Supriya Ratnaparkhe

510 total citations
10 papers, 364 citations indexed

About

Supriya Ratnaparkhe is a scholar working on Biomedical Engineering, Molecular Biology and Plant Science. According to data from OpenAlex, Supriya Ratnaparkhe has authored 10 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 7 papers in Molecular Biology and 3 papers in Plant Science. Recurrent topics in Supriya Ratnaparkhe's work include Biofuel production and bioconversion (8 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Polysaccharides and Plant Cell Walls (3 papers). Supriya Ratnaparkhe is often cited by papers focused on Biofuel production and bioconversion (8 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Polysaccharides and Plant Cell Walls (3 papers). Supriya Ratnaparkhe collaborates with scholars based in United States, India and France. Supriya Ratnaparkhe's co-authors include Harry J. Gilbert, Molly K. Altman, Mandi M. Murph, Wei Jia, Jason Backe, Arthur J. Ragauskas, Breeanna R. Urbanowicz, Utku Avcı, Hongjia Li and William S. York and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Planta.

In The Last Decade

Supriya Ratnaparkhe

10 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Supriya Ratnaparkhe United States 6 207 169 160 75 48 10 364
Soraya Djerbi Sweden 9 360 1.7× 210 1.2× 549 3.4× 59 0.8× 50 1.0× 12 742
B. Pinheiro Portugal 10 161 0.8× 143 0.8× 119 0.7× 132 1.8× 6 0.1× 20 364
Sijing Jiang China 12 272 1.3× 64 0.4× 93 0.6× 119 1.6× 7 0.1× 29 422
Luca Brambilla Italy 15 566 2.7× 242 1.4× 65 0.4× 71 0.9× 17 0.4× 26 678
Jina Song United States 10 227 1.1× 114 0.7× 105 0.7× 51 0.7× 9 0.2× 24 386
Johan Ø. Ipsen Denmark 12 163 0.8× 147 0.9× 147 0.9× 81 1.1× 8 0.2× 17 329
M. Soriano Spain 9 210 1.0× 61 0.4× 132 0.8× 92 1.2× 7 0.1× 11 369
José M. Inácio Portugal 11 180 0.9× 119 0.7× 72 0.5× 114 1.5× 14 0.3× 27 342
Yoshiyuki Tsujimoto Japan 9 271 1.3× 49 0.3× 81 0.5× 131 1.7× 16 0.3× 19 397

Countries citing papers authored by Supriya Ratnaparkhe

Since Specialization
Citations

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

Fields of papers citing papers by Supriya Ratnaparkhe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Supriya Ratnaparkhe

This figure shows the co-authorship network connecting the top 25 collaborators of Supriya Ratnaparkhe. A scholar is included among the top collaborators of Supriya Ratnaparkhe 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 Supriya Ratnaparkhe. Supriya Ratnaparkhe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Ratnaparkhe, Supriya & Milind B. Ratnaparkhe. (2019). Advances in Strain Engineering for Improved Bio-fuel Production- a Perspective. 7(1). 1–5. 1 indexed citations
2.
Ratnaparkhe, Supriya, Milind B. Ratnaparkhe, Arun Kumar Jaiswal, & Anil Kumar. (2015). Strain Engineering for Improved Bio-Fuel Production. 4(1). 38–48. 5 indexed citations
3.
Ratnaparkhe, Supriya, et al.. (2015). Biomass Pre-treatment Methods and Their Economic Viability for Efficient Production of Biofuel. British Biotechnology Journal. 8(2). 1–17. 10 indexed citations
5.
Urbanowicz, Breeanna R., María J. Peña, Supriya Ratnaparkhe, et al.. (2012). 4- O -methylation of glucuronic acid in Arabidopsis glucuronoxylan is catalyzed by a domain of unknown function family 579 protein. Proceedings of the National Academy of Sciences. 109(35). 14253–14258. 145 indexed citations
6.
Brás, Joana L. A., Alan Cartmell, Ana Luı́sa Carvalho, et al.. (2011). Structural insights into a unique cellulase fold and mechanism of cellulose hydrolysis. Proceedings of the National Academy of Sciences. 108(13). 5237–5242. 80 indexed citations
7.
Jia, Wei, et al.. (2011). MicroRNA-30c-2* Expressed in Ovarian Cancer Cells Suppresses Growth Factor–Induced Cellular Proliferation and Downregulates the Oncogene BCL9. Molecular Cancer Research. 9(12). 1732–1745. 56 indexed citations
8.
Brás, Joana L. A., Alan Cartmell, Edward A. Bayer, et al.. (2011). Structural insights into a unique cellulase fold and mechanism of cellulose hydrolysis (vol 108, pg 5237, 2011). 1 indexed citations
9.
Montanier, Cédric, J.E. Flint, David N. Bolam, et al.. (2010). Circular Permutation Provides an Evolutionary Link between Two Families of Calcium-dependent Carbohydrate Binding Modules. Journal of Biological Chemistry. 285(41). 31742–31754. 37 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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