Priya Kannian

495 citations
25 papers · 345 indexed · h-index 11
Topics
T-cell and Retrovirus Studies (7 papers)Herpesvirus Infections and Treatments (7 papers)Animal Disease Management and Epidemiology (7 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of VirologyVirus Research

In The Last Decade

Priya Kannian

24 papers receiving 337 citations

Peers

Priya Kannian
Comparison fields: 5 of 58
  • Immunology 170
  • Agronomy and Crop Science 137
  • Ecology, Evolution, Behavior and Systematics 119
  • Epidemiology 88
  • Ophthalmology 66
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Countries citing papers authored by Priya Kannian

Since Specialization
Citations

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

Fields of papers citing papers by Priya Kannian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Priya Kannian

This figure shows the co-authorship network connecting the top 25 collaborators of Priya Kannian. A scholar is included among the top collaborators of Priya Kannian based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Priya Kannian. Priya Kannian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 7
3 1
4 2
5 6
6
Role of Wild-type and Recombinant Human T-cell Leukemia Viruses in Lymphoproliferative Disease in Humanized NSG Mice.
12
7
Rapid Polymerase Chain Reaction method for Detection of Vibrio Cholerae in Food and their Cytotoxic Effect
1
8 4
9 30
10 41
11 12
12 1
13 88
14 1
15 14
16
Diagnostic value of enzyme linked immuno-sorbent assay for cytomegalovirus disease.
11
17 8
18 34
19
Use of nested polymerase chain reaction for the detection of cytomegalovirus in clinical specimens.
9
20
Preparation of amniotic membrane for ocular surface reconstruction.
25

About Priya Kannian

Priya Kannian is a scholar working on Agronomy and Crop Science, Ophthalmology and Endocrinology, having authored 25 papers that have together received 345 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (7 papers), Herpesvirus Infections and Treatments (7 papers) and Animal Disease Management and Epidemiology (7 papers). The work is most often cited by research in Agronomy and Crop Science (137 citations), Immunology (170 citations) and Ophthalmology (66 citations). Priya Kannian has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Patrick L. Green, Han Yin, H N Madhavan, Hajib N. Madhavan, Jambulingam Malathi, Soledad Fernández, Stefan Niewiesk, Michael D. Lairmore, H N Madhavan and HN Madhavan. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Virology and Virus Research.

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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