Vikas Malik

936 citations
48 papers · 527 indexed · h-index 14

Impact in

Papers in

    • Pluripotent Stem Cells Research 13
    • CRISPR and Genetic Engineering 11
    • Renal and related cancers 4
    • Genomics and Chromatin Dynamics 4
    • Epigenetics and DNA Methylation 3
    • Tissue Engineering and Regenerative Medicine 2

Vikas Malik

46 papers receiving 500 citations

Peers

Vikas Malik
Comparison fields: 5 of 91
  • Sensory Systems 40
  • Otorhinolaryngology 24
  • Aging 9
  • Molecular Biology 275
  • Neurology 24
Replace Nataliya Di Donato with:
Nataliya Di Donato Germany
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JA Chiorini United States
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Chin‐To Fong United States
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Vikas Malik relative to Nataliya Di Donato Germany Nataliya Di Donato's profile →
Citations per field
00.5×4.5×
Nataliya Di Donato · 1×
Citations per year

Countries citing papers authored by Vikas Malik

Since Specialization
Citations

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

Fields of papers citing papers by Vikas Malik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vikas Malik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vikas Malik Line = papers co-authored together Vikas Malik links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201958
2 201853
3 201637
4 201234
5 201027
6 202325
7 200224
8 201820
9 201118
10 201317
11 202217
12 202316
13 201815
14 202114
15 201812
16 202212
17 201210
18 202210
19 201510
20 201910

About Vikas Malik

Vikas Malik is a scholar working on Molecular Biology, Surgery, Orthodontics, Public Health, Environmental and Occupational Health and Pulmonary and Respiratory Medicine, having authored 48 papers that have together received 527 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (13 papers), CRISPR and Genetic Engineering (11 papers), Tracheal and airway disorders (4 papers), Renal and related cancers (4 papers), Genomics and Chromatin Dynamics (4 papers), Orthodontics and Dentofacial Orthopedics (4 papers), Epigenetics and DNA Methylation (3 papers) and Tissue Engineering and Regenerative Medicine (2 papers). The work is most often cited by research in Sensory Systems (40 citations), Otorhinolaryngology (24 citations), Aging (9 citations), Molecular Biology (275 citations) and Neurology (24 citations). Vikas Malik has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Ralf Jauch, Jianlong Wang, Yogesh Srivastava, Iain Bruce, Sergiy Velychko, Hans R. Schöler, Vlad Cojocaru, Yanpu Chen, Saurabh Kamal and Ruchi Goel. Their work appears in journals such as Nature Communications, The Laryngoscope, Nucleic Acids Research, Scientific Reports and International Journal of Surgery.

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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