Pranita Jaiswal

2.6k total citations
66 papers, 2.0k citations indexed

About

Pranita Jaiswal is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Analytical Chemistry. According to data from OpenAlex, Pranita Jaiswal has authored 66 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Plant Science, 16 papers in Ecology, Evolution, Behavior and Systematics and 16 papers in Analytical Chemistry. Recurrent topics in Pranita Jaiswal's work include Spectroscopy and Chemometric Analyses (15 papers), Biocrusts and Microbial Ecology (15 papers) and Algal biology and biofuel production (14 papers). Pranita Jaiswal is often cited by papers focused on Spectroscopy and Chemometric Analyses (15 papers), Biocrusts and Microbial Ecology (15 papers) and Algal biology and biofuel production (14 papers). Pranita Jaiswal collaborates with scholars based in India, United States and Egypt. Pranita Jaiswal's co-authors include Shyam Narayan Jha, Radha Prasanna, Rishi Bhardwaj, K. Narsaiah, B. D. Kaushik, Anjan Borah, Rajiv Sharma, Ramesh Kumar, Manpreet Kaur Grewal and Ashish Kumar Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and Trends in Food Science & Technology.

In The Last Decade

Pranita Jaiswal

61 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pranita Jaiswal India 27 578 563 440 414 401 66 2.0k
J.J. Jiménez Spain 32 753 1.3× 268 0.5× 228 0.5× 467 1.1× 967 2.4× 97 3.2k
Emilia Ferrer Spain 32 267 0.5× 1.6k 2.8× 570 1.3× 153 0.4× 837 2.1× 104 3.1k
Houda Berrada Spain 34 344 0.6× 1.7k 3.0× 636 1.4× 193 0.5× 1.0k 2.6× 106 3.0k
Liliana J.G. Silva Portugal 26 307 0.5× 474 0.8× 170 0.4× 141 0.3× 171 0.4× 59 1.9k
E. Anklam Italy 24 306 0.5× 560 1.0× 428 1.0× 363 0.9× 1.1k 2.7× 43 2.6k
Natalia Arroyo‐Manzanares Spain 29 605 1.0× 1.1k 1.9× 466 1.1× 528 1.3× 724 1.8× 119 2.7k
Jun Dai China 30 163 0.3× 742 1.3× 1.4k 3.3× 304 0.7× 522 1.3× 143 2.7k
Dalal Asker Egypt 25 108 0.2× 302 0.5× 872 2.0× 217 0.5× 645 1.6× 47 2.3k
Igor Jerković Croatia 35 141 0.2× 1.0k 1.8× 750 1.7× 313 0.8× 2.1k 5.3× 201 4.4k
José Humberto de Queiróz Brazil 27 547 0.9× 1.1k 2.0× 466 1.1× 482 1.2× 855 2.1× 158 3.2k

Countries citing papers authored by Pranita Jaiswal

Since Specialization
Citations

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

Fields of papers citing papers by Pranita Jaiswal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pranita Jaiswal

This figure shows the co-authorship network connecting the top 25 collaborators of Pranita Jaiswal. A scholar is included among the top collaborators of Pranita Jaiswal 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 Pranita Jaiswal. Pranita Jaiswal 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
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Behl, Kannikka, Pranita Jaiswal, & Sunil Pabbi. (2024). Recent advances in microbial and nano-formulations for effective delivery and agriculture sustainability. Biocatalysis and Agricultural Biotechnology. 58. 103180–103180. 17 indexed citations
3.
Kumari, Leena, Pranita Jaiswal, & S. Swarupa Tripathy. (2021). Various techniques useful for determination of adulterants in valuable saffron: A review. Trends in Food Science & Technology. 111. 301–321. 47 indexed citations
4.
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SINGH, Y V, et al.. (2020). Influence of crop establishment and microbial inoculants on profitability and nutrient concentrations of summer greengram (Vigna radiata). The Indian Journal of Agricultural Sciences. 90(7). 1348–1351. 8 indexed citations
6.
Supriya, Supriya, et al.. (2019). Knowledge regarding Water Borne Diseases and its Prevention. Asian Journal of Nursing Education and Research. 9(4). 501–501. 3 indexed citations
7.
Upadhyay, Neelam, Pranita Jaiswal, & Shyam Narayan Jha. (2017). Application of attenuated total reflectance Fourier Transform Infrared spectroscopy (ATR–FTIR) in MIR range coupled with chemometrics for detection of pig body fat in pure ghee (heat clarified milk fat). Journal of Molecular Structure. 1153. 275–281. 45 indexed citations
8.
Kumar, Yogesh, Sangita Bansal, & Pranita Jaiswal. (2017). Loop‐Mediated Isothermal Amplification (LAMP): A Rapid and Sensitive Tool for Quality Assessment of Meat Products. Comprehensive Reviews in Food Science and Food Safety. 16(6). 1359–1378. 52 indexed citations
9.
Devatkal, Suresh, Pranita Jaiswal, Amanpreet Kaur, & Vijay K. Juneja. (2015). Inactivation ofBacillus cereusandSalmonella enterica serovar typhimuriumby Aqueous Ozone: Modeling and UV-Vis Spectroscopic Analysis. Ozone Science and Engineering. 38(2). 124–132. 7 indexed citations
10.
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Jaiswal, Pranita, Shyam Narayan Jha, K. Narsaiah, & Rishi Bhardwaj. (2014). Rapid Prediction of Microbial Load on Intact Mango Surface Using Spectroscopy. Journal of Agricultural Engineering (India). 51(2). 19–28. 4 indexed citations
12.
Grewal, Manpreet Kaur, Shyam Narayan Jha, R. T. Patil, et al.. (2013). A less energy intensive process for dehydrating onion. Journal of Food Science and Technology. 52(2). 1131–1137. 8 indexed citations
13.
Prasanna, Radha, Pranita Jaiswal, Monica Joshi, et al.. (2012). Evaluating the potential of rhizo-cyanobacteria as inoculants for rice and wheat. International Journal of Agricultural Technology. 8(1). 157–171. 6 indexed citations
14.
Jha, Shyam Narayan, et al.. (2012). Non-destructive prediction of sweetness of intact mango using near infrared spectroscopy. Scientia Horticulturae. 138. 171–175. 78 indexed citations
15.
Jaiswal, Pranita, et al.. (2012). Prediction of textural attributes using color values of banana (Musa sapientum) during ripening. Journal of Food Science and Technology. 51(6). 1179–1184. 47 indexed citations
16.
Jha, Shyam Narayan, K. Narsaiah, Rajiv Sharma, et al.. (2011). Measurement techniques and application of electrical properties for nondestructive quality evaluation of foods—a review. Journal of Food Science and Technology. 48(4). 387–411. 213 indexed citations
17.
Karthikeyan, N., Radha Prasanna, A. Sood, et al.. (2009). Physiological characterization and electron microscopic investigation of cyanobacteria associated with wheat rhizosphere. Folia Microbiologica. 54(1). 43–51. 82 indexed citations
18.
Jaiswal, Pranita, et al.. (2008). Characterization of rhizo-cyanobacteria and their associations with wheat seedlings. 10(1). 16 indexed citations
19.
Venugopal, V., Radha Prasanna, A. Sood, Pranita Jaiswal, & B. D. Kaushik. (2006). Stimulation of pigment accumulation inAnabaena azollae strains: Effect of light intensity and sugars. Folia Microbiologica. 51(1). 50–56. 23 indexed citations
20.
Jaiswal, Pranita, et al.. (2003). Fatty acid composition of some minor seed oils from arid zone of Rajasthan. Zenodo (CERN European Organization for Nuclear Research). 4 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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