Binay Panda
Impact in
- Plant Science top 5%
- Rice Cultivation and Yield Improvement
- Plant responses to water stress
- GABA and Rice Research
- Plant Molecular Biology Research
- Otorhinolaryngology top 10%
Papers in
-
- Rice Cultivation and Yield Improvement 17
- Plant responses to water stress 12
- GABA and Rice Research 10
-
- Genomics and Phylogenetic Studies 6
- Cancer-related gene regulation 4
- Co-authors
- Birendra Prasad Shaw (15 shared papers)Sudhanshu Sekhar (10 shared papers)Pravat Kumar Mohapatra (9 shared papers)Ekamber Kariali (8 shared papers)Neeraja M. Krishnan (12 shared papers)Saurabh Gupta (4 shared papers)Rina Das (1 shared paper)Kaushik Das (5 shared papers)
- Journals
- Functional Plant Biology (4 papers)PLoS ONE (3 papers)PeerJ (3 papers)Journal of Plant Physiology (2 papers)Plant Physiology and Biochemistry (2 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Binay Panda
45 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 100
- Plant Science 489
- Otorhinolaryngology 37
- Genetics 233
- Cancer Research 102
- Molecular Biology 437
Countries citing papers authored by Binay Panda
This map shows the geographic impact of Binay Panda'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 Binay Panda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Binay Panda more than expected).
Fields of papers citing papers by Binay Panda
This network shows the impact of papers produced by Binay Panda. 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 Binay Panda. The network helps show where Binay Panda may publish in the future.
Co-authors
The 25 scholars most cited alongside Binay Panda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 114 | |
| 2 | 2018 | 83 | |
| 3 | 2014 | 68 | |
| 4 | 2012 | 65 | |
| 5 | 2017 | 64 | |
| 6 | 2015 | 55 | |
| 7 | 2014 | 48 | |
| 8 | 2016 | 44 | |
| 9 | 2014 | 42 | |
| 10 | 2015 | 40 | |
| 11 | 2016 | 37 | |
| 12 | 2020 | 31 | |
| 13 | 2023 | 28 | |
| 14 | 2022 | 25 | |
| 15 | 2016 | 25 | |
| 16 | 2021 | 24 | |
| 17 | 2016 | 24 | |
| 18 | De novo sequencing and assembly of Azadirachta indica fruit transcriptome | 2011 | 23 |
| 19 | 2018 | 23 | |
| 20 | 2015 | 23 |
About Binay Panda
Binay Panda is a scholar working on Plant Science, Molecular Biology, Genetics, Cancer Research and Otorhinolaryngology, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Rice Cultivation and Yield Improvement (17 papers), Plant responses to water stress (12 papers), GABA and Rice Research (10 papers), Genomics and Phylogenetic Studies (6 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Cancer-related gene regulation (4 papers), Genomics and Rare Diseases (4 papers) and Head and Neck Cancer Studies (3 papers). The work is most often cited by research in Plant Science (489 citations), Otorhinolaryngology (37 citations), Genetics (233 citations), Cancer Research (102 citations) and Molecular Biology (437 citations). Binay Panda has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Birendra Prasad Shaw, Sudhanshu Sekhar, Pravat Kumar Mohapatra, Ekamber Kariali, Neeraja M. Krishnan, Saurabh Gupta, Rina Das, Kaushik Das, Swetansu Pattnaik and Prachi Jain. Their work appears in journals such as Functional Plant Biology, PLoS ONE, PeerJ, Journal of Plant Physiology and Plant Physiology and Biochemistry.
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.