Shekhar B. Jadhav

778 total citations
16 papers, 627 citations indexed

About

Shekhar B. Jadhav is a scholar working on Plant Science, Health, Toxicology and Mutagenesis and Molecular Biology. According to data from OpenAlex, Shekhar B. Jadhav has authored 16 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 7 papers in Health, Toxicology and Mutagenesis and 5 papers in Molecular Biology. Recurrent topics in Shekhar B. Jadhav's work include Enzyme-mediated dye degradation (9 papers), Chromium effects and bioremediation (7 papers) and Microbial Metabolism and Applications (3 papers). Shekhar B. Jadhav is often cited by papers focused on Enzyme-mediated dye degradation (9 papers), Chromium effects and bioremediation (7 papers) and Microbial Metabolism and Applications (3 papers). Shekhar B. Jadhav collaborates with scholars based in India, South Korea and Portugal. Shekhar B. Jadhav's co-authors include Swapnil S. Phugare, Jyoti P. Jadhav, Jyoti P. Jadhav, Shripad N. Surwase, Rhishikesh S. Dhanve, Sanjay P. Govindwar, Pramod S. Patil, Jyoti P. Jadhav, Shouvik Saha and Byong‐Hun Jeon and has published in prestigious journals such as Journal of Hazardous Materials, Journal of Cleaner Production and Environmental Science and Pollution Research.

In The Last Decade

Shekhar B. Jadhav

16 papers receiving 601 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shekhar B. Jadhav India 13 300 199 166 108 101 16 627
Nikhil Bhatt India 12 359 1.2× 288 1.4× 186 1.1× 94 0.9× 176 1.7× 23 635
Qingxiang Yang China 12 304 1.0× 176 0.9× 154 0.9× 91 0.8× 88 0.9× 16 597
Estelle Enaud Belgium 12 387 1.3× 248 1.2× 102 0.6× 170 1.6× 65 0.6× 14 776
Ali Ünyayar Türkiye 13 417 1.4× 225 1.1× 97 0.6× 82 0.8× 61 0.6× 26 652
Dalel Daâssi Tunisia 13 428 1.4× 230 1.2× 124 0.7× 136 1.3× 97 1.0× 20 784
Eltaief Khelifi Tunisia 13 251 0.8× 119 0.6× 111 0.7× 67 0.6× 75 0.7× 17 512
Anuradha N. Kagalkar India 13 506 1.7× 235 1.2× 207 1.2× 77 0.7× 78 0.8× 16 732
Daizong Cui China 14 333 1.1× 181 0.9× 134 0.8× 77 0.7× 84 0.8× 38 604
Wafaa M. Abd El‐Rahim Egypt 15 337 1.1× 145 0.7× 142 0.9× 64 0.6× 49 0.5× 34 564
Herminia I. Pérez Mexico 10 338 1.1× 159 0.8× 131 0.8× 151 1.4× 133 1.3× 29 844

Countries citing papers authored by Shekhar B. Jadhav

Since Specialization
Citations

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

Fields of papers citing papers by Shekhar B. Jadhav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shekhar B. Jadhav. 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 Shekhar B. Jadhav. The network helps show where Shekhar B. Jadhav may publish in the future.

Co-authorship network of co-authors of Shekhar B. Jadhav

This figure shows the co-authorship network connecting the top 25 collaborators of Shekhar B. Jadhav. A scholar is included among the top collaborators of Shekhar B. Jadhav 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 Shekhar B. Jadhav. Shekhar B. Jadhav is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Jadhav, Shekhar B., et al.. (2025). Antibiofilm potential of silver nanoparticles from Mussaenda philippica mediated via reduction in AHLs activity against uropathogenic Klebsiella pneumoniae. South African Journal of Botany. 181. 537–548. 1 indexed citations
2.
Saha, Shouvik, Byong‐Hun Jeon, Mayur B. Kurade, et al.. (2018). Optimization of dilute acetic acid pretreatment of mixed fruit waste for increased methane production. Journal of Cleaner Production. 190. 411–421. 67 indexed citations
3.
Jadhav, Shekhar B., et al.. (2014). Microbial Degradation and Detoxification of Synthetic Dye Mixture by Pseudomonas sp. SUK 1. Proceedings of the National Academy of Sciences India Section B Biological Sciences. 84(4). 1059–1068. 6 indexed citations
4.
Jadhav, Shekhar B., et al.. (2014). Application of response surface methodology for the optimization of textile effluent biodecolorization and its toxicity perspectives using plant toxicity, plasmid nicking assays. Clean Technologies and Environmental Policy. 17(3). 709–720. 33 indexed citations
5.
Surwase, Shripad N., et al.. (2013). Optimization of Biotransformation of l-Tyrosine to l-DOPA by Yarrowia lipolytica-NCIM 3472 Using Response Surface Methodology. Indian Journal of Microbiology. 53(2). 194–198. 5 indexed citations
6.
Surwase, Shripad N., et al.. (2013). Optimization of medium using response surface methodology for l-DOPA production by Pseudomonas sp. SSA. Biochemical Engineering Journal. 74. 36–45. 23 indexed citations
7.
Surwase, Shripad N., et al.. (2013). Statistically optimized biotransformation protocol for continuous production of L-DOPA using Mucuna monosperma callus culture. SpringerPlus. 2(1). 570–570. 16 indexed citations
8.
Surwase, Shripad N., Shekhar B. Jadhav, Swapnil S. Phugare, & Jyoti P. Jadhav. (2012). Optimization of melanin production by Brevundimonas sp. SGJ using response surface methodology. 3 Biotech. 3(3). 187–194. 54 indexed citations
9.
Surwase, Shripad N., et al.. (2012). Optimization of l ‐ DOPA production by B revundimonas sp. SGJ using response surface methodology. Microbial Biotechnology. 5(6). 731–737. 32 indexed citations
10.
Jadhav, Shekhar B., Shripad N. Surwase, Dayanand C. Kalyani, Ranjit Gurav, & Jyoti P. Jadhav. (2012). Biodecolorization of Azo Dye Remazol Orange by Pseudomonas aeruginosa BCH and Toxicity (Oxidative Stress) Reduction in Allium cepa Root Cells. Applied Biochemistry and Biotechnology. 168(5). 1319–1334. 18 indexed citations
11.
Jadhav, Shekhar B., et al.. (2012). Batch and continuous biodegradation of Amaranth in plain distilled water by P. aeruginosa BCH and toxicological scrutiny using oxidative stress studies. Environmental Science and Pollution Research. 20(5). 2854–2866. 21 indexed citations
12.
Jadhav, Shekhar B., et al.. (2012). Biodegradation Studies on Acid Violet 19, a Triphenylmethane Dye, by Pseudomonas aeruginosa BCH. CLEAN - Soil Air Water. 40(5). 551–558. 17 indexed citations
13.
Tamboli, Dhawal P., Amar A. Telke, Vishal V. Dawkar, Shekhar B. Jadhav, & Sanjay P. Govindwar. (2011). Purification and characterization of bacterial aryl alcohol oxidase from Sphingobacterium sp. ATM and its uses in textile dye decolorization. Biotechnology and Bioprocess Engineering. 16(4). 661–668. 21 indexed citations
14.
Jadhav, Shekhar B., et al.. (2011). Biochemical degradation pathway of textile dye Remazol red and subsequent toxicological evaluation by cytotoxicity, genotoxicity and oxidative stress studies. International Biodeterioration & Biodegradation. 65(6). 733–743. 137 indexed citations
15.
Patil, Pramod S., Swapnil S. Phugare, Shekhar B. Jadhav, & Jyoti P. Jadhav. (2010). Communal action of microbial cultures for Red HE3B degradation. Journal of Hazardous Materials. 181(1-3). 263–270. 53 indexed citations
16.
Jadhav, Jyoti P., Swapnil S. Phugare, Rhishikesh S. Dhanve, & Shekhar B. Jadhav. (2009). Rapid biodegradation and decolorization of Direct Orange 39 (Orange TGLL) by an isolated bacterium Pseudomonas aeruginosa strain BCH. Biodegradation. 21(3). 453–463. 123 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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