Priyanka Das
- Immunology
- Molecular Biology
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Infectious Diseases
- Co-authors
- Dipshikha ChakravorttyAmit LahiriAyan LahiriL.B. MilsteinNeelesh B. MehtaNisha KapoorKithiganahalli Narayanaswamy BalajiNamrata Iyer
- Topics
- Cooperative Communication and Network Coding (8 papers)Cognitive Radio Networks and Spectrum Sensing (6 papers)Advanced MIMO Systems Optimization (5 papers)
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Priyanka Das
26 papers receiving 667 citations
Peers
Comparison fields: 5 of 98
- Immunology 177
- Molecular Biology 167
- Electrical and Electronic Engineering 126
- Computer Networks and Communications 113
- Infectious Diseases 85
Countries citing papers authored by Priyanka Das
This map shows the geographic impact of Priyanka Das'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 Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priyanka Das more than expected).
Fields of papers citing papers by Priyanka Das
This network shows the impact of papers produced by Priyanka Das. 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 Das. The network helps show where Priyanka Das may publish in the future.
Co-authorship network of co-authors of Priyanka Das
This figure shows the co-authorship network connecting the top 25 collaborators of Priyanka Das. A scholar is included among the top collaborators of Priyanka Das 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 Das. Priyanka Das is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 13 | |
| 10 | 7 | |
| 11 | 18 | |
| 12 | 5 | |
| 13 | 63 | |
| 14 | 1 | |
| 15 | 49 | |
| 16 | 29 | |
| 17 | 188 | |
| 18 | Long-term outcomes of plaque debulking with rotational atherectomy in side-branch ostial lesions to treat bifurcation coronary disease. | 23 |
| 19 | 108 | |
| 20 | Psychiatric illness following childbirth a clinical study of 34 cases. | 3 |
About Priyanka Das
Priyanka Das is a scholar working on Business and International Management, Computer Networks and Communications and Signal Processing, having authored 31 papers that have together received 684 indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (8 papers), Cognitive Radio Networks and Spectrum Sensing (6 papers) and Advanced MIMO Systems Optimization (5 papers). The work is most often cited by research in Endocrinology (46 citations), Immunology (177 citations) and Signal Processing (75 citations). Priyanka Das has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Dipshikha Chakravortty, Amit Lahiri, Ayan Lahiri, L.B. Milstein, Neelesh B. Mehta, Nisha Kapoor, Kithiganahalli Narayanaswamy Balaji, Namrata Iyer, M.S. Shaila and Andrew Williams. Their work appears in journals such as PLoS ONE, PLoS Pathogens and IEEE Transactions on Communications.
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.