Priyanka Das
- Co-authors
- Sneh L. Singla‐PareekAshwani PareekKamlesh Kant NutanNita LakraArun Lahiri MajumderKhalid AnwarUday Chand BasakAnath Bandhu Das
- Topics
- Plant Stress Responses and Tolerance (12 papers)GABA and Rice Research (9 papers)Rice Cultivation and Yield Improvement (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaMolecular and Cellular BiologyScientific Reports
- Partner nations
- IndiaUnited StatesAustria
In The Last Decade
Priyanka Das
60 papers receiving 651 citations
Peers
Comparison fields: 5 of 94
- Plant Science 478
- Molecular Biology 251
- Genetics 51
- Food Science 32
- Materials Chemistry 27
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 | 5 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 9 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 66 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | Leaf area index, flag leaf characters, chlorophyll content and yield of rice genotypes under various establishment methods | 1 |
| 14 | 67 | |
| 15 | 23 | |
| 16 | HETEROSIS AND ITS RELATIONSHIP WITH COMBINING ABILITY, PARENTAL DIVERSITY AND PER SE PERFORMANCE IN SESAME | 1 |
| 17 | Metabolic changes during rooting in pre-girdled stem cuttings and air-layers of Heritiera | 30 |
| 18 | In vitro micropropagation of mature Simarouba glauca Linn.: An oil yielding tree | 1 |
| 19 | Pathogenic effects of stunt nematode, Tylenchorhynchus nudus on chilli | 1 |
| 20 | Combining Ability and Heterosis in White Jute | 0 |
About Priyanka Das
Priyanka Das is a scholar working on Plant Science, Biochemistry and Modeling and Simulation, having authored 67 papers that have together received 681 indexed citations. Recurring topics across this work include Plant Stress Responses and Tolerance (12 papers), GABA and Rice Research (9 papers) and Rice Cultivation and Yield Improvement (9 papers). The work is most often cited by research in Plant Science (478 citations), Molecular Biology (251 citations) and Biochemistry (16 citations). Priyanka Das has collaborated with scholars based in India, United States and Austria. Frequent co-authors include Sneh L. Singla‐Pareek, Ashwani Pareek, Kamlesh Kant Nutan, Nita Lakra, Arun Lahiri Majumder, Khalid Anwar, Uday Chand Basak, Anath Bandhu Das, Anton A. Komar and Sailen Barik. Their work appears in journals such as SHILAP Revista de lepidopterología, Molecular and Cellular Biology 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.