Kunal Jain

2.9k total citations · 1 hit paper
35 papers, 2.0k citations indexed

About

Kunal Jain is a scholar working on Pollution, Ecology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Kunal Jain has authored 35 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pollution, 12 papers in Ecology and 12 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Kunal Jain's work include Microbial Community Ecology and Physiology (11 papers), Microbial bioremediation and biosurfactants (11 papers) and Enzyme-mediated dye degradation (10 papers). Kunal Jain is often cited by papers focused on Microbial Community Ecology and Physiology (11 papers), Microbial bioremediation and biosurfactants (11 papers) and Enzyme-mediated dye degradation (10 papers). Kunal Jain collaborates with scholars based in India, France and United States. Kunal Jain's co-authors include Datta Madamwar, Chirayu Desai, Avani Bharatkumar Patel, Digantkumar Chapla, Nikhil Bhatt, Zeenat Khan, Bharat Patel, Chaitanya G. Joshi, Anand Patel and J. J. McCarthy and has published in prestigious journals such as The Science of The Total Environment, Journal of Hazardous Materials and Bioresource Technology.

In The Last Decade

Kunal Jain

34 papers receiving 1.9k citations

Hit Papers

Polycyclic Aromatic Hydrocarbons: Sources, Toxicity, and ... 2020 2026 2022 2024 2020 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Polycyclic Aromatic Hydrocarbons: Sources, Toxicity, and Remediation Approaches
    2020 831 citations Avani Bharatkumar Patel, Kunal Jain et al. Frontiers in Microbiology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kunal Jain India 20 996 748 428 306 305 35 2.0k
Zhu Tang China 23 540 0.5× 902 1.2× 367 0.9× 169 0.6× 237 0.8× 31 2.0k
Peijun Li China 32 796 0.8× 1.3k 1.8× 391 0.9× 315 1.0× 435 1.4× 93 3.0k
Namasivayam Vasudevan India 24 655 0.7× 1.1k 1.5× 193 0.5× 258 0.8× 258 0.8× 71 2.1k
Guoping Sun China 35 774 0.8× 1.1k 1.5× 630 1.5× 435 1.4× 439 1.4× 120 3.5k
Hai-Ming Zhao China 36 1.4k 1.4× 1.5k 2.0× 469 1.1× 342 1.1× 421 1.4× 98 3.4k
Hui Peng China 28 826 0.8× 1.1k 1.5× 189 0.4× 234 0.8× 242 0.8× 66 1.9k
Félix Gutiérrez‐Corona Mexico 14 809 0.8× 457 0.6× 250 0.6× 407 1.3× 290 1.0× 22 1.5k
Benoît Van Aken United States 23 493 0.5× 979 1.3× 670 1.6× 145 0.5× 347 1.1× 49 2.3k
Sufia K. Kazy India 26 542 0.5× 821 1.1× 164 0.4× 388 1.3× 268 0.9× 42 2.0k

Countries citing papers authored by Kunal Jain

Since Specialization
Citations

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

Fields of papers citing papers by Kunal Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunal Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Kunal Jain. A scholar is included among the top collaborators of Kunal Jain 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 Kunal Jain. Kunal Jain 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.
Johnson, Jenny, Kunal Jain, Anand Patel, et al.. (2023). Chronic industrial perturbation and seasonal change induces shift in the bacterial community from gammaproteobacteria to betaproteobacteria having catabolic potential for aromatic compounds at Amlakhadi canal. World Journal of Microbiology and Biotechnology. 40(2). 52–52. 2 indexed citations
2.
Jain, Kunal, et al.. (2022). Microbial community structure and functions during chronosequence-based phytoremediation programme of Lignite tailing soil. Environmental Technology & Innovation. 27. 102447–102447. 11 indexed citations
3.
Madamwar, Datta, Kunal Jain, Chirayu Desai, & Eric D. van Hullebusch. (2021). Advanced Bioremediation Technologies and Processes for the Treatment of Synthetic Organic Compounds (SOCs). Frontiers research topics. 1 indexed citations
4.
5.
Jain, Kunal, et al.. (2021). White Rann of Kachchh harbours distinct microbial diversity reflecting its unique biogeography. The Science of The Total Environment. 783. 147094–147094. 3 indexed citations
6.
Desai, Chirayu, Raj Boopathy, Kunal Jain, Datta Madamwar, & Eric D. van Hullebusch. (2021). Eco-Sustainable Bioremediation of Textile Dye Wastewaters: Innovative Microbial Treatment Technologies and Mechanistic Insights of Textile Dye Biodegradation. Frontiers research topics. 1 indexed citations
7.
Patel, Avani Bharatkumar, et al.. (2020). Polycyclic Aromatic Hydrocarbons: Sources, Toxicity, and Remediation Approaches. Frontiers in Microbiology. 11. 562813–562813. 831 indexed citations breakdown →
8.
Jain, Kunal, et al.. (2020). Feasibility of Fuel Synthesized from Solid Plastic Wastage. International Journal of Engineering and Advanced Technology. 9(3). 4165–4169. 2 indexed citations
9.
10.
Rastogi, Rajesh P., et al.. (2020). Degradation and Toxicity Analysis of a Reactive Textile Diazo Dye-Direct Red 81 by Newly Isolated Bacillus sp. DMS2. Frontiers in Microbiology. 11. 576680–576680. 41 indexed citations
11.
Jain, Kunal, et al.. (2019). Microaerophilic biodegradation of raw textile effluent by synergistic activity of bacterial community DR4. Journal of Environmental Management. 250. 109549–109549. 29 indexed citations
12.
Patel, Avani Bharatkumar, et al.. (2019). Synergistic biodegradation of phenanthrene and fluoranthene by mixed bacterial cultures. Bioresource Technology. 284. 115–120. 64 indexed citations
13.
Patel, Avani Bharatkumar, et al.. (2018). Development of mixed bacterial cultures DAK11 capable for degrading mixture of polycyclic aromatic hydrocarbons (PAHs). Bioresource Technology. 253. 288–296. 68 indexed citations
14.
Jain, Kunal, et al.. (2018). Degradation of Chrysene by Enriched Bacterial Consortium. Frontiers in Microbiology. 9. 1333–1333. 48 indexed citations
15.
16.
Jain, Kunal, et al.. (2016). Microaerophilic Symmetric Reductive Cleavage of Reactive Azo Dye—Remazole Brilliant Violet 5R by Consortium VIE6: Community Synergism. Applied Biochemistry and Biotechnology. 180(6). 1029–1042. 21 indexed citations
17.
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Khan, Zeenat, et al.. (2014). Microaerophilic degradation of sulphonated azo dye – Reactive Red 195 by bacterial consortium AR1 through co-metabolism. International Biodeterioration & Biodegradation. 94. 167–175. 79 indexed citations
19.
Jain, Kunal, et al.. (2014). Co-metabolic degradation of diazo dye—Reactive blue 160 by enriched mixed cultures BDN. Journal of Hazardous Materials. 279. 85–95. 59 indexed citations
20.

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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