Priyanka Saha
- Co-authors
- Dona SinhaAnupam BishayeeAnupam Das TalukdarNabanita ChatterjeeLutfun NaharSatyajit D. SarkerManabendra Dutta ChoudhuryJagajjit Sahu
- Topics
- MicroRNA in disease regulation (6 papers)Congenital Heart Disease Studies (4 papers)RNA modifications and cancer (4 papers)
- Journals
- CirculationNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Priyanka Saha
49 papers receiving 795 citations
Peers
Comparison fields: 5 of 129
- Molecular Biology 398
- Cancer Research 168
- Epidemiology 141
- Pulmonary and Respiratory Medicine 89
- Oncology 89
Countries citing papers authored by Priyanka Saha
This map shows the geographic impact of Priyanka Saha'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 Saha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priyanka Saha more than expected).
Fields of papers citing papers by Priyanka Saha
This network shows the impact of papers produced by Priyanka Saha. 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 Saha. The network helps show where Priyanka Saha may publish in the future.
Co-authorship network of co-authors of Priyanka Saha
This figure shows the co-authorship network connecting the top 25 collaborators of Priyanka Saha. A scholar is included among the top collaborators of Priyanka Saha 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 Saha. Priyanka Saha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 89 | |
| 7 | 8 | |
| 8 | 8 | |
| 9 | 47 | |
| 10 | 16 | |
| 11 | 56 | |
| 12 | 99 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | Production of Polysaccharide degrading enzymes by the gut microbiota of Leucinodes orbonalis and Bactrocera dorsalis | 2 |
| 16 | Hormonal profile and haematological parameters of male wistar albino rats treated with methanloic extract of Parthenium hysterophorus L. | 2 |
| 17 | 1 | |
| 18 | 5 | |
| 19 | 7 | |
| 20 | A Modern View of Language | 1 |
About Priyanka Saha
Priyanka Saha is a scholar working on Cancer Research, Family Practice and Complementary and alternative medicine, having authored 56 papers that have together received 818 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Congenital Heart Disease Studies (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Cancer Research (168 citations), Health Informatics (9 citations) and Molecular Biology (398 citations). Priyanka Saha has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Dona Sinha, Anupam Bishayee, Anupam Das Talukdar, Nabanita Chatterjee, Lutfun Nahar, Satyajit D. Sarker, Manabendra Dutta Choudhury, Jagajjit Sahu, James R. Priest and Erik Ingelsson. Their work appears in journals such as Circulation, Nature Communications and SHILAP Revista de lepidopterología.
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.