Vikas Peddu

975 citations
14 papers · 508 · h-index 12

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Cytomegalovirus and herpesvirus research
    • Herpesvirus Infections and Treatments
    • Respiratory viral infections research

Papers in

    • Cytomegalovirus and herpesvirus research 4
    • Respiratory viral infections research 2
    • SARS-CoV-2 and COVID-19 Research 3
    • SARS-CoV-2 detection and testing 2
    • Parvovirus B19 Infection Studies 2

Vikas Peddu

14 papers receiving 499 citations

Peers

Vikas Peddu
Comparison fields: 5 of 80
  • Infectious Diseases 263
  • Epidemiology 149
  • Modeling and Simulation 14
  • Applied Microbiology and Biotechnology 5
  • Immunology 52
Replace David C. Gaston with:
David C. Gaston United States
Andrey B. Komissarov Russia
Longding Liu China
Emanuele Andreano Italy
Anna Z. Mykytyn Netherlands
Shahab Mahmoudvand Iran
Fumin Liu China
Paulina Nowak Poland
Chris Mok Hong Kong
Santhamani Ramasamy United States
Vikas Peddu relative to David C. Gaston United States David C. Gaston's profile →
Citations per field
00.5×5.0×
David C. Gaston · 1×
Citations per year

Countries citing papers authored by Vikas Peddu

Since Specialization
Citations

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

Fields of papers citing papers by Vikas Peddu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2020173
2 202068
3 202046
4 202035
5 201832
6 202327
7 202126
8 201921
9 202020
10 202018
11 202017
12 201815
13 20228
14 20222

About Vikas Peddu

Vikas Peddu is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Oncology and Cancer Research, having authored 14 papers that have together received 508 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), SARS-CoV-2 detection and testing (2 papers), Parvovirus B19 Infection Studies (2 papers), Respiratory viral infections research (2 papers), Viral-associated cancers and disorders (2 papers), RNA modifications and cancer (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Infectious Diseases (263 citations), Epidemiology (149 citations), Modeling and Simulation (14 citations), Applied Microbiology and Biotechnology (5 citations) and Immunology (52 citations). Vikas Peddu has collaborated with scholars based in United States, South Africa and Italy. Frequent co-authors include Alexander L. Greninger, Keith R. Jerome, Meei‐Li Huang, Hong Xie, Francesca T. Bovier, Pavitra Roychoudhury, Nicole A. P. Lieberman, Anne Moscona, Matteo Porotto and Pei‐Yong Shi. Their work appears in journals such as Scientific Reports, Journal of Virology, Journal of Clinical Microbiology, mBio and Cell Reports.

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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