S. Shah

853 total citations · 1 hit paper
24 papers, 627 citations indexed

About

S. Shah is a scholar working on Complementary and alternative medicine, Molecular Biology and Plant Science. According to data from OpenAlex, S. Shah has authored 24 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Complementary and alternative medicine, 6 papers in Molecular Biology and 6 papers in Plant Science. Recurrent topics in S. Shah's work include Analytical Chemistry and Chromatography (5 papers), Essential Oils and Antimicrobial Activity (4 papers) and Phytochemicals and Medicinal Plants (4 papers). S. Shah is often cited by papers focused on Analytical Chemistry and Chromatography (5 papers), Essential Oils and Antimicrobial Activity (4 papers) and Phytochemicals and Medicinal Plants (4 papers). S. Shah collaborates with scholars based in United States, India and Russia. S. Shah's co-authors include Tushar Dhanani, Satyanshu Kumar, Narendra Gajbhiye, Larry T. Taylor, M. Ashraf‐Khorassani, R. Saravanan, Raghuraj Singh, Premlata Kumari, Rajesh Kumar and Richey M. Davis and has published in prestigious journals such as Analytical Chemistry, Journal of Chromatography A and Arabian Journal of Chemistry.

In The Last Decade

S. Shah

23 papers receiving 596 citations

Hit Papers

Effect of extraction methods on yield, phytochemical cons... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Shah United States 10 240 189 135 134 132 24 627
Diego Ballesteros-Vivas Colombia 15 148 0.6× 188 1.0× 140 1.0× 172 1.3× 215 1.6× 21 679
Mohamed M. Al‐Azizi Egypt 12 227 0.9× 215 1.1× 113 0.8× 235 1.8× 107 0.8× 22 683
Pravin Wakte India 13 205 0.9× 249 1.3× 63 0.5× 204 1.5× 93 0.7× 58 804
Žika Lepojević Serbia 17 229 1.0× 295 1.6× 74 0.5× 175 1.3× 217 1.6× 40 848
F. F. Vincieri Italy 15 269 1.1× 184 1.0× 94 0.7× 272 2.0× 161 1.2× 27 752
Wei Yue China 13 156 0.7× 157 0.8× 51 0.4× 161 1.2× 185 1.4× 32 593
Shuge Tian China 13 279 1.2× 208 1.1× 115 0.9× 274 2.0× 181 1.4× 56 707
Ranjith Arimboor India 17 268 1.1× 275 1.5× 201 1.5× 152 1.1× 192 1.5× 23 830
Bernd Weinreich Germany 9 119 0.5× 192 1.0× 66 0.5× 131 1.0× 278 2.1× 11 715
Guang‐Ping Lv Macao 16 440 1.8× 213 1.1× 117 0.9× 278 2.1× 74 0.6× 17 861

Countries citing papers authored by S. Shah

Since Specialization
Citations

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

Fields of papers citing papers by S. Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Shah

This figure shows the co-authorship network connecting the top 25 collaborators of S. Shah. A scholar is included among the top collaborators of S. Shah 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 S. Shah. S. Shah 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.
Dhanani, Tushar, S. Shah, & Satyanshu Kumar. (2015). A validated high performance liquid chromatography method for determination of three bioactive compounds p-hydroxy benzoic acid, negundoside and agnuside in Vitex species. Macedonian Journal of Chemistry and Chemical Engineering. 34(2). 321–331. 6 indexed citations
4.
Dhanani, Tushar, Raghuraj Singh, S. Shah, Premlata Kumari, & Satyanshu Kumar. (2015). Comparison of green extraction methods with conventional extraction method for extract yield, L-DOPA concentration and antioxidant activity ofMucuna pruriensseed. Green Chemistry Letters and Reviews. 8(2). 43–48. 33 indexed citations
7.
Shah, S., Tushar Dhanani, & Satyanshu Kumar. (2013). Validated HPLC method for identification and quantification of p-hydroxy benzoic acid and agnuside in Vitex negundo and Vitex trifolia. Journal of Pharmaceutical Analysis. 3(6). 500–508. 23 indexed citations
8.
Dhanani, Tushar, S. Shah, Narendra Gajbhiye, & Satyanshu Kumar. (2013). Effect of extraction methods on yield, phytochemical constituents and antioxidant activity of Withania somnifera. Arabian Journal of Chemistry. 10. S1193–S1199. 387 indexed citations breakdown →
9.
Saravanan, R., S. Shah, & Narendra Gajbhiye. (2013). Effect of light intensity on photosynthesis and accumulation of sennosides in plant parts of senna (Cassia angustifolia Vahl.). Indian Journal of Plant Physiology. 18(3). 285–289. 6 indexed citations
10.
Khan, Farah, et al.. (2011). Screening of Mentha longifolia for nutritional, antinutritional and inorganic contents.. Journal of Pharmacy Research. 4(10). 3824–3825. 1 indexed citations
11.
Shah, S., R. Saravanan, & Narendra Gajbhiye. (2010). Leaf gas exchange, chlorophyll fluorescence, growth and root yield of Ashwagandha (Withania somnifera Dunal.) under soil moisture stress.. Indian Journal of Plant Physiology. 15(2). 117–124. 5 indexed citations
12.
Shah, S., R. Saravanan, & Narendra Gajbhiye. (2010). Phytochemical and physiological changes in Ashwagandha (Withania somnifera Dunal) under soil moisture stress. Brazilian Journal of Plant Physiology. 22(4). 255–261. 14 indexed citations
13.
Shah, S., et al.. (2001). In-situ second harmonic generation measurements of the formation of ionically self-assembled monolayers. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4461. 311–311. 2 indexed citations
14.
Shah, S., et al.. (2001). Novel Hybrid Covalent / Ionic Self-Assembly Technique for Improved Second-Order Nonlinear Optical Films. MRS Proceedings. 708. 1 indexed citations
15.
Shah, S., et al.. (2001). Second-order nonlinear optical responses of ionically self-assembled films: polycation variations and dianionic chromophores. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4461. 214–214. 1 indexed citations
16.
Shah, S., Kevin E. Van Cott, Richey M. Davis, et al.. (2000). Enhanced Second Order Nonlinear Optical Susceptibilities in Ionically Self-Assembled Films Incorporating Dianionic Molecules. MRS Proceedings. 660. 2 indexed citations
17.
Shah, S., Kevin E. Van Cott, Richey M. Davis, et al.. (2000). Enhanced Second Order Nonlinear Optical Susceptibilities in Ionically Self-Assembled Films Incorporating Dianionic Molecules. MRS Proceedings. 660. 3 indexed citations
18.
Ashraf‐Khorassani, M., S. Shah, & Larry T. Taylor. (1990). Column efficiency comparison with supercritical fluid carbon dioxide versus methanol-modified carbon dioxide as the mobile phase. Analytical Chemistry. 62(11). 1173–1176. 17 indexed citations
19.
Shah, S., M. Ashraf‐Khorassani, & Larry T. Taylor. (1990). Analysis of triazine and triazole herbicides by gradient-elution supercritical fluid chromatography. Journal of Chromatography A. 505(1). 293–298. 8 indexed citations
20.
Shah, S., M. Ashraf‐Khorassani, & Larry T. Taylor. (1989). Normal-phase liquid and supercritical-fluid chromatographic separations of steroids with Fourier-transform infrared spectrometric detection. Chromatographia. 27(9-10). 441–448. 11 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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