Vikas Kaushik

1.2k total citations
48 papers, 801 citations indexed

About

Vikas Kaushik is a scholar working on Molecular Biology, Infectious Diseases and Computational Theory and Mathematics. According to data from OpenAlex, Vikas Kaushik has authored 48 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 10 papers in Infectious Diseases and 8 papers in Computational Theory and Mathematics. Recurrent topics in Vikas Kaushik's work include vaccines and immunoinformatics approaches (20 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Computational Drug Discovery Methods (8 papers). Vikas Kaushik is often cited by papers focused on vaccines and immunoinformatics approaches (20 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Computational Drug Discovery Methods (8 papers). Vikas Kaushik collaborates with scholars based in India, Saudi Arabia and Malaysia. Vikas Kaushik's co-authors include Amit Joshi, Yrjö H. Roos, Nahid Akhtar, M. Amin‐ul Mannan, Joginder Singh, Abdul Rajjak Shaikh, Luigi Cavallo, Mohit Chawla, Manish Kumar and Sunil Krishnan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Vikas Kaushik

46 papers receiving 784 citations

Peers

Vikas Kaushik
Comparison fields: 5 of 88
  • Molecular Biology 468
  • Infectious Diseases 208
  • Radiology, Nuclear Medicine and Imaging 139
  • Food Science 138
  • Epidemiology 122
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Citations per field, relative to Vikas Kaushik
Vikas Kaushik · 1×
Citations per year, relative to Vikas Kaushik
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Countries citing papers authored by Vikas Kaushik

Since Specialization
Citations

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

Fields of papers citing papers by Vikas Kaushik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vikas Kaushik

This figure shows the co-authorship network connecting the top 25 collaborators of Vikas Kaushik. A scholar is included among the top collaborators of Vikas Kaushik 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 Vikas Kaushik. Vikas Kaushik 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
# Work Indexed citations
1 4
2 5
3 9
4 4
5 8
6 32
7 11
8 3
9 38
10
The Differentially Expressed Genes and Biomarker Identification for Dengue Disease Using Transcriptome Data Analysis
2
11 15
12 48
13 28
14 40
15 18
16 17
17 13
18 20
19
Molecular Dynamics Simulation by using NAMD-VMD and Gromacs
0
20
IN SILICO PEPTIDE BASED VACCINE DESIGN AGAINST NON-STRUCTURAL PROTEIN 5 OF HEPATITIS C VIRUS
7

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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