Sunil Kumar Sahu
Impact in
- Plant Science top 2%
- Plant-Microbe Interactions and Immunity
- Plant Molecular Biology Research
- Horticulture top 5%
Papers in
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- Genomics and Phylogenetic Studies 30
- Plant biochemistry and biosynthesis 13
- Single-cell and spatial transcriptomics 8
- Plant and Fungal Species Descriptions 8
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- Chromosomal and Genetic Variations 8
- Plant Molecular Biology Research 8
- Co-authors
- K. Kathiresan (9 shared papers)Ashish Prabhu Anand (4 shared papers)Huan Liu (42 shared papers)Muthusamy Thangaraj (4 shared papers)Yayu Wang (7 shared papers)Xin Liu (11 shared papers)Nan Yao (4 shared papers)Tao Jin (4 shared papers)
In The Last Decade
Sunil Kumar Sahu
129 papers receiving 3.8k citations
Sunil Kumar Sahu's Hit Papers
Peers
Comparison fields: 5 of 156
- Plant Science 1.3k
- Horticulture 30
- Molecular Biology 1.8k
- Biotechnology 188
- Ecology, Evolution, Behavior and Systematics 374
Countries citing papers authored by Sunil Kumar Sahu
This map shows the geographic impact of Sunil Kumar Sahu'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 Sunil Kumar Sahu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunil Kumar Sahu more than expected).
Fields of papers citing papers by Sunil Kumar Sahu
This network shows the impact of papers produced by Sunil Kumar Sahu. 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 Sunil Kumar Sahu. The network helps show where Sunil Kumar Sahu may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunil Kumar Sahu, 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 135 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 193 | |
| 2 | 2019 | 168 | |
| 3 | 2018 | 154 | |
| 4 | The Cycas genome and the early evolution of seed plants Hit paper breakdown → | 2022 | 154 |
| 5 | 2019 | 143 | |
| 6 | 2018 | 129 | |
| 7 | 2019 | 116 | |
| 8 | 2023 | 112 | |
| 9 | 2023 | 110 | |
| 10 | 2020 | 108 | |
| 11 | 2022 | 108 | |
| 12 | 2020 | 107 | |
| 13 | 2022 | 105 | |
| 14 | 2023 | 104 | |
| 15 | 2019 | 89 | |
| 16 | 2019 | 87 | |
| 17 | 2021 | 75 | |
| 18 | 2014 | 62 | |
| 19 | 2022 | 61 | |
| 20 | 2018 | 59 |
About Sunil Kumar Sahu
Sunil Kumar Sahu is a scholar working on Molecular Biology, Plant Science, Ecology, Genetics and Biotechnology, having authored 135 papers that have together received 3.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (30 papers), Plant biochemistry and biosynthesis (13 papers), Genetic diversity and population structure (9 papers), Chromosomal and Genetic Variations (8 papers), Plant Molecular Biology Research (8 papers), Single-cell and spatial transcriptomics (8 papers), Plant and Fungal Species Descriptions (8 papers) and Microbial Community Ecology and Physiology (8 papers). The work is most often cited by research in Plant Science (1.3k citations), Horticulture (30 citations), Molecular Biology (1.8k citations), Biotechnology (188 citations) and Ecology, Evolution, Behavior and Systematics (374 citations). Sunil Kumar Sahu has collaborated with scholars based in China, India and Denmark. Frequent co-authors include K. Kathiresan, Ashish Prabhu Anand, Huan Liu, Muthusamy Thangaraj, Yayu Wang, Xin Liu, Nan Yao, Tao Jin, Pravat Kumar Mohapatra and Jin Hua Xu. Their work appears in journals such as Nature Communications, Frontiers in Plant Science, Protist, GigaScience and Nature Plants.
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.