Binay Panda

1.6k citations
45 papers · 1.1k indexed · h-index 21

Impact in

    • Rice Cultivation and Yield Improvement
    • Plant responses to water stress
    • GABA and Rice Research
    • Plant Molecular Biology Research
  • Genetics top 10%
    • Genetic Mapping and Diversity in Plants and Animals

Papers in

Binay Panda

45 papers receiving 1.0k citations

Peers

Binay Panda
Comparison fields: 5 of 100
  • Plant Science 488
  • Genetics 270
  • Otorhinolaryngology 40
  • Cancer Research 124
  • Molecular Biology 507
Replace Dhinoth Bangarusamy with:
Dhinoth Bangarusamy United States
Ruifeng Guo United States
Dongwon Lee United States
Christelle Robert United Kingdom
Yongtao Yu China
Yiming Yu China
Xiaoqi Shi China
Craig Pohl United States
Xuelei Lin China
Binay Panda relative to Dhinoth Bangarusamy United States Dhinoth Bangarusamy's profile →
Citations per field
00.5×10×13.3×
Dhinoth Bangarusamy · 1×
Citations per year

Countries citing papers authored by Binay Panda

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Binay Panda Line = papers co-authored together Binay Panda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016112
2 201876
3 201468
4 201764
5 201264
6 201553
7 201448
8 201643
9 201441
10 201539
11 201635
12 202030
13 202325
14 201624
15 202224
16 201624
17
De novo sequencing and assembly of Azadirachta indica fruit transcriptome
201123
18 201523
19 201822
20 202122

About Binay Panda

Binay Panda is a scholar working on Otorhinolaryngology, Plant Science, Cancer Research, Genetics and Numerical Analysis, having authored 45 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 Genomics and Diagnostics (5 papers), RNA modifications and cancer (4 papers) and Cancer-related gene regulation (4 papers). The work is most often cited by research in Plant Science (488 citations), Genetics (270 citations), Otorhinolaryngology (40 citations), Cancer Research (124 citations) and Molecular Biology (507 citations). Binay Panda has collaborated with scholars based in India, United Kingdom and Japan. Frequent co-authors include Birendra Prasad Shaw, Sudhanshu Sekhar, Pravat Kumar Mohapatra, Ekamber Kariali, Neeraja M. Krishnan, Saurabh Gupta, Rina Das, Swetansu Pattnaik, Kaushik Das and Prachi Jain. Their work appears in journals such as Functional Plant Biology, PeerJ, PLoS ONE, 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.

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