Binay Panda
Impact in
- Otorhinolaryngology top 5%
- Head and Neck Cancer Studies
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- Retinal Development and Disorders
- Genomics and Phylogenetic Studies
- Plant biochemistry and biosynthesis
- RNA modifications and cancer
Papers in
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- Head and Neck Cancer Studies 5
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- Genomics and Phylogenetic Studies 7
- Gene expression and cancer classification 3
- Bioinformatics and Genomic Networks 2
- Plant biochemistry and biosynthesis 2
- Co-authors
- Neeraja M. Krishnan (14 shared papers)Saurabh Gupta (5 shared papers)Swetansu Pattnaik (5 shared papers)Arun K Hariharan (5 shared papers)Arjun Arkal Rao (2 shared papers)Janine A. Lamb (2 shared papers)Simon Ramsden (2 shared papers)Jamie M. Ellingford (2 shared papers)
- Journals
- PLoS ONE (3 papers)PeerJ (3 papers)Molecular Cancer Research (2 papers)Molecular Oncology (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- IndiaUnited StatesJapan
In The Last Decade
Binay Panda
26 papers receiving 763 citations
Peers
Comparison fields: 5 of 71
- Otorhinolaryngology 86
- Molecular Biology 438
- Genetics 146
- Cancer Research 47
- Health Informatics 6
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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 137 | |
| 2 | 2012 | 83 | |
| 3 | 2017 | 77 | |
| 4 | 2014 | 70 | |
| 5 | 2014 | 58 | |
| 6 | 2014 | 49 | |
| 7 | 2020 | 40 | |
| 8 | 2016 | 37 | |
| 9 | 2023 | 35 | |
| 10 | 2016 | 29 | |
| 11 | 2018 | 27 | |
| 12 | De novo sequencing and assembly of Azadirachta indica fruit transcriptome | 2011 | 26 |
| 13 | 2015 | 22 | |
| 14 | 2015 | 21 | |
| 15 | 2012 | 18 | |
| 16 | 2013 | 18 | |
| 17 | 2012 | 11 | |
| 18 | 2018 | 5 | |
| 19 | 2016 | 4 | |
| 20 | 2021 | 3 |
About Binay Panda
Binay Panda is a scholar working on Otorhinolaryngology, Molecular Biology, Cancer Research, Health Informatics and Genetics, having authored 29 papers that have together received 780 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Head and Neck Cancer Studies (5 papers), Cancer Genomics and Diagnostics (4 papers), Genomics and Rare Diseases (3 papers), Gene expression and cancer classification (3 papers), Artificial Intelligence in Healthcare and Education (2 papers), Bioinformatics and Genomic Networks (2 papers) and Plant biochemistry and biosynthesis (2 papers). The work is most often cited by research in Otorhinolaryngology (86 citations), Molecular Biology (438 citations), Genetics (146 citations), Cancer Research (47 citations) and Health Informatics (6 citations). Binay Panda has collaborated with scholars based in India, United States and Japan. Frequent co-authors include Neeraja M. Krishnan, Saurabh Gupta, Swetansu Pattnaik, Arun K Hariharan, Arjun Arkal Rao, Janine A. Lamb, Simon Ramsden, Jamie M. Ellingford, Sanjeev S. Bhaskar and Graeme Charles M. Black. Their work appears in journals such as PLoS ONE, PeerJ, Molecular Cancer Research, Molecular Oncology and BMC Bioinformatics.
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.