Pooja Sharma
Impact in
- Plant Science top 5%
- Plant Molecular Biology Research
- Plant nutrient uptake and metabolism
- Light effects on plants
- Plant Pathogens and Resistance
- Plant Disease Resistance and Genetics
- Food Science top 10%
- Potato Plant Research
Papers in
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- Plant Molecular Biology Research 12
- Plant nutrient uptake and metabolism 7
- Light effects on plants 6
- Chromosomal and Genetic Variations 4
- Plant Disease Resistance and Genetics 3
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- Photosynthetic Processes and Mechanisms 5
- Plant Reproductive Biology 2
- Co-authors
- David J. Hannapel (8 shared papers)Tian Lin (6 shared papers)Jitendra P. Khurana (5 shared papers)Mithu Chatterjee (3 shared papers)Anjan K. Banerjee (2 shared papers)Daniel H. González (1 shared paper)Ivana L. Viola (1 shared paper)Carolina Grandellis (1 shared paper)
- Journals
- PLANT PHYSIOLOGY (4 papers)Genetica (2 papers)Plant Molecular Biology (2 papers)Journal of Experimental Botany (2 papers)BMC Genomics (1 paper)
- Partner nations
- IndiaUnited StatesArgentina
In The Last Decade
Pooja Sharma
17 papers receiving 676 citations
Peers
Comparison fields: 5 of 46
- Plant Science 639
- Food Science 141
- Molecular Biology 308
- Horticulture 4
- Endocrinology 6
Countries citing papers authored by Pooja Sharma
This map shows the geographic impact of Pooja Sharma'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 Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pooja Sharma more than expected).
Fields of papers citing papers by Pooja Sharma
This network shows the impact of papers produced by Pooja Sharma. 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 Sharma. The network helps show where Pooja Sharma may publish in the future.
Co-authors
The 25 scholars most cited alongside Pooja Sharma, 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 | 2017 | 81 | |
| 2 | 2015 | 78 | |
| 3 | 2012 | 77 | |
| 4 | 2006 | 72 | |
| 5 | 2015 | 70 | |
| 6 | 2014 | 64 | |
| 7 | 2013 | 53 | |
| 8 | 2017 | 52 | |
| 9 | 2013 | 35 | |
| 10 | 1999 | 29 | |
| 11 | 2015 | 17 | |
| 12 | 2006 | 17 | |
| 13 | 1984 | 14 | |
| 14 | 2022 | 10 | |
| 15 | 2022 | 8 | |
| 16 | 1999 | 5 | |
| 17 | 1985 | 2 |
About Pooja Sharma
Pooja Sharma is a scholar working on Plant Science, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Food Science and Global and Planetary Change, having authored 17 papers that have together received 684 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (12 papers), Plant nutrient uptake and metabolism (7 papers), Light effects on plants (6 papers), Photosynthetic Processes and Mechanisms (5 papers), Chromosomal and Genetic Variations (4 papers), Plant Disease Resistance and Genetics (3 papers), Seed and Plant Biochemistry (2 papers) and Plant Reproductive Biology (2 papers). The work is most often cited by research in Plant Science (639 citations), Food Science (141 citations), Molecular Biology (308 citations), Horticulture (4 citations) and Endocrinology (6 citations). Pooja Sharma has collaborated with scholars based in India, United States and Argentina. Frequent co-authors include David J. Hannapel, Tian Lin, Jitendra P. Khurana, Mithu Chatterjee, Anjan K. Banerjee, Daniel H. González, Ivana L. Viola, Carolina Grandellis, Mei Yu and Nathaniel Butler. Their work appears in journals such as PLANT PHYSIOLOGY, Genetica, Plant Molecular Biology, Journal of Experimental Botany and BMC Genomics.
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.