Pradeep Sharma

6.2k total citations
195 papers, 3.8k citations indexed

About

Pradeep Sharma is a scholar working on Plant Science, Molecular Biology and Soil Science. According to data from OpenAlex, Pradeep Sharma has authored 195 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 156 papers in Plant Science, 39 papers in Molecular Biology and 29 papers in Soil Science. Recurrent topics in Pradeep Sharma's work include Wheat and Barley Genetics and Pathology (50 papers), Plant Virus Research Studies (34 papers) and Genetics and Plant Breeding (30 papers). Pradeep Sharma is often cited by papers focused on Wheat and Barley Genetics and Pathology (50 papers), Plant Virus Research Studies (34 papers) and Genetics and Plant Breeding (30 papers). Pradeep Sharma collaborates with scholars based in India, Japan and Philippines. Pradeep Sharma's co-authors include Indu Sharma, Om Prakash Gupta, M. Ikegami, Bharati Pandey, Masato Ikegami, Lav Bhushan, H. S. Balyan, J. K. Ladha, Rajarshi Kumar Gaur and Gyanendra Pratap Singh and has published in prestigious journals such as PLoS ONE, Scientific Reports and Soil Science Society of America Journal.

In The Last Decade

Pradeep Sharma

186 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pradeep Sharma India 36 3.0k 760 662 497 411 195 3.8k
K. A. Malik Pakistan 36 3.0k 1.0× 723 1.0× 924 1.4× 383 0.8× 90 0.2× 148 4.3k
Qin Yao China 29 989 0.3× 683 0.9× 1.4k 2.1× 116 0.2× 285 0.7× 177 2.9k
A. D. Robson Australia 38 5.3k 1.8× 1.4k 1.9× 742 1.1× 428 0.9× 359 0.9× 128 6.5k
Na Liu China 27 1.5k 0.5× 321 0.4× 506 0.8× 149 0.3× 155 0.4× 101 2.0k
Timothy C. Paulitz United States 49 7.8k 2.6× 1.0k 1.4× 1.4k 2.0× 399 0.8× 90 0.2× 223 9.0k
Feng Cui China 36 1.9k 0.6× 418 0.6× 1.5k 2.3× 93 0.2× 170 0.4× 134 4.1k
Geneviève Défago Switzerland 46 6.5k 2.2× 236 0.3× 2.4k 3.5× 97 0.2× 533 1.3× 113 8.0k
Philippe Lemanceau France 29 2.0k 0.7× 609 0.8× 723 1.1× 121 0.2× 105 0.3× 46 3.0k
Abdul Wakeel Pakistan 29 2.2k 0.8× 689 0.9× 440 0.7× 367 0.7× 54 0.1× 103 3.7k
Kristina Lindström Finland 43 4.4k 1.5× 610 0.8× 1.1k 1.7× 1.2k 2.4× 63 0.2× 140 6.2k

Countries citing papers authored by Pradeep Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Pradeep Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pradeep Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Pradeep Sharma. A scholar is included among the top collaborators of Pradeep 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 Pradeep Sharma. Pradeep 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.
Saripalli, Gautam, Raju Bheemanahalli, S. V. Krishna Jagadish, et al.. (2025). Impact of heat stress on expression of nine major starch biosynthesis genes in two wheat genotypes differing for heat stress tolerance. Plant Physiology Reports. 30(4). 762–770.
3.
Panwar, Surbhi, et al.. (2024). Identification of micronutrient deficiency related miRNA and their targets in Triticum aestivum using bioinformatics approach. Ecological Genetics and Genomics. 31. 100236–100236. 2 indexed citations
5.
Singh, Sanjay, et al.. (2024). Heat stress induced cytosine methylation in the coding region of Rubisco activase (Rca) reveals its genotype-specific expression in contrasting wheat genotypes. Indian Journal of Genetics and Plant Breeding (The). 84(2). 168–173. 1 indexed citations
6.
Singh, Gyanendra Pratap, et al.. (2024). Genome-wide expression analysis of novel heat-responsive microRNAs and their targets in contrasting wheat genotypes at reproductive stage under terminal heat stress. Frontiers in Plant Science. 15. 1328114–1328114. 4 indexed citations
7.
Mishra, Shefali, et al.. (2023). Role of GRAS Transcription Factor in Plant Growth, Development and Various Stresses: A Review. Indian Journal of Agricultural Research.
8.
Dhillon, B. S., Pradeep Sharma, & P K Kingra. (2017). Agronomic measures to improve thermal energy utilization by spring sunflower (Helianthus annuus L.).. Journal of Agrometeorology. 19(1). 34–38. 3 indexed citations
9.
Pandey, Bharati, et al.. (2014). Isolation and characterization of dehydration-responsive element-binding factor 2 (DREB2) from Indian wheat (Triticum aestivum L.) cultivars. Australian Journal of Crop Science. 8(1). 44–54. 18 indexed citations
10.
Tiwari, Ajay Kumar, et al.. (2012). Molecular detection and identification of Tomato leaf curl New Delhi virus associated with yellow mosaic and leaf curl disease of Luffa cylindrica in India. Indian Phytopathology. 65(1). 80–84. 10 indexed citations
11.
Pandey, Bipin K., Pradeep Sharma, Dev Mani Pandey, et al.. (2012). Comprehensive computational analysis of different classes of Glutathione S-transferases in Triticum aestivum L.. Plant Omics. 5(6). 518–531. 3 indexed citations
12.
Sharma, Pradeep, et al.. (2008). Fertilizer N Economy, Soil Nutrient Status, Water Use Efficiency and Rice Productivity with Real-time Nitrogen Management and Organic Residues under Irrigated and Rainfed Situations. Journal of the Indian Society of Soil Science. 56(2). 167–173. 2 indexed citations
13.
Sharma, Pradeep, et al.. (2007). Decentralization : institutions and politics in rural India. Oxford University Press eBooks. 10 indexed citations
14.
Jayal, Niraja Gopal, et al.. (2006). Local governance in India : decentralization and beyond. Oxford University Press eBooks. 25 indexed citations
15.
Sharma, Pradeep & Lav Bhushan. (2003). Puddlability and structural regeneration of a rice soil amended with waste organic residue. Journal of the Indian Society of Soil Science. 51(2). 189–191. 5 indexed citations
16.
Sharma, Pradeep & Narayan Rishi. (2003). Host range and vector relationships of Cotton leaf curl virus from northern India. Indian Phytopathology. 56(4). 496–499. 10 indexed citations
17.
Sharma, Pradeep. (2003). Raised-Sunken bed system for increasing productivity of rice-based cropping system in high rainfall areas of Himachal Pradesh. Journal of the Indian Society of Soil Science. 51(1). 10–16. 7 indexed citations
18.
Sharma, Pradeep & Lav Bhushan. (2001). Interpretation of Effect of Organic Matter on Soil-Water Retention. Journal of the Indian Society of Soil Science. 49(3). 494–495. 4 indexed citations
19.
Sharma, Pradeep & R.M. Bhagat. (1993). A simple apparatus for measuring clod breaking strength. Journal of the Indian Society of Soil Science. 41(3). 422–425. 3 indexed citations
20.
Gulati, Ashok & Pradeep Sharma. (1990). Prices, procurement and production: an analysis of wheat and rice.. Economic and political weekly. 25(13). 7 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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