Vikas Bhat

683 citations
33 papers · 548 · h-index 14

Impact in

  • Genetics top 10%
    • Virus-based gene therapy research
    • Genetics and Neurodevelopmental Disorders
    • Viral Infectious Diseases and Gene Expression in Insects
    • Protein Structure and Dynamics
    • Ubiquitin and proteasome pathways
    • RNA Interference and Gene Delivery
    • Protein Kinase Regulation and GTPase Signaling

Papers in

    • DNA and Nucleic Acid Chemistry 9
    • RNA Interference and Gene Delivery 7
    • Protein Kinase Regulation and GTPase Signaling 6
    • Protein Structure and Dynamics 5
    • Ubiquitin and proteasome pathways 4
    • Cell death mechanisms and regulation 4
    • Protein Tyrosine Phosphatases 4
    • Genetics and Neurodevelopmental Disorders 3

Vikas Bhat

33 papers receiving 540 citations

Peers

Vikas Bhat
Comparison fields: 5 of 77
  • Genetics 172
  • Molecular Biology 381
  • Cell Biology 74
  • Oncology 71
  • Physical and Theoretical Chemistry 23
Replace Lisandra M. Gava with:
Lisandra M. Gava Brazil
Bolormaa Baljinnyam United States
Matthias Zeiner Germany
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Sonia Bañuelos Spain
Héctor Viadiu United States
Chengmin Qian Hong Kong
Mikhail I. Dobrikov United States
Shintaro Mikuni Japan
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Citations per field
00.5×
Lisandra M. Gava · 1×
Citations per year

Countries citing papers authored by Vikas Bhat

Since Specialization
Citations

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

Fields of papers citing papers by Vikas Bhat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202199
2 202236
3 201133
4 201232
5 201124
6 202224
7 201321
8 200919
9 201519
10 201317
11 201015
12 201415
13 201115
14 202214
15 200913
16 201213
17 201013
18 201112
19 201411
20 201311

About Vikas Bhat

Vikas Bhat is a scholar working on Molecular Biology, Genetics, Cell Biology, Oncology and Immunology, having authored 33 papers that have together received 548 indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (9 papers), RNA Interference and Gene Delivery (7 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Protein Structure and Dynamics (5 papers), Ubiquitin and proteasome pathways (4 papers), Cell death mechanisms and regulation (4 papers), Protein Tyrosine Phosphatases (4 papers) and Genetics and Neurodevelopmental Disorders (3 papers). The work is most often cited by research in Genetics (172 citations), Molecular Biology (381 citations), Cell Biology (74 citations), Oncology (71 citations) and Physical and Theoretical Chemistry (23 citations). Vikas Bhat has collaborated with scholars based in United States, Puerto Rico and Australia. Frequent co-authors include Amjad Farooq, Caleb B. McDonald, Kenneth L. Seldeen, Brian J. Deegan, David C. Mikles, Marius Sudol, Geoffrey Y. Berguig, Christa L. Cortesio, John A. Maga and Laura Buffa. Their work appears in journals such as Biochemistry, FEBS Journal, Archives of Biochemistry and Biophysics, Biophysical Chemistry and Biopolymers.

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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