P K Chanda

432 citations
15 papers · 375 · h-index 12

Impact in

Papers in

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

P K Chanda

15 papers receiving 332 citations

Peers

P K Chanda
Comparison fields: 5 of 62
  • Virology 90
  • Cellular and Molecular Neuroscience 73
  • Infectious Diseases 70
  • Genetics 95
  • Animal Science and Zoology 35
Replace V. B. Grigoriev with:
V. B. Grigoriev Russia
H. Scheefers Germany
Animesh Dhara United States
Nico Michel Germany
Hans‐Peter Ottiger Switzerland
D. Thinès Belgium
Jignesh Patel United States
Martine Zilversmit United States
Pascal Damay Switzerland
P K Chanda relative to V. B. Grigoriev Russia V. B. Grigoriev's profile →
Citations per field
00.5×6.1×
V. B. Grigoriev · 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 197912
10 199112
11 198012
12 202312
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), Vector-Borne Animal Diseases (2 papers), Respiratory viral infections research (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Herpesvirus Infections and Treatments (2 papers) and Animal Disease Management and Epidemiology (2 papers). The work is most often cited by research in Virology (90 citations), Cellular and Molecular Neuroscience (73 citations), Infectious Diseases (70 citations), Genetics (95 citations) and Animal Science and Zoology (35 citations). P K Chanda has collaborated with scholars based in Canada, Switzerland and United States. Frequent co-authors include Michael D. Lubeck, P.P. Hung, Mayumi Ono, M Kuwano, Lawrence M. Greenberg, Rohit Bhat, A K Banerjee, Audrey Davis, W. Herbert McGregor and Shin Mizutani. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Vaccines, Molecular Pharmacology and Nature.

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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