Preeti Jain

4.1k citations
242 papers · 3.1k indexed · h-index 29
Topics
Metal complexes synthesis and properties (26 papers)Muon and positron interactions and applications (17 papers)Nanoparticles: synthesis and applications (12 papers)
Journals
Journal of Biological ChemistryJournal of NeuroscienceSHILAP Revista de lepidopterología

In The Last Decade

Preeti Jain

221 papers receiving 2.9k citations

Peers

Preeti Jain
Comparison fields: 5 of 185
  • Materials Chemistry 645
  • Organic Chemistry 552
  • Molecular Biology 467
  • Biomedical Engineering 383
  • Electrical and Electronic Engineering 363
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Citations per field
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Citations per year

Countries citing papers authored by Preeti Jain

Since Specialization
Citations

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

Fields of papers citing papers by Preeti Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Preeti Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Preeti Jain. A scholar is included among the top collaborators of Preeti Jain 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 Preeti Jain. Preeti Jain 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
#WorkIndexed citations
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Blended-Learning-EnvironmenThe skills like observing, modelling, interpreting and utilizing the solutions for problem solving are learnable for the higher education learners. Mathematical-knowledge leads to cognitive development for HELs. Inhaling capacity of the above-mentioned skills among learners is possible through their cognitive development. Learning environment is one of the most crucial key factors for Mathematics-learning. Based on sensitivity about attitude, engagement and formal and informal learning environments (for mathematics-learning), the primary data on about two hundred and ten individuals had been collected and taken for this research work. Principal Component Analysis, machine learning technique has been opted to reduce the dimension. Insights of dimensionally reduced data has been discussed scientifically, especially about the learning environments, using Structural equation modelling. Learners’ sentiment about the formal (or physical) learning environment has been observed from SEM with mediation effect. This effect on physical learning environment from performance through (social media-learning) informal Learning is 10.9%. But the absence of social media-learning in the path analysis is showing 1.8% effect on formal learning environment. Results are indicating clearly, that the integration of informal aspect (Social Medias) in learning process is immediate need. Educational stake-holders should be promoted to adapt the innovation techniques by every educational institutions’ policy makers. Blended-learning environments could be created to improve the performance of learners in Mathematics subject. Integration of physical (formal) and virtual learning (learning through social media) is possible by the collaborative effort between educators and industries. The next generation learning could be enhanced through integration of three-dimensional projectors in the form of internet application with learning facilities, which could be useful for rural area learners also.t for Mathematical Skill Acquisition among Higher Education Learners Using Principal Component Analysis and Structural Equation Modelling
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Antioxidant and antimicrobial screening of Ciprofloxacin derivativeand its complexes
1
8
Primary schwannoma of thyroid gland in an adolescent male: a rare case-report with review of literature
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9
Phytochemical analysis of Mentha spicata plant extract using UV-VIS, FTIR and GC/MS technique
63
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NAJAFGARH DRAIN-SAMPLING AND ANALYSIS
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Computational Study of Corrosion Potential of Ciprofloxacin Drug: DFT Approach
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Study of industrial effluent from Hindustan Phosphate Limited and its treatment with lime and alum.
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Atomic absorption spectrometric determination of copper after adsorption of its sodiumdiethyldithiocarbamate complex on a new polymeric adsorbent
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Production of heptaene antifungal antibiotic by Streptomyces purpeofuscus CM 1261.
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Keratin degrading and enzyme production ability of fungi from soil
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Effect of sodium citrate ingestion on oxygen debt & exercise endurance during supramaximal exercise.
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A colorimetric method for ascorbic acid assay of pharmaceuticals
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Polymyositis associated with overlap syndrome (a case report).
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A note on the keratin decomposing capability of some fungi.
12

About Preeti Jain

Preeti Jain is a scholar working on Organic Chemistry, Biotechnology and Fluid Flow and Transfer Processes, having authored 242 papers that have together received 3.1k indexed citations. Recurring topics across this work include Metal complexes synthesis and properties (26 papers), Muon and positron interactions and applications (17 papers) and Nanoparticles: synthesis and applications (12 papers). The work is most often cited by research in Metals and Alloys (76 citations), Electrochemistry (134 citations) and Polymers and Plastics (268 citations). Preeti Jain has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Meenakshi Mahajan, Jeetendra Bhawsar, Sanjay Arya, I. K. Varma, Veena Choudhary, R. C. Chaudhary, Payal Jain, Anindita De, Anant Kumar Srivastava and Sachin K. Jain. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and SHILAP Revista de lepidopterología.

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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