Priyanka Banerjee
- Epidemiology top 10%
- Genetics
- Hepatology top 5%
- Molecular Biology
- Cancer Research
- Co-authors
- Haja N. KadarmideenWellison J. S. DinizSimanti DattaAbhijit ChowdhuryAmal SantraSoma BanerjeeJyoti JoshiRahul Mondal
- Topics
- Genetic and phenotypic traits in livestock (29 papers)Genetic Mapping and Diversity in Plants and Animals (14 papers)Hepatitis B Virus Studies (9 papers)
- Cited by
- HepatologyEpidemiologyGenetics
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- IndiaUnited StatesDenmark
In The Last Decade
Priyanka Banerjee
66 papers receiving 677 citations
Peers
Comparison fields: 5 of 106
- Epidemiology 256
- Genetics 173
- Hepatology 158
- Molecular Biology 126
- Cancer Research 68
Countries citing papers authored by Priyanka Banerjee
This map shows the geographic impact of Priyanka Banerjee'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 Priyanka Banerjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priyanka Banerjee more than expected).
Fields of papers citing papers by Priyanka Banerjee
This network shows the impact of papers produced by Priyanka Banerjee. 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 Priyanka Banerjee. The network helps show where Priyanka Banerjee may publish in the future.
Co-authorship network of co-authors of Priyanka Banerjee
This figure shows the co-authorship network connecting the top 25 collaborators of Priyanka Banerjee. A scholar is included among the top collaborators of Priyanka Banerjee 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 Priyanka Banerjee. Priyanka Banerjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 28 | |
| 7 | 4 | |
| 8 | 13 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 6 | |
| 12 | 18 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | Identification of SNPs in Goats (Capra hircus) using RNA-Seq Analysis | 5 |
| 16 | 6 | |
| 17 | Genetic Landscape and Demography of Buffaloes in Indo- Gangetic Plains | 0 |
| 18 | Bayesian and multivariate analysis of buffaloes of Indo-Gangetic plains for revealing cryptic spatial patterns of genetic variability | 1 |
| 19 | Sequence and phylogenetic analysis of Toll like receptor genes TLR-3 and TLR-9 in buffaloes | 0 |
| 20 | Genetic relationship among duck populations of India. | 8 |
About Priyanka Banerjee
Priyanka Banerjee is a scholar working on Agronomy and Crop Science, Genetics and Hepatology, having authored 75 papers that have together received 691 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (29 papers), Genetic Mapping and Diversity in Plants and Animals (14 papers) and Hepatitis B Virus Studies (9 papers). The work is most often cited by research in Hepatology (158 citations), Epidemiology (256 citations) and Genetics (173 citations). Priyanka Banerjee has collaborated with scholars based in India, United States and Denmark. Frequent co-authors include Haja N. Kadarmideen, Wellison J. S. Diniz, Simanti Datta, Abhijit Chowdhury, Amal Santra, Soma Banerjee, Jyoti Joshi, Rahul Mondal, Susmita Ghosh and Avijit Sarkar. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific 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.