Pooja Goyal
Impact in
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- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
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- Plant Gene Expression Analysis
- Plant biochemistry and biosynthesis
- Plant tissue culture and regeneration
- Photosynthetic Processes and Mechanisms
Papers in
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- Plant biochemistry and biosynthesis 4
- Ginseng Biological Effects and Applications 3
- Plant tissue culture and regeneration 3
- Plant Gene Expression Analysis 2
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- Smart Agriculture and AI 3
- Co-authors
- Suphla Gupta (9 shared papers)Rakesh Sharda (5 shared papers)Ritu Devi (4 shared papers)Sunil Kumar (2 shared papers)Palak Arora (2 shared papers)Sumita Kachhwaha (2 shared papers)S. L. Kothari (2 shared papers)Manoj K. Dhar (3 shared papers)
- Journals
- PROTOPLASMA (2 papers)Computers and Electronics in Agriculture (2 papers)Environmental Modeling & Assessment (1 paper)Gene (1 paper)Physiology and Molecular Biology of Plants (1 paper)
- Partner nations
- IndiaUnited StatesUnited Arab Emirates
In The Last Decade
Pooja Goyal
16 papers receiving 283 citations
Peers
Comparison fields: 5 of 54
- Plant Science 140
- Molecular Biology 161
- Pharmacology 20
- Horticulture 2
- Biotechnology 16
Countries citing papers authored by Pooja Goyal
This map shows the geographic impact of Pooja Goyal'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 Pooja Goyal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pooja Goyal more than expected).
Fields of papers citing papers by Pooja Goyal
This network shows the impact of papers produced by Pooja Goyal. 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 Pooja Goyal. The network helps show where Pooja Goyal may publish in the future.
Co-authors
The 25 scholars most cited alongside Pooja Goyal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 88 | |
| 2 | 2023 | 45 | |
| 3 | 2020 | 37 | |
| 4 | 2012 | 25 | |
| 5 | 2023 | 16 | |
| 6 | 2014 | 15 | |
| 7 | 2021 | 13 | |
| 8 | 2021 | 12 | |
| 9 | 2024 | 11 | |
| 10 | 2022 | 10 | |
| 11 | 2022 | 5 | |
| 12 | 2025 | 3 | |
| 13 | 2023 | 3 | |
| 14 | 2020 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2020 | 2 | |
| 17 | 2025 | 0 |
About Pooja Goyal
Pooja Goyal is a scholar working on Molecular Biology, Plant Science, Pharmacology, Soil Science and Ecology, having authored 17 papers that have together received 290 indexed citations. Recurring topics across this work include Pharmacological Effects of Natural Compounds (5 papers), Plant biochemistry and biosynthesis (4 papers), Ginseng Biological Effects and Applications (3 papers), Smart Agriculture and AI (3 papers), Plant tissue culture and regeneration (3 papers), Irrigation Practices and Water Management (3 papers), Plant Water Relations and Carbon Dynamics (2 papers) and Plant Gene Expression Analysis (2 papers). The work is most often cited by research in Plant Science (140 citations), Molecular Biology (161 citations), Pharmacology (20 citations), Horticulture (2 citations) and Biotechnology (16 citations). Pooja Goyal has collaborated with scholars based in India, United States and United Arab Emirates. Frequent co-authors include Suphla Gupta, Rakesh Sharda, Ritu Devi, Sunil Kumar, Palak Arora, Sumita Kachhwaha, S. L. Kothari, Manoj K. Dhar, Ram A. Vishwakarma and Deepak Sharma. Their work appears in journals such as PROTOPLASMA, Computers and Electronics in Agriculture, Environmental Modeling & Assessment, Gene and Physiology and Molecular Biology of 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.