Mahesh Dharne

2.5k total citations
96 papers, 1.8k citations indexed

About

Mahesh Dharne is a scholar working on Molecular Biology, Ecology and Biomedical Engineering. According to data from OpenAlex, Mahesh Dharne has authored 96 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 21 papers in Ecology and 20 papers in Biomedical Engineering. Recurrent topics in Mahesh Dharne's work include Microbial Community Ecology and Physiology (14 papers), Genomics and Phylogenetic Studies (12 papers) and Gut microbiota and health (11 papers). Mahesh Dharne is often cited by papers focused on Microbial Community Ecology and Physiology (14 papers), Genomics and Phylogenetic Studies (12 papers) and Gut microbiota and health (11 papers). Mahesh Dharne collaborates with scholars based in India, United States and United Kingdom. Mahesh Dharne's co-authors include Govinda R. Navale, Syed G. Dastager, Rachel Samson, Vinay Rajput, Gajanan T. Mehetre, Rakeshkumar Yadav, Yogesh S. Shouche, Sandip S. Shinde, Milind S. Patole and Gurdeep Rastogi and has published in prestigious journals such as The Science of The Total Environment, Bioresource Technology and Journal of Cleaner Production.

In The Last Decade

Mahesh Dharne

88 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mahesh Dharne India 24 755 375 360 227 208 96 1.8k
María Suárez‐Diez Netherlands 27 1.6k 2.1× 474 1.3× 330 0.9× 154 0.7× 265 1.3× 96 2.6k
Bin Zhu China 38 893 1.2× 256 0.7× 246 0.7× 282 1.2× 314 1.5× 129 3.2k
Elena Piacenza Italy 18 593 0.8× 376 1.0× 177 0.5× 200 0.9× 353 1.7× 34 2.1k
О. N. Ilinskaya Russia 26 1.3k 1.8× 205 0.5× 410 1.1× 118 0.5× 205 1.0× 163 2.3k
Kazuhiko Miyanaga Japan 26 631 0.8× 196 0.5× 1.0k 2.8× 269 1.2× 114 0.5× 97 2.0k
Henrique Ferreira Brazil 19 790 1.0× 369 1.0× 274 0.8× 167 0.7× 355 1.7× 78 2.6k
Yanan Wang China 27 675 0.9× 180 0.5× 262 0.7× 443 2.0× 239 1.1× 133 2.4k
Daniela Zühlke Germany 23 1.1k 1.4× 217 0.6× 434 1.2× 73 0.3× 176 0.8× 55 2.0k
Lee A. Beaudette Canada 19 688 0.9× 268 0.7× 589 1.6× 584 2.6× 190 0.9× 34 2.2k

Countries citing papers authored by Mahesh Dharne

Since Specialization
Citations

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

Fields of papers citing papers by Mahesh Dharne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahesh Dharne

This figure shows the co-authorship network connecting the top 25 collaborators of Mahesh Dharne. A scholar is included among the top collaborators of Mahesh Dharne 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 Mahesh Dharne. Mahesh Dharne 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
3.
Rajput, Vinay, Deepak Kumar Rathore, Sanjay P. Kamble, et al.. (2025). Deciphering the antimicrobial resistomes and microbiome landscape of open drain wastewater using metagenomics in a progressive Indian state. Environmental Research. 288(Pt 2). 123287–123287.
4.
Kaari, Manigundan, M Radhakrishnan, Vinay Rajput, et al.. (2024). Integrated genomic and functional analysis of Streptomyces sp. UP1A-1 for bacterial wilt control and solanaceae yield increase. Gene Reports. 37. 102012–102012.
6.
Dharne, Mahesh, et al.. (2023). Sustainable and cleaner production of poly-gamma-glutamic acid (γ-PGA) biopolymer using floral waste and its anti-staling properties. Journal of Cleaner Production. 425. 138709–138709. 6 indexed citations
7.
Samson, Rachel, Vinay Rajput, Rakeshkumar Yadav, et al.. (2023). Spatio-temporal variation of the microbiome and resistome repertoire along an anthropogenically dynamic segment of the Ganges River, India. The Science of The Total Environment. 872. 162125–162125. 19 indexed citations
8.
Nimbalkar, Pranhita R. & Mahesh Dharne. (2023). A review on microbial 1, 3-propanediol production: Emerging strategies, key hurdles and attainable solutions to re-establish its commercial interest. Industrial Crops and Products. 209. 117961–117961. 16 indexed citations
9.
Rajput, Vinay, Rachel Samson, Rakeshkumar Yadav, et al.. (2022). Metagenomic mining of Indian river confluence reveal functional microbial community with lignocelluloytic potential. 3 Biotech. 12(6). 132–132. 4 indexed citations
10.
Samson, Rachel, Govinda R. Navale, & Mahesh Dharne. (2020). Biosensors: frontiers in rapid detection of COVID-19. 3 Biotech. 10(9). 385–385. 144 indexed citations
11.
Navale, Govinda R., et al.. (2019). Enhancing epi‐cedrol production in Escherichia coli by fusion expression of farnesyl pyrophosphate synthase and epi‐cedrol synthase. Engineering in Life Sciences. 19(9). 606–616. 9 indexed citations
12.
Mehetre, Gajanan T., et al.. (2018). Untapped bacterial diversity and metabolic potential within Unkeshwar hot springs, India. Archives of Microbiology. 200(5). 753–770. 22 indexed citations
13.
Dastager, Syed G., et al.. (2016). Peeping into genomic architecture by re-sequencing of Ochrobactrum intermedium M86 strain during laboratory adapted conditions. Genomics Data. 8. 72–76. 2 indexed citations
14.
Ganesh, Madhu, et al.. (2015). Detection of Clostridium tetani in human clinical samples using tetX specific primers targeting the neurotoxin. Journal of Infection and Public Health. 9(1). 105–109. 7 indexed citations
15.
Kulkarni, Girish, Dhiraj Dhotre, Mahesh Dharne, et al.. (2013). Draft genome of Ochrobactrum intermedium strain M86 isolated from non-ulcer dyspeptic individual from India. Gut Pathogens. 5(1). 7–7. 12 indexed citations
16.
Bhagwat, Arvind A., et al.. (2012). Role of Anionic Charges of Periplasmic Glucans of Shigella flexneri in Overcoming Detergent Stress. Foodborne Pathogens and Disease. 9(7). 632–637. 5 indexed citations
17.
Bhagwat, Arvind A., et al.. (2012). Role of anionic charges of osmoregulated periplasmic glucans of Salmonella enterica serovar Typhimurium SL1344 in mice virulence. Archives of Microbiology. 194(6). 541–548. 3 indexed citations
18.
Rastogi, Gurdeep, Mahesh Dharne, Sandeep A. Walujkar, et al.. (2007). Species identification and authentication of tissues of animal origin using mitochondrial and nuclear markers. Meat Science. 76(4). 666–674. 74 indexed citations
19.
Dharne, Mahesh, Milind S. Patole, & Yogesh S. Shouche. (2006). Microbiology of the insect gut: tales from mosquitoes and bees. Journal of Biosciences. 31(3). 293–295. 16 indexed citations
20.
Rastogi, Gurdeep, et al.. (2004). Species determination and authentication of meat samples by mitochondrial 12S rRNA gene sequence analysis and conformation- sensitive gel electrophoresis. Current Science. 87(9). 1278–1281. 23 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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