Rita Sharma

5.8k citations
96 papers · 2.7k · h-index 30

Impact in

    • Plant Molecular Biology Research
    • Plant Stress Responses and Tolerance
    • Plant-Microbe Interactions and Immunity
    • Plant nutrient uptake and metabolism
  • Aging top 5%

Papers in

    • Plant Molecular Biology Research 22
    • Plant nutrient uptake and metabolism 8
    • Plant Stress Responses and Tolerance 7
    • Plant Gene Expression Analysis 9
    • Photosynthetic Processes and Mechanisms 8
    • Plant Reproductive Biology 7

Rita Sharma

94 papers receiving 2.6k citations

Peers

Rita Sharma
Comparison fields: 5 of 147
  • Plant Science 1.5k
  • Aging 42
  • Molecular Biology 1.1k
  • Agronomy and Crop Science 168
  • Forestry 39
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Citations per field
00.5×1.5×2.5×
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Citations per year

Countries citing papers authored by Rita Sharma

Since Specialization
Citations

This map shows the geographic impact of Rita 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 Rita Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rita Sharma more than expected).

Fields of papers citing papers by Rita Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rita 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 Rita Sharma. The network helps show where Rita Sharma may publish in the future.

Co-authors

The 25 scholars most cited alongside Rita Sharma, 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 Rita Sharma Line = papers co-authored together Rita Sharma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010188
2 2017178
3 2013132
4 2011110
5 2013101
6 201281
7 201679
8 200978
9 201877
10 200776
11 201876
12 200469
13 201268
14 201663
15 201362
16 202056
17
Traditional agroforestry in the eastern Himalayan region: Land management system supporting ecosystem services
200755
18 200654
19 201246
20 201845

About Rita Sharma

Rita Sharma is a scholar working on Plant Science, Molecular Biology, Physiology, Biomedical Engineering and Agronomy and Crop Science, having authored 96 papers that have together received 2.7k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (22 papers), Plant Gene Expression Analysis (9 papers), Biofuel production and bioconversion (9 papers), Plant nutrient uptake and metabolism (8 papers), Adipose Tissue and Metabolism (8 papers), Photosynthetic Processes and Mechanisms (8 papers), Plant Reproductive Biology (7 papers) and Plant Stress Responses and Tolerance (7 papers). The work is most often cited by research in Plant Science (1.5k citations), Aging (42 citations), Molecular Biology (1.1k citations), Agronomy and Crop Science (168 citations) and Forestry (39 citations). Rita Sharma has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include Manoj K. Sharma, Pamela C. Ronald, Akhilesh K. Tyagi, Sanjay Kapoor, David De Vleesschauwer, Priyanka Deveshwar, Namrata Dhaka, A. V. Umakanth, Vilas A. Tonapi and Eklabya Sharma. Their work appears in journals such as Frontiers in Plant Science, Scientific Reports, PLoS ONE, Proceedings of the National Academy of Sciences and Plant Science.

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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