Preeti Jain

4.1k total citations
242 papers, 3.1k citations indexed

About

Preeti Jain is a scholar working on Organic Chemistry, Materials Chemistry and Oncology. According to data from OpenAlex, Preeti Jain has authored 242 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Organic Chemistry, 35 papers in Materials Chemistry and 30 papers in Oncology. Recurrent topics in Preeti Jain's work include Metal complexes synthesis and properties (26 papers), Muon and positron interactions and applications (17 papers) and Nanoparticles: synthesis and applications (12 papers). Preeti Jain is often cited by papers focused on Metal complexes synthesis and properties (26 papers), Muon and positron interactions and applications (17 papers) and Nanoparticles: synthesis and applications (12 papers). Preeti Jain collaborates with scholars based in India, United States and United Kingdom. Preeti Jain's 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 and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Preeti Jain

221 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Preeti Jain India	29	645	552	467	383	363	242	3.1k
Mamta Sharma India	30	863 1.3×	390 0.7×	290 0.6×	536 1.4×	663 1.8×	228	3.1k
Xiangli Liu China	32	730 1.1×	300 0.5×	779 1.7×	719 1.9×	581 1.6×	145	3.8k
Shu‐Jun Liu China	26	587 0.9×	561 1.0×	331 0.7×	346 0.9×	260 0.7×	89	3.9k
Xiaochun Hu China	32	934 1.4×	325 0.6×	791 1.7×	1.0k 2.7×	266 0.7×	153	3.2k
Neha Sharma India	27	960 1.5×	528 1.0×	351 0.8×	491 1.3×	422 1.2×	205	3.1k
Shaohua Huang China	35	695 1.1×	779 1.4×	953 2.0×	478 1.2×	606 1.7×	180	4.2k
Yibing Wang China	31	902 1.4×	420 0.8×	894 1.9×	626 1.6×	482 1.3×	149	4.0k
Hyun‐Chul Lee South Korea	35	506 0.8×	267 0.5×	763 1.6×	442 1.2×	197 0.5×	219	4.4k
Juan Wang China	38	1.2k 1.9×	408 0.7×	482 1.0×	594 1.6×	977 2.7×	219	5.2k
Yanping Ma China	41	1.1k 1.6×	2.3k 4.1×	942 2.0×	339 0.9×	291 0.8×	346	6.6k

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

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20 of 20 papers shown

Iyer, Kavita A., et al.. (2025). CRISPR Technology: Transforming the Future of Medicine and Diagnostics. Biochemistry. 64(24). 4628–4660.

Jain, Preeti, et al.. (2024). 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.

Jain, Preeti, et al.. (2023). Strategic role of casein coated iron oxide nano-particles for delivering nano nutrients for enhance soil quality and their potential. Materials Today Proceedings. 89. 96–105. 2 indexed citations

Jain, Preeti, et al.. (2022). A Reliable Protection Scheme for Smartgrid Based On Wavelet Transform and Ensemble Classifier. 1–9. 1 indexed citations

Jain, Preeti, et al.. (2021). The predictive value of depth of invasion and tumor size on risk of neck node metastasis in squamous cell carcinoma of the oral cavity. Journal of Cancer Research and Therapeutics. 18(4). 977–983. 8 indexed citations

Jain, Preeti, et al.. (2020). Behavioural and neuro-electrical correlates of cognitive performance in young mobile gamers of endless runner and match three genres. International Journal of Adolescent Medicine and Health. 34(3). 1 indexed citations

Jain, Preeti, et al.. (2016). Antioxidant and antimicrobial screening of Ciprofloxacin derivativeand its complexes. Der pharma chemica. 8(15). 38–45. 1 indexed citations

Jain, Preeti, et al.. (2016). Primary schwannoma of thyroid gland in an adolescent male: a rare case-report with review of literature. Annals of Pathology and Laboratory Medicine. 3(1).

Soni, Anjali, et al.. (2016). Phytochemical analysis of Mentha spicata plant extract using UV-VIS, FTIR and GC/MS technique. Journal of chemical and pharmaceutical research. 8(2). 1–6. 63 indexed citations

10.

Jain, Preeti, et al.. (2014). NAJAFGARH DRAIN-SAMPLING AND ANALYSIS. 3(10). 1–11. 2 indexed citations

11.

Bhawsar, Jeetendra, et al.. (2014). Computational Study of Corrosion Potential of Ciprofloxacin Drug: DFT Approach. Asian Journal of Research in Chemistry. 7(4). 386–389. 3 indexed citations

12.

Jain, Preeti, et al.. (2009). A Comparative Study of ISO 9001, CMMI and Six Sigma with Reference to Software Process Quality. Global Journal of Enterprise Information System. 1(1). 75–80. 2 indexed citations

13.

Jain, Preeti, et al.. (2009). Study of industrial effluent from Hindustan Phosphate Limited and its treatment with lime and alum.. Oriental Journal Of Chemistry. 25(2). 339–344. 1 indexed citations

14.

Jain, Preeti, et al.. (2006). Atomic absorption spectrometric determination of copper after adsorption of its sodiumdiethyldithiocarbamate complex on a new polymeric adsorbent. INDIAN JOURNAL OF CHEMISTRY- SECTION A. 45(2). 409–411. 2 indexed citations

15.

Jain, Preeti, et al.. (2005). Production of heptaene antifungal antibiotic by Streptomyces purpeofuscus CM 1261.. PubMed. 43(4). 342–5. 7 indexed citations

16.

Agrawal, Shivankar, et al.. (2004). Keratin degrading and enzyme production ability of fungi from soil. Indian Journal of Microbiology. 44(4). 261–264. 2 indexed citations

17.

Jain, Preeti, et al.. (2003). Effect of sodium citrate ingestion on oxygen debt & exercise endurance during supramaximal exercise.. PubMed. 118. 42–6. 4 indexed citations

18.

Arya, Sanjay, Meenakshi Mahajan, & Preeti Jain. (1998). A colorimetric method for ascorbic acid assay of pharmaceuticals. Chemia Analityczna. 43(2). 231–239. 2 indexed citations

19.

Joshi, Ravi, et al.. (1986). Polymyositis associated with overlap syndrome (a case report).. SHILAP Revista de lepidopterología.

20.

Jain, Preeti & Shivankar Agrawal. (1980). A note on the keratin decomposing capability of some fungi.. 21(4). 513–517. 12 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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