P K Chanda

430 citations
15 papers · 375 · h-index 12

Impact in

Papers in

    • Virus-based gene therapy research 7
    • Herpesvirus Infections and Treatments 2
    • Respiratory viral infections research 2

P K Chanda

15 papers receiving 332 citations

Peers

P K Chanda
Comparison fields: 5 of 63
  • Virology 93
  • Cellular and Molecular Neuroscience 73
  • Infectious Diseases 73
  • Animal Science and Zoology 35
  • Genetics 95
Replace R. Rott with:
R. Rott Germany
H. Scheefers Germany
Animesh Dhara United States
D. Thinès Belgium
Nico Michel Germany
José L. Affranchino Argentina
Hans‐Peter Ottiger Switzerland
Jignesh Patel United States
Shanyun Lu China
P K Chanda relative to R. Rott Germany R. Rott's profile →
Citations per field
00.5×2.9×
R. Rott · 1×
Citations per year

Countries citing papers authored by P K Chanda

Since Specialization
Citations

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

Fields of papers citing papers by P K Chanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P K Chanda. 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 P K Chanda. The network helps show where P K Chanda may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 199384
2 198548
3 199245
4 198536
5 198535
6 199127
7 198126
8 198314
9 202312
10 197912
11 198012
12 199112
13
Adenovirus vaccine strains genetically engineered to express HIV-1 or HBV antigens for use as live recombinant vaccines.
19905
14 19814
15
Adenovirus as vector for HIV: efficacy and safety issues.
19953

About P K Chanda

P K Chanda is a scholar working on Genetics, Epidemiology, Infectious Diseases, Molecular Biology and Ecology, having authored 15 papers that have together received 375 indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), Bacteriophages and microbial interactions (4 papers), T-cell and Retrovirus Studies (3 papers), Animal Disease Management and Epidemiology (2 papers), RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers), Herpesvirus Infections and Treatments (2 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Virology (93 citations), Cellular and Molecular Neuroscience (73 citations), Infectious Diseases (73 citations), Animal Science and Zoology (35 citations) and Genetics (95 citations). P K Chanda has collaborated with scholars based in Canada, Switzerland and United States. Frequent co-authors include P.P. Hung, Michael D. Lubeck, Mayumi Ono, M Kuwano, Audrey Davis, Lawrence M. Greenberg, Shin Mizutani, J Wilhelm, A K Banerjee and W. Herbert McGregor. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Journal of Bacteriology, Journal of General Virology and Journal of Biological Chemistry.

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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