted Protein Which Is Highly Homologous to SopE and Involved in Bacterial Invasion of Epithelial Cells. Journal of Bacteriology. 182(8). 2341–2344. 135 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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