Preety Sharma

595 total citations · 1 hit paper
9 papers, 477 citations indexed

About

Preety Sharma is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Plant Science. According to data from OpenAlex, Preety Sharma has authored 9 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Electrical and Electronic Engineering and 3 papers in Plant Science. Recurrent topics in Preety Sharma's work include Electrochemical sensors and biosensors (5 papers), Studies on Chitinases and Chitosanases (4 papers) and Electrochemical Analysis and Applications (3 papers). Preety Sharma is often cited by papers focused on Electrochemical sensors and biosensors (5 papers), Studies on Chitinases and Chitosanases (4 papers) and Electrochemical Analysis and Applications (3 papers). Preety Sharma collaborates with scholars based in India. Preety Sharma's co-authors include C.S. Pundir, Vinita Hooda, Swati Sharma, Nidhi Chauhan, Jagriti Narang and Renu Sharma and has published in prestigious journals such as Analytical Biochemistry, Biosensors and Bioelectronics and International Journal of Biological Macromolecules.

In The Last Decade

Preety Sharma

9 papers receiving 463 citations

Hit Papers

Bio-sensing of organophosphorus pesticides: A review 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Preety Sharma India 8 243 224 139 89 85 9 477
Shuibing Lao China 8 165 0.7× 146 0.7× 136 1.0× 131 1.5× 34 0.4× 15 428
Jianhui Liu China 14 429 1.8× 199 0.9× 155 1.1× 153 1.7× 135 1.6× 33 629
Tarun Kumar Dhiman India 15 249 1.0× 153 0.7× 233 1.7× 161 1.8× 63 0.7× 36 513
Minni Singh India 13 273 1.1× 242 1.1× 105 0.8× 192 2.2× 110 1.3× 20 636
Munna Singh Thakur India 15 326 1.3× 211 0.9× 168 1.2× 189 2.1× 74 0.9× 24 649
Souvik Pal India 10 209 0.9× 143 0.6× 76 0.5× 175 2.0× 119 1.4× 28 427
Guofan Wu China 16 443 1.8× 207 0.9× 136 1.0× 149 1.7× 149 1.8× 36 698
Dipali Bagal-Kestwal Taiwan 12 169 0.7× 183 0.8× 58 0.4× 103 1.2× 82 1.0× 18 393
Nicolette R. Hendricks South Africa 10 217 0.9× 166 0.7× 83 0.6× 124 1.4× 81 1.0× 13 454
Ana‐Maria Gurban Romania 14 146 0.6× 157 0.7× 77 0.6× 149 1.7× 91 1.1× 33 525

Countries citing papers authored by Preety Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Preety Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Preety Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Preety Sharma. A scholar is included among the top collaborators of Preety 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 Preety Sharma. Preety Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Pundir, C.S., et al.. (2019). Bio-sensing of organophosphorus pesticides: A review. Biosensors and Bioelectronics. 140. 111348–111348. 338 indexed citations breakdown →
2.
Sharma, Preety, et al.. (2019). Purification and properties of plant chitinases: A review. Journal of Food Biochemistry. 43(3). e12762–e12762. 31 indexed citations
3.
Sharma, Preety, Nidhi Chauhan, Swati Sharma, & Vinita Hooda. (2018). Improved protein determination assays obtained after substitution of copper sulfate by copper oxide nanoparticles. Analytical Biochemistry. 547. 19–25. 8 indexed citations
4.
Sharma, Preety, Swati Sharma, & Vinita Hooda. (2018). Purification and Analytical Application of Vigna mungo Chitinase for Determination of Total Fungal Load of Stored Cereals. Applied Biochemistry and Biotechnology. 186(1). 12–26. 10 indexed citations
5.
Hooda, Vinita, Nidhi Chauhan, & Preety Sharma. (2018). A Novel Eco-friendly Approach for the Synthesis of Silver Nanoparticles Using Immobilized Glucose Oxidase. Nanoscience & Nanotechnology-Asia. 8(1). 1 indexed citations
6.
Sharma, Preety & Vinita Hooda. (2017). Increasing the efficiency of immobilization and chitin determination using copper oxide nanoparticles. Talanta. 168. 246–256. 10 indexed citations
7.
Sharma, Preety & Vinita Hooda. (2017). A novel polyurethane/nano ZnO matrix for immobilization of chitinolytic enzymes and optical sensing of chitin. International Journal of Biological Macromolecules. 106. 1173–1183. 31 indexed citations
8.
Sharma, Preety & Vinita Hooda. (2013). Immobilization and Kinetics of Catalase on Calcium Carbonate Nanoparticles Attached Epoxy Support. Applied Biochemistry and Biotechnology. 172(1). 115–130. 33 indexed citations
9.
Pundir, C.S., Jagriti Narang, Nidhi Chauhan, Preety Sharma, & Renu Sharma. (2012). An amperometric cholesterol biosensor based on epoxy resin membrane bound cholesterol oxidase.. PubMed. 136(4). 633–40. 15 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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