Suyog N. Jain

895 total citations
20 papers, 731 citations indexed

About

Suyog N. Jain is a scholar working on Water Science and Technology, Analytical Chemistry and Organic Chemistry. According to data from OpenAlex, Suyog N. Jain has authored 20 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Water Science and Technology, 9 papers in Analytical Chemistry and 5 papers in Organic Chemistry. Recurrent topics in Suyog N. Jain's work include Adsorption and biosorption for pollutant removal (14 papers), Dye analysis and toxicity (9 papers) and Nanomaterials for catalytic reactions (5 papers). Suyog N. Jain is often cited by papers focused on Adsorption and biosorption for pollutant removal (14 papers), Dye analysis and toxicity (9 papers) and Nanomaterials for catalytic reactions (5 papers). Suyog N. Jain collaborates with scholars based in India and Saudi Arabia. Suyog N. Jain's co-authors include Parag R. Gogate, Venkat S. Mane, Mahendra S. Gaikwad, Alok Dubey, Kanchapogu Suresh, Jigisha Parikh and Parimal A. Parikh and has published in prestigious journals such as Journal of Cleaner Production, Journal of Environmental Management and Journal of Molecular Liquids.

In The Last Decade

Suyog N. Jain

18 papers receiving 673 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suyog N. Jain India 11 561 245 194 92 87 20 731
Aniruddha M. Mandhare India 7 381 0.7× 233 1.0× 88 0.5× 86 0.9× 72 0.8× 7 583
Patrícia S.C. Souza Brazil 9 502 0.9× 150 0.6× 98 0.5× 195 2.1× 102 1.2× 11 747
Amanda Ronix Brazil 10 479 0.9× 158 0.6× 107 0.6× 163 1.8× 95 1.1× 12 673
Mohamad Esmaieli Iran 13 580 1.0× 219 0.9× 137 0.7× 177 1.9× 111 1.3× 19 875
Zhao-Hong Hu China 5 563 1.0× 240 1.0× 131 0.7× 177 1.9× 78 0.9× 6 904
J. Galán Spain 7 364 0.6× 127 0.5× 125 0.6× 180 2.0× 60 0.7× 9 559
Abbas Noor Alshirifi Iraq 5 605 1.1× 245 1.0× 169 0.9× 136 1.5× 109 1.3× 7 850
Nouf F. Al‐Harby Egypt 14 464 0.8× 251 1.0× 76 0.4× 160 1.7× 83 1.0× 34 802
Farοuk Boudrahem Algeria 13 555 1.0× 108 0.4× 100 0.5× 101 1.1× 132 1.5× 21 749
Guilaine Jaria Portugal 14 400 0.7× 128 0.5× 136 0.7× 126 1.4× 93 1.1× 15 662

Countries citing papers authored by Suyog N. Jain

Since Specialization
Citations

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

Fields of papers citing papers by Suyog N. Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suyog N. Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Suyog N. Jain. A scholar is included among the top collaborators of Suyog N. 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 Suyog N. Jain. Suyog N. 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.
Jain, Suyog N., et al.. (2024). Adsorptive separation of Acid Red 33 by groundnut shell–based activated carbon. Biomass Conversion and Biorefinery. 15(10). 16003–16013. 1 indexed citations
2.
Jain, Suyog N., et al.. (2024). Age Verification using Zero-knowledge Proof. 1–9.
3.
4.
Parikh, Parimal A., et al.. (2023). Caustic soda treated dried foliage of Arachis hypogaea as a promising biosorbent for Chromacyl Blue GG dye removal. Biomass Conversion and Biorefinery. 14(24). 31767–31776. 1 indexed citations
5.
Jain, Suyog N., et al.. (2020). Vegetable residue of fenugreek (Trigonella Foenum-Graecum), waste biomass for removal of Basic Violet 14 from wastewater: Kinetic, equilibrium, and reusability studies. Sustainable Chemistry and Pharmacy. 16. 100269–100269. 16 indexed citations
6.
Jain, Suyog N., et al.. (2020). Kinetic, equilibrium, thermodynamic, and desorption studies for sequestration of acid dye using waste biomass as sustainable adsorbents. Biomass Conversion and Biorefinery. 12(7). 2597–2609. 20 indexed citations
7.
Jain, Suyog N., et al.. (2020). Sesame (Sesamum indicum) oil cake—industrial waste biomass for sequestration of Basic Blue 26 from aqueous media. Biomass Conversion and Biorefinery. 12(9). 3783–3793. 3 indexed citations
8.
Jain, Suyog N., et al.. (2019). Incense stick ash as a novel and sustainable adsorbent for sequestration of Victoria Blue from aqueous phase. Sustainable Chemistry and Pharmacy. 15. 100199–100199. 38 indexed citations
9.
Jain, Suyog N., et al.. (2019). Batch and continuous studies for adsorption of anionic dye onto waste tea residue: Kinetic, equilibrium, breakthrough and reusability studies. Journal of Cleaner Production. 252. 119778–119778. 147 indexed citations
10.
Jain, Suyog N., et al.. (2019). Nonlinear regression approach for acid dye remediation using activated adsorbent: Kinetic, isotherm, thermodynamic and reusability studies. Microchemical Journal. 148. 605–615. 30 indexed citations
11.
Jain, Suyog N. & Parag R. Gogate. (2019). Adsorptive removal of azo dye in a continuous column operation using biosorbent based on NaOH and surfactant activation of Prunus dulcis leaves. Desalination and Water Treatment. 141. 331–341. 14 indexed citations
12.
Jain, Suyog N. & Parag R. Gogate. (2019). Treatment of Dye Containing Real Industrial Effluents using NaOH-Activated Ficus racemosa and Prunus dulcis based Novel Adsorbents. International Journal of Environmental Research. 13(2). 337–347. 10 indexed citations
13.
Jain, Suyog N. & Parag R. Gogate. (2018). Efficient removal of Acid Green 25 dye from wastewater using activated Prunus Dulcis as biosorbent: Batch and column studies. Journal of Environmental Management. 210. 226–238. 125 indexed citations
14.
Jain, Suyog N., et al.. (2017). Restoring the voids of voices by signs and gestures, in dentistry: A cross-sectional study. Journal of Indian Society of Pedodontics and Preventive Dentistry. 35(2). 115–115. 5 indexed citations
15.
Jain, Suyog N. & Parag R. Gogate. (2017). Fixed bed column study for the removal of Acid Blue 25 dye using NaOH-treated fallen leaves of Ficus racemosa. Desalination and Water Treatment. 85. 215–225. 7 indexed citations
16.
Jain, Suyog N. & Parag R. Gogate. (2017). Adsorptive removal of acid violet 17 dye from wastewater using biosorbent obtained from NaOH and H2SO4 activation of fallen leaves of Ficus racemosa. Journal of Molecular Liquids. 243. 132–143. 98 indexed citations
17.
Jain, Suyog N. & Parag R. Gogate. (2017). Acid Blue 113 removal from aqueous solution using novel biosorbent based on NaOH treated and surfactant modified fallen leaves of Prunus Dulcis. Journal of environmental chemical engineering. 5(4). 3384–3394. 87 indexed citations
18.
Jain, Suyog N., et al.. (2016). Dental applications of ozone therapy: A review of literature. 8(1-2). 105–111. 60 indexed citations
19.
20.
Jain, Suyog N. & Parag R. Gogate. (2016). NaOH-treated dead leaves of Ficus racemosa as an efficient biosorbent for Acid Blue 25 removal. International Journal of Environmental Science and Technology. 14(3). 531–542. 55 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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