Sarma Mutturi

1.2k total citations
39 papers, 908 citations indexed

About

Sarma Mutturi is a scholar working on Molecular Biology, Biomedical Engineering and Biotechnology. According to data from OpenAlex, Sarma Mutturi has authored 39 papers receiving a total of 908 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 18 papers in Biomedical Engineering and 11 papers in Biotechnology. Recurrent topics in Sarma Mutturi's work include Microbial Metabolic Engineering and Bioproduction (12 papers), Biofuel production and bioconversion (12 papers) and Enzyme Production and Characterization (9 papers). Sarma Mutturi is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (12 papers), Biofuel production and bioconversion (12 papers) and Enzyme Production and Characterization (9 papers). Sarma Mutturi collaborates with scholars based in India, Sweden and United States. Sarma Mutturi's co-authors include Kalaivani Paramasivan, Gunnar Lidén, Anindya Basu, Siddalingaiya Gurudutt Prapulla, Françoise Dumortier, Mekonnen M. Demeke, Beatriz M. Bonini, Johan M. Thevelein, Alex Verplaetse and Eckhard Boles and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and Industrial & Engineering Chemistry Research.

In The Last Decade

Sarma Mutturi

35 papers receiving 898 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarma Mutturi India 16 612 408 152 124 115 39 908
Julieta Rangel de Oliveira Brazil 19 393 0.6× 375 0.9× 280 1.8× 120 1.0× 98 0.9× 39 788
Marina Gabriel Pessôa Brazil 9 288 0.5× 142 0.3× 154 1.0× 173 1.4× 137 1.2× 9 707
Ayyappan Appukuttan Aachary Canada 13 292 0.5× 455 1.1× 201 1.3× 183 1.5× 401 3.5× 15 947
Valéria Dal Prá Brazil 17 202 0.3× 184 0.5× 117 0.8× 169 1.4× 66 0.6× 33 613
Hung-Der Jang Taiwan 15 470 0.8× 377 0.9× 163 1.1× 154 1.2× 90 0.8× 23 903
Dolores Reyes‐Duarte Mexico 16 667 1.1× 204 0.5× 165 1.1× 157 1.3× 145 1.3× 30 1.0k
Rodrigo Melgosa Spain 20 347 0.6× 216 0.5× 179 1.2× 283 2.3× 78 0.7× 38 863
D. Šmogrovičová Slovakia 17 525 0.9× 410 1.0× 126 0.8× 479 3.9× 128 1.1× 44 938
Jamile Zeni Brazil 14 269 0.4× 166 0.4× 226 1.5× 244 2.0× 118 1.0× 114 826
Jian Lu China 19 367 0.6× 208 0.5× 248 1.6× 500 4.0× 206 1.8× 73 999

Countries citing papers authored by Sarma Mutturi

Since Specialization
Citations

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

Fields of papers citing papers by Sarma Mutturi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarma Mutturi

This figure shows the co-authorship network connecting the top 25 collaborators of Sarma Mutturi. A scholar is included among the top collaborators of Sarma Mutturi 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 Sarma Mutturi. Sarma Mutturi 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.
Upreti, Reshmi, et al.. (2025). Role of Glu720 mutation in transglycosylating α-glucosidase derived from Aspergillus neoniger NCIM 1400. International Journal of Biological Macromolecules. 319(Pt 4). 145644–145644.
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Mutturi, Sarma, et al.. (2024). Engineering of Saccharomyces cerevisiae towards synthesis of linalool using linalool synthase from Magnolia champaca. Biochemical Engineering Journal. 211. 109477–109477. 3 indexed citations
4.
Kala, A., et al.. (2024). Comprehensive quality evaluation of Indian chili powder using physiochemical indicators coupled with multivariate analysis. Journal of Food Composition and Analysis. 133. 106472–106472. 2 indexed citations
5.
Singh, Akanksha, Deependra Rajoriya, K.V. Harish Prashanth, et al.. (2024). Arabinoxylan from pearl millet bran: Optimized extraction, structural characterization, and its bioactivities. International Journal of Biological Macromolecules. 279(Pt 2). 135247–135247. 4 indexed citations
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Vasu, Prasanna, et al.. (2024). Bifidobacterium adolescentis is resistant to pyrazinamide, isoniazid, and streptomycin. Scientific Reports. 14(1). 29562–29562.
8.
Mutturi, Sarma, et al.. (2023). Rapid detection of sunset yellow adulteration in tea powder with variable selection coupled to machine learning tools using spectral data. Journal of Food Science and Technology. 60(5). 1530–1540. 13 indexed citations
9.
Mutturi, Sarma, et al.. (2023). Classification and quantification of multiple adulterants simultaneously in black tea using spectral data coupled with chemometric analysis. Journal of Food Composition and Analysis. 125. 105715–105715. 7 indexed citations
10.
Mutturi, Sarma, et al.. (2023). Support vector machine-based rapid detection and quantification of butter yellow adulteration in mustard oil using NIR spectra. Infrared Physics & Technology. 129. 104543–104543. 17 indexed citations
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Paramasivan, Kalaivani & Sarma Mutturi. (2022). Recent advances in the microbial production of squalene. World Journal of Microbiology and Biotechnology. 38(5). 91–91. 36 indexed citations
13.
Paramasivan, Kalaivani, et al.. (2022). In silico target-based strain engineering of Saccharomyces cerevisiae for terpene precursor improvement. Integrative Biology. 14(2). 25–36. 4 indexed citations
14.
Mutturi, Sarma, et al.. (2021). Alternative splicing regulates the α-glucosidase synthesis in Aspergillus neoniger NCIM 1400. Fungal Biology. 125(8). 658–665. 3 indexed citations
15.
Paramasivan, Kalaivani, et al.. (2021). Adaptive evolution of engineered yeast for squalene production improvement and its genome‐wide analysis. Yeast. 38(7). 424–437. 18 indexed citations
16.
Mutturi, Sarma, et al.. (2020). Expression of a novel α-glucosidase from Aspergillus neoniger in Pichia pastoris and its efficient recovery for synthesis of isomaltooligosaccharides. Enzyme and Microbial Technology. 141. 109653–109653. 11 indexed citations
17.
Mutturi, Sarma. (2018). Dynamic optimization of fed-batch bioprocesses using flower pollination algorithm. Bioprocess and Biosystems Engineering. 41(11). 1679–1696. 8 indexed citations
18.
Paramasivan, Kalaivani, et al.. (2018). Studies on Squalene Biosynthesis and the Standardization of Its Extraction Methodology from Saccharomyces cerevisiae. Applied Biochemistry and Biotechnology. 187(3). 691–707. 14 indexed citations
19.
Mutturi, Sarma. (2017). FOCuS: a metaheuristic algorithm for computing knockouts from genome-scale models for strain optimization. Molecular BioSystems. 13(7). 1355–1363. 12 indexed citations
20.
Paramasivan, Kalaivani & Sarma Mutturi. (2017). Progress in terpene synthesis strategies through engineering of Saccharomyces cerevisiae. Critical Reviews in Biotechnology. 37(8). 974–989. 108 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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