Pankaj K. Pawar

693 total citations
26 papers, 495 citations indexed

About

Pankaj K. Pawar is a scholar working on Plant Science, Molecular Biology and Biotechnology. According to data from OpenAlex, Pankaj K. Pawar has authored 26 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 9 papers in Molecular Biology and 5 papers in Biotechnology. Recurrent topics in Pankaj K. Pawar's work include Insect Resistance and Genetics (6 papers), Enzyme-mediated dye degradation (4 papers) and Insect Pest Control Strategies (3 papers). Pankaj K. Pawar is often cited by papers focused on Insect Resistance and Genetics (6 papers), Enzyme-mediated dye degradation (4 papers) and Insect Pest Control Strategies (3 papers). Pankaj K. Pawar collaborates with scholars based in India, Australia and South Korea. Pankaj K. Pawar's co-authors include Rahul V. Khandare, Sanjay P. Govindwar, Anuprita D. Watharkar, Niraj R. Rane, P. K. Ranjekar, Vishal V. Chandanshive, Sourav Mukherjee, Anant Paradkar, Vijay L. Maheshwari and Kakasaheb Mahadik and has published in prestigious journals such as Water Research, Scientific Reports and International Journal of Biological Macromolecules.

In The Last Decade

Pankaj K. Pawar

24 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pankaj K. Pawar India 13 144 99 68 64 52 26 495
Palanisamy Prakash India 11 118 0.8× 112 1.1× 41 0.6× 170 2.7× 20 0.4× 46 602
Chetan Aware India 11 105 0.7× 95 1.0× 60 0.9× 56 0.9× 35 0.7× 22 496
Afife Güvenç Türkiye 13 145 1.0× 255 2.6× 63 0.9× 25 0.4× 29 0.6× 27 578
Thi Hanh Nguyen Vietnam 11 61 0.4× 91 0.9× 22 0.3× 71 1.1× 84 1.6× 35 397
Suresh S. Suryawanshi India 11 69 0.5× 72 0.7× 33 0.5× 118 1.8× 23 0.4× 21 394
Jianya Ling China 18 149 1.0× 255 2.6× 59 0.9× 22 0.3× 29 0.6× 48 774
Ravishankar Chauhan India 7 102 0.7× 88 0.9× 35 0.5× 48 0.8× 15 0.3× 15 308
Daniel Castañeda‐Valbuena Mexico 11 70 0.5× 282 2.8× 39 0.6× 32 0.5× 72 1.4× 17 515
Benyin Zhang China 13 77 0.5× 135 1.4× 26 0.4× 52 0.8× 27 0.5× 34 373

Countries citing papers authored by Pankaj K. Pawar

Since Specialization
Citations

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

Fields of papers citing papers by Pankaj K. Pawar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pankaj K. Pawar. 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 Pankaj K. Pawar. The network helps show where Pankaj K. Pawar may publish in the future.

Co-authorship network of co-authors of Pankaj K. Pawar

This figure shows the co-authorship network connecting the top 25 collaborators of Pankaj K. Pawar. A scholar is included among the top collaborators of Pankaj K. Pawar 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 Pankaj K. Pawar. Pankaj K. Pawar 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.
Deshpande, Neha, et al.. (2025). A novel bifunctional inhibitor of protease and α-amylase from Clitorea ternatea restricts the growth and development in Spodoptera frugiperda. International Journal of Biological Macromolecules. 305(Pt 2). 141180–141180. 1 indexed citations
2.
3.
Sarvalkar, Prashant D., Pankaj K. Pawar, Jyotiprakash B. Yadav, et al.. (2024). Biogenic synthesis of Co3O4 nanoparticles from Aloe barbadensis extract: Antioxidant and antimicrobial activities, and photocatalytic degradation of azo dyes. Results in Engineering. 22. 102094–102094. 44 indexed citations
4.
Pawar, Pankaj K., et al.. (2024). Dual intervention of Boeravinone B and Chebulinic Acid mitigates BHT-Induced toxicity in HepG2 cells: modulating apoptosis and autophagy. Scientific Reports. 14(1). 29595–29595. 1 indexed citations
5.
6.
Rane, Niraj R., et al.. (2021). Characterization of a Bowman–Birk type trypsin inhibitor purified from seeds of Solanum surattense. Scientific Reports. 11(1). 8648–8648. 12 indexed citations
7.
Dongale, Tukaram D., Swapnil R. Patil, Arpita Tiwari, et al.. (2021). Synaptic learning functionalities of inverse biomemristive device based on trypsin for artificial intelligence application. Journal of Materials Research and Technology. 11. 1100–1110. 36 indexed citations
8.
Maheshwari, Vijay L., et al.. (2020). Effect of α-amylase inhibitor from Withania somnifera on growth and development of Callosobruchus chinensis and in silico studies on its interactions with insect amylase. Archives of Phytopathology and Plant Protection. 54(5-6). 231–251. 1 indexed citations
9.
Pawar, Pankaj K.. (2020). Synthesis and Characterization of Calcium Oxide Nanoparticles for Biological Antioxidant Activity. International Journal For Multidisciplinary Research. 2(6).
10.
Tamboli, Asif S., et al.. (2018). Chebulinic acid and Boeravinone B act as anti-aging and anti-apoptosis phyto-molecules during oxidative stress. Mitochondrion. 46. 236–246. 20 indexed citations
11.
Khandare, Rahul V., et al.. (2017). Phytoremediation of fluoride with garden ornamentals Nerium oleander, Portulaca oleracea, and Pogonatherum crinitum. Environmental Science and Pollution Research. 24(7). 6833–6839. 29 indexed citations
12.
Bhide, Amey J., Pankaj K. Pawar, Vijay L. Maheshwari, et al.. (2017). Genomic and functional characterization of coleopteran insect-specific α-amylase inhibitor gene from Amaranthus species. Plant Molecular Biology. 94(3). 319–332. 15 indexed citations
13.
Tamboli, Asif S., et al.. (2017). Phytoextracts protect Saccharomyces cerevisiae from oxidative stress with simultaneous enhancement in bioremediation efficacy. 2 indexed citations
14.
Patil, Swapnil M., et al.. (2016). Comprehensive investigation of free radical quenching potential, total phenol, flavonoid and saponin content, and chemical profiles of twelve Chlorophytum Ker Gawl. species. Indian Journal of Natural Products and Resources. 7(2). 125–134. 3 indexed citations
15.
Rane, Niraj R., et al.. (2016). Herbal augmentation enhances malachite green biodegradation efficacy of Saccharomyces cerevisiae. Biologia. 71(5). 475–483. 9 indexed citations
16.
17.
Bhide, Amey J., et al.. (2016). Characterization of two coleopteran α-amylases and molecular insights into their differential inhibition by synthetic α-amylase inhibitor, acarbose. Insect Biochemistry and Molecular Biology. 74. 1–11. 20 indexed citations
18.
Rane, Niraj R., Vishal V. Chandanshive, Anuprita D. Watharkar, et al.. (2015). Phytoremediation of sulfonated Remazol Red dye and textile effluents by Alternanthera philoxeroides: An anatomical, enzymatic and pilot scale study. Water Research. 83. 271–281. 77 indexed citations
19.
Mukherjee, Sourav, et al.. (2011). Evaluation of free-radical quenching properties of standard Ayurvedic formulation Vayasthapana Rasayana. BMC Complementary and Alternative Medicine. 11(1). 38–38. 63 indexed citations
20.
Pawar, Pankaj K., Suresh Jagtap, Anant Paradkar, et al.. (2011). Rectal gel application of Withania somnifera root extract expounds anti-inflammatory and muco-restorative activity in TNBS-induced Inflammatory Bowel Disease. BMC Complementary and Alternative Medicine. 11(1). 34–34. 67 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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