Vikas Prabhakar

1.4k citations
22 papers · 1.1k · h-index 12

Impact in

    • Proteoglycans and glycosaminoglycans research
    • Electrospun Nanofibers in Biomedical Applications

Papers in

Vikas Prabhakar

22 papers receiving 1.1k citations

Peers

Vikas Prabhakar
Comparison fields: 5 of 100
  • Cell Biology 404
  • Biomaterials 326
  • Immunology and Allergy 50
  • Surgery 317
  • Neurology 91
Replace Sarmistha Talukdar with:
Sarmistha Talukdar United States
Andrea Zieris Germany
David Chau United Kingdom
Vivien J. Coulson‐Thomas United States
Devis Galesso Italy
Michael Fazio United States
Ricardo M. Gouveia United Kingdom
Nicolae Mirancea Romania
Akira Asari Japan
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Citations per field
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Sarmistha Talukdar · 1×
Citations per year

Countries citing papers authored by Vikas Prabhakar

Since Specialization
Citations

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

Fields of papers citing papers by Vikas Prabhakar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vikas Prabhakar, 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 Prabhakar Line = papers co-authored together Vikas Prabhakar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003299
2 2006223
3 2003113
4 200584
5 200478
6 200169
7 200557
8 200843
9 200642
10 200627
11 200322
12 200818
13 200110
14 201510
15 20134
16 20084
17
Hydroxyurea inhibits thymidine kinase activity in developing rat cerebellum.
19834
18 20243
19 19853
20
Hydroxyurea inhibition of thymidine kinase is dependent on the developmental stage of the brain region.
19842

About Vikas Prabhakar

Vikas Prabhakar is a scholar working on Molecular Biology, Cell Biology, Organic Chemistry, Surgery and Biomaterials, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (9 papers), Proteoglycans and glycosaminoglycans research (9 papers), Carbohydrate Chemistry and Synthesis (4 papers), Endodontics and Root Canal Treatments (3 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Amino Acid Enzymes and Metabolism (2 papers) and Dental Radiography and Imaging (2 papers). The work is most often cited by research in Cell Biology (404 citations), Biomaterials (326 citations), Immunology and Allergy (50 citations), Surgery (317 citations) and Neurology (91 citations). Vikas Prabhakar has collaborated with scholars based in United States, India and Taiwan. Frequent co-authors include Ram Sasisekharan, Rahul Raman, Laura E. Niklason, Shannon L. M. Dahl, Jennifer M.S. Koh, Ishan Capila, Kevin Pojasek, Carlos J. Bosques, Kristina D. Rinker and George A. Truskey. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, Journal of Biosciences, Cell Transplantation and Annual Review of Biomedical Engineering.

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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