Deeksha Singh
Impact in
- Plant Science top 10%
- Light effects on plants
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
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- Phytochemicals and Medicinal Plants
Papers in
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- Photosynthetic Processes and Mechanisms 6
- Genomics and Phylogenetic Studies 5
- Plant biochemistry and biosynthesis 4
- Plant Gene Expression Analysis 2
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- Plant Molecular Biology Research 9
- Light effects on plants 6
- Co-authors
- Sourav Datta (5 shared papers)Arpita Yadav (2 shared papers)Premachandran Yadukrishnan (1 shared paper)Shyam Kumar Masakapalli (1 shared paper)Maneesh Lingwan (1 shared paper)Prabodh Kumar Trivedi (8 shared papers)Nivedita Singh (6 shared papers)Yogeshwar Vikram Dhar (2 shared papers)
In The Last Decade
Deeksha Singh
21 papers receiving 345 citations
Peers
Comparison fields: 5 of 63
- Plant Science 253
- Complementary and alternative medicine 26
- Molecular Biology 192
- Biochemistry 13
- Food Science 19
Countries citing papers authored by Deeksha Singh
This map shows the geographic impact of Deeksha Singh'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 Deeksha Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deeksha Singh more than expected).
Fields of papers citing papers by Deeksha Singh
This network shows the impact of papers produced by Deeksha Singh. 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 Deeksha Singh. The network helps show where Deeksha Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Deeksha Singh, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 166 | |
| 2 | 2020 | 44 | |
| 3 | 2021 | 24 | |
| 4 | 2017 | 20 | |
| 5 | 2023 | 17 | |
| 6 | 2017 | 15 | |
| 7 | 2023 | 11 | |
| 8 | 2024 | 9 | |
| 9 | 2020 | 6 | |
| 10 | 2024 | 5 | |
| 11 | 2024 | 5 | |
| 12 | 2024 | 5 | |
| 13 | 2015 | 4 | |
| 14 | 2015 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2017 | 1 |
About Deeksha Singh
Deeksha Singh is a scholar working on Molecular Biology, Plant Science, Ecology, Complementary and alternative medicine and Food Science, having authored 23 papers that have together received 348 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (9 papers), Photosynthetic Processes and Mechanisms (6 papers), Light effects on plants (6 papers), Genomics and Phylogenetic Studies (5 papers), Microbial Community Ecology and Physiology (4 papers), Plant biochemistry and biosynthesis (4 papers), Phytochemicals and Medicinal Plants (3 papers) and Plant Gene Expression Analysis (2 papers). The work is most often cited by research in Plant Science (253 citations), Complementary and alternative medicine (26 citations), Molecular Biology (192 citations), Biochemistry (13 citations) and Food Science (19 citations). Deeksha Singh has collaborated with scholars based in India and Nepal. Frequent co-authors include Sourav Datta, Arpita Yadav, Premachandran Yadukrishnan, Shyam Kumar Masakapalli, Maneesh Lingwan, Prabodh Kumar Trivedi, Nivedita Singh, Yogeshwar Vikram Dhar, Parul Gupta and Deepak Chandra. Their work appears in journals such as Plant Cell Tissue and Organ Culture (PCTOC), Plant Physiology and Biochemistry, PLANT PHYSIOLOGY, Functional & Integrative Genomics and Bioinformatics and Biology Insights.
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.