Arun Banpurkar

3.3k total citations
87 papers, 2.5k citations indexed

About

Arun Banpurkar is a scholar working on Biomedical Engineering, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Arun Banpurkar has authored 87 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Biomedical Engineering, 29 papers in Materials Chemistry and 25 papers in Electrical and Electronic Engineering. Recurrent topics in Arun Banpurkar's work include Electrowetting and Microfluidic Technologies (14 papers), ZnO doping and properties (13 papers) and Microbial bioremediation and biosurfactants (12 papers). Arun Banpurkar is often cited by papers focused on Electrowetting and Microfluidic Technologies (14 papers), ZnO doping and properties (13 papers) and Microbial bioremediation and biosurfactants (12 papers). Arun Banpurkar collaborates with scholars based in India, United States and Netherlands. Arun Banpurkar's co-authors include Surekha Satpute, İbrahim M. Banat, Prashant K. Dhakephalkar, Balu A. Chopade, Davoud Dastan, Satishchandra Ogale, Frieder Mugele, Onkar S. Game, Dirk van den Ende and Nishigandha Mone and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Arun Banpurkar

84 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arun Banpurkar India 26 728 701 661 626 469 87 2.5k
Lingyan Jiang China 25 236 0.3× 1.5k 2.2× 674 1.0× 356 0.6× 391 0.8× 97 3.0k
Chantal Compère France 28 244 0.3× 478 0.7× 623 0.9× 531 0.8× 598 1.3× 72 2.3k
Yajie Guo China 32 376 0.5× 635 0.9× 785 1.2× 283 0.5× 445 0.9× 163 3.3k
Moshe Herzberg Israel 39 835 1.1× 612 0.9× 856 1.3× 2.5k 4.0× 1.0k 2.2× 92 5.4k
Jianjun Yang China 30 284 0.4× 187 0.3× 688 1.0× 337 0.5× 369 0.8× 125 2.5k
Wei Bing China 29 298 0.4× 294 0.4× 1.5k 2.2× 872 1.4× 585 1.2× 104 3.3k
Satoshi Kimura Japan 38 323 0.4× 182 0.3× 532 0.8× 1.8k 2.8× 936 2.0× 178 5.8k
Bhuvnesh Bharti United States 31 350 0.5× 249 0.4× 1.2k 1.7× 1.5k 2.3× 328 0.7× 77 3.3k
Botao Zhang China 35 219 0.3× 548 0.8× 654 1.0× 577 0.9× 2.1k 4.5× 135 5.1k
Chunhui Gao China 36 225 0.3× 1.9k 2.7× 488 0.7× 248 0.4× 819 1.7× 122 3.8k

Countries citing papers authored by Arun Banpurkar

Since Specialization
Citations

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

Fields of papers citing papers by Arun Banpurkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arun Banpurkar

This figure shows the co-authorship network connecting the top 25 collaborators of Arun Banpurkar. A scholar is included among the top collaborators of Arun Banpurkar 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 Arun Banpurkar. Arun Banpurkar 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.
Banpurkar, Arun, et al.. (2024). Escherichia coli and Staphylococcus aureus response to sinusoidal mechanical vibrations. SHILAP Revista de lepidopterología. 6. 100218–100218. 1 indexed citations
2.
Dhole, S.D., et al.. (2024). Conformational changes in 6 MeV electron beam irradiated aqueous bovine serum albumin. Biochimica et Biophysica Acta (BBA) - General Subjects. 1869(2). 130744–130744.
3.
Banpurkar, Arun, et al.. (2024). Impact of oxygen vacancy on luminescence properties of dysprosium-doped zinc oxide thin films. Journal of Applied Physics. 136(2). 4 indexed citations
4.
Ganguly, Prasun, et al.. (2024). Improvement of optical properties and memory effect in ferroelectric liquid crystal by incorporating core/shell CoFe2O4/ZnO nanocrystals. Journal of Materials Science Materials in Electronics. 35(5). 3 indexed citations
5.
Kumar, Ajay, et al.. (2024). Recent advances of core–shell nanocrystals dispersed liquid crystal nanocomposites for their applications in electronic devices: A mini review. Journal of Molecular Liquids. 416. 126469–126469. 1 indexed citations
6.
Banpurkar, Arun, et al.. (2023). Adequate UV photoemission from Ga2O3/ZnO/Ga2O3 thin film epistructures. Optical Materials. 144. 114290–114290. 1 indexed citations
7.
8.
Banpurkar, Arun, et al.. (2022). Polymethyl methacrylate (PMMA)/fluoropolymer bilayer: a promising dielectric for electrowetting applications. Journal of Materials Science. 57(19). 9018–9027. 8 indexed citations
9.
Joshi, Bhawana, et al.. (2021). Luminescent behavior of pulsed laser deposited Pr doped ZnO thin films. Physica B Condensed Matter. 618. 413202–413202. 5 indexed citations
10.
Limaye, A. V., et al.. (2021). Large tuning in the electrowetting behaviour on ferroelectric PVDF-HFP/Teflon AF bilayer. Journal of Materials Science. 56(28). 16158–16166. 6 indexed citations
11.
Limaye, A. V., et al.. (2020). CONTACT PROCESS ON FRACTAL CLUSTERS SIMULATED BY GENERALIZED DIFFUSION-LIMITED AGGREGATION (g-DLA) MODEL. Fractals. 28(7). 2050137–2050137. 1 indexed citations
12.
Banpurkar, Arun, et al.. (2019). Electrowetting behaviour of thermostable liquid over wide temperature range. Journal of Materials Science. 55(6). 2365–2371. 7 indexed citations
13.
Suryavanshi, Mangesh, et al.. (2019). Genomic Insights of Halophilic Planococcus maritimus SAMP MCC 3013 and Detail Investigation of Its Biosurfactant Production. Frontiers in Microbiology. 10. 235–235. 24 indexed citations
14.
Satpute, Surekha, et al.. (2019). Inhibition of pathogenic bacterial biofilms on PDMS based implants by L. acidophilus derived biosurfactant. BMC Microbiology. 19(1). 39–39. 66 indexed citations
15.
Banpurkar, Arun, et al.. (2016). Why patchy diffusion-limited aggregation belongs to the directed-percolation universality class. Physical review. E. 94(6). 62108–62108. 3 indexed citations
16.
Patil, Rajendra, et al.. (2014). Quantum dots conjugated zinc oxide nanosheets: Impeder of microbial growth and biofilm. Applied Surface Science. 326. 73–81. 5 indexed citations
17.
Ruiter, Riëlle de, et al.. (2012). Use of electrowetting to measure dynamic interfacial tensions of a microdrop. Lab on a Chip. 12(16). 2832–2832. 9 indexed citations
18.
Satpute, Surekha, et al.. (2011). Study of Functional Properties of Sapindus mukorossi as a Potential Bio-surfactant. Indian Journal of Science and Technology. 4(5). 530–533. 18 indexed citations
19.
Bankar, D., Prashant M. Gade, A. V. Limaye, & Arun Banpurkar. (2007). Segregation of fractal aggregates grown from two seeds. Physical Review E. 75(5). 51401–51401. 3 indexed citations
20.
Sastry, Murali, Anand Gole, Arun Banpurkar, A. V. Limaye, & S. B. Ogale. (2001). Variation in viscous fingering pattern morphology due to surfactant-mediated interfacial recognition events. Current Science. 81(2). 191–193. 13 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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