Rita Sharma

6.8k total citations · 1 hit paper
108 papers, 3.4k citations indexed

About

Rita Sharma is a scholar working on Molecular Biology, Plant Science and Physiology. According to data from OpenAlex, Rita Sharma has authored 108 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 51 papers in Plant Science and 11 papers in Physiology. Recurrent topics in Rita Sharma's work include Plant Molecular Biology Research (22 papers), Genomics and Phylogenetic Studies (12 papers) and Plant Gene Expression Analysis (12 papers). Rita Sharma is often cited by papers focused on Plant Molecular Biology Research (22 papers), Genomics and Phylogenetic Studies (12 papers) and Plant Gene Expression Analysis (12 papers). Rita Sharma collaborates with scholars based in India, United States and South Korea. Rita Sharma's co-authors include Manoj K. Sharma, Akhilesh K. Tyagi, Sanjay Kapoor, Pamela C. Ronald, Mukesh Jain, Jitendra P. Khurana, Aashima Nijhawan, Pinky Agarwal, Swatismita Ray and David De Vleesschauwer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Rita Sharma

104 papers receiving 3.3k citations

Hit Papers

F-Box Proteins in Rice. Genome-Wide Analysis, Classificat... 2007 2026 2013 2019 2007 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. F-Box Proteins in Rice. Genome-Wide Analysis, Classification, Temporal and Spatial Gene Expression during Panicle and Seed Development, and Regulation by Light and Abiotic Stress
    2007 567 citations Rita Sharma et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rita Sharma India 31 2.1k 1.6k 359 197 192 108 3.4k
Ke Wang China 38 2.4k 1.1× 2.1k 1.3× 484 1.3× 140 0.7× 276 1.4× 236 4.9k
Runzhi Li China 33 1.9k 0.9× 1.6k 1.0× 290 0.8× 240 1.2× 166 0.9× 174 3.4k
Ying Li China 38 3.0k 1.4× 2.6k 1.6× 274 0.8× 202 1.0× 142 0.7× 223 4.6k
Peng Yan China 42 3.7k 1.8× 2.2k 1.4× 376 1.0× 171 0.9× 242 1.3× 265 6.6k
Cheng Liu China 30 1.6k 0.8× 874 0.5× 454 1.3× 180 0.9× 171 0.9× 179 3.3k
Peng Zhang China 45 4.3k 2.1× 2.7k 1.6× 291 0.8× 176 0.9× 189 1.0× 238 6.4k
Chun Wang China 29 2.2k 1.0× 1.9k 1.1× 178 0.5× 119 0.6× 84 0.4× 162 4.3k
Patrick Armengaud United Kingdom 20 2.7k 1.3× 1.5k 0.9× 199 0.6× 83 0.4× 174 0.9× 22 4.0k
Qing Li China 37 1.9k 0.9× 1.7k 1.0× 495 1.4× 94 0.5× 86 0.4× 179 4.1k

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-authorship network of co-authors of Rita Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Rita Sharma. A scholar is included among the top collaborators of Rita Sharma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rita Sharma. Rita Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sharma, Manoj K., et al.. (2024). Temporal Gene Expression Profiles From Pollination to Seed Maturity in Sorghum Provide Core Candidates for Engineering Seed Traits. Plant Cell & Environment. 48(4). 2662–2690. 2 indexed citations
2.
Sharma, Niharika, et al.. (2023). Non-coding RNAs-mediated environmental surveillance determines male fertility in plants. Plant Physiology and Biochemistry. 203. 108030–108030. 3 indexed citations
3.
Sharma, Rita, et al.. (2023). Emerging roles of long non-coding RNAs in regulating agriculturally important seed traits. Plant Physiology and Biochemistry. 203. 108019–108019. 9 indexed citations
4.
5.
Sharma, Niharika, et al.. (2023). Data-driven approaches to improve water-use efficiency and drought resistance in crop plants. Plant Science. 336. 111852–111852. 8 indexed citations
6.
Sharma, Rita, Yan Liang, Mi Yeon Lee, et al.. (2020). Agrobacterium-mediated transient transformation of sorghum leaves for accelerating functional genomics and genome editing studies. BMC Research Notes. 13(1). 116–116. 28 indexed citations
7.
Vishwakarma, Chandrapal, et al.. (2020). Gene Expression Dynamics in Rice Peduncles at the Heading Stage. Frontiers in Genetics. 11. 584678–584678. 12 indexed citations
8.
9.
Sharma, Rita, et al.. (2018). Origin, evolution, and divergence of plant class C GH9 endoglucanases. BMC Evolutionary Biology. 18(1). 79–79. 9 indexed citations
10.
Kumar, Ajit & Rita Sharma. (2012). Production of alkaline pectinase by bacteria (Cocci sps.) isolated from decomposing fruit materials. SHILAP Revista de lepidopterología. 19 indexed citations
11.
Varanasi, Patanjali, David M. Larson, Rita Sharma, et al.. (2012). Mechanical Stress Analysis as a Method to Understand the Impact of Genetically Engineered Rice and Arabidopsis Plants. Industrial Biotechnology. 8(4). 238–244. 7 indexed citations
12.
Sharma, Ghanashyam, Rita Sharma, & Eklabya Sharma. (2009). Traditional knowledge systems in large cardamom farming: biophysical and management diversity in Indian mountainous regions. Indian Journal of Traditional Knowledge. 8(1). 17–22. 26 indexed citations
13.
Sharma, Rita, Jianchu Xu, & Gaurav Sharma. (2007). Traditional agroforestry in the eastern Himalayan region: Land management system supporting ecosystem services. Tropical Ecology. 48(2). 189–200. 53 indexed citations
14.
Xu, Jianchu, et al.. (2007). Critical linkages between land-use transition and human health in the Himalayan region. Environment International. 34(2). 239–247. 34 indexed citations
15.
Sharma, Rita & David Poole. (2005). Probabilistic reasoning with hierarchically structured variables. International Joint Conference on Artificial Intelligence. 1391–1397. 2 indexed citations
16.
17.
Carenini, Giuseppe & Rita Sharma. (2004). Exploring more realistic evaluation measures for collaborative filtering. National Conference on Artificial Intelligence. 749–754. 7 indexed citations
18.
Sharma, Eklabya, et al.. (2000). A Boon for Mountain Populations. Mountain Research and Development. 20(2). 108–111. 42 indexed citations
19.
Sharma, Rita, et al.. (1994). Effect of defaunation of rumen functions in buffaloes fed high concentrate diet. The Indian Journal of Animal Sciences. 64(11). 2 indexed citations
20.
Sharma, Rita & R.K. Kale. (1993). Effect of Radiation on Glyoxalase I and Glyoxalase II Activities in Spleen and Liver of Mice. International Journal of Radiation Biology. 63(2). 233–238. 24 indexed citations

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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