Carolina A. Barcelos

814 total citations
15 papers, 579 citations indexed

About

Carolina A. Barcelos is a scholar working on Biomedical Engineering, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Carolina A. Barcelos has authored 15 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 12 papers in Molecular Biology and 3 papers in Agronomy and Crop Science. Recurrent topics in Carolina A. Barcelos's work include Biofuel production and bioconversion (14 papers), Microbial Metabolic Engineering and Bioproduction (12 papers) and Catalysis for Biomass Conversion (6 papers). Carolina A. Barcelos is often cited by papers focused on Biofuel production and bioconversion (14 papers), Microbial Metabolic Engineering and Bioproduction (12 papers) and Catalysis for Biomass Conversion (6 papers). Carolina A. Barcelos collaborates with scholars based in United States, Brazil and Denmark. Carolina A. Barcelos's co-authors include Nei Pereira, Roberto Nobuyuki Maeda, Lídia Maria Melo Santa Anna, Gabriel J. Vargas, Antônio Carlos Augusto da Costa, Manoel Artigas Schirmer, Blake A. Simmons, John M. Gladden, Eric Sundström and Lalitendu Das and has published in prestigious journals such as Bioresource Technology, Green Chemistry and Biomass and Bioenergy.

In The Last Decade

Carolina A. Barcelos

15 papers receiving 565 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carolina A. Barcelos United States 12 424 244 96 81 61 15 579
Kenneth Francis Rodrigues Malaysia 4 479 1.1× 413 1.7× 75 0.8× 16 0.2× 59 1.0× 5 690
Riki Shiroma Japan 11 418 1.0× 274 1.1× 90 0.9× 13 0.2× 101 1.7× 22 503
Ismael U. Nieves United States 11 613 1.4× 455 1.9× 88 0.9× 59 0.7× 39 0.6× 12 715
Young‐Lok Cha South Korea 15 399 0.9× 237 1.0× 43 0.4× 89 1.1× 23 0.4× 58 610
Régis Nouaille France 11 458 1.1× 473 1.9× 45 0.5× 29 0.4× 28 0.5× 14 679
Surbhi Sharma India 12 437 1.0× 200 0.8× 78 0.8× 13 0.2× 46 0.8× 20 549
Ryan J. Stoklosa United States 13 472 1.1× 167 0.7× 92 1.0× 11 0.1× 26 0.4× 22 619
Vera Novy Austria 15 416 1.0× 305 1.3× 81 0.8× 13 0.2× 32 0.5× 20 578
Smriti Shrivastava India 9 363 0.9× 318 1.3× 99 1.0× 16 0.2× 28 0.5× 34 644
Ahmed Abdelhafez Egypt 9 158 0.4× 128 0.5× 65 0.7× 32 0.4× 21 0.3× 23 351

Countries citing papers authored by Carolina A. Barcelos

Since Specialization
Citations

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

Fields of papers citing papers by Carolina A. Barcelos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carolina A. Barcelos. 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 Carolina A. Barcelos. The network helps show where Carolina A. Barcelos may publish in the future.

Co-authorship network of co-authors of Carolina A. Barcelos

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

All Works

15 of 15 papers shown
1.
Chen, Xueli, A. S. Krishnamoorthy, Venkataramana R. Pidatala, et al.. (2025). Distillable amine-based solvents for effective pretreatment of multiple biomass feedstocks. Biofuel Research Journal. 12(3). 2487–2502. 1 indexed citations
2.
Garcia, Valentina E., Venkataramana R. Pidatala, Carolina A. Barcelos, et al.. (2023). Enhanced microbial production of protocatechuate from engineered sorghum using an integrated feedstock-to-product conversion technology. Green Chemistry. 25(17). 6797–6808. 9 indexed citations
3.
Otoupal, Peter B., Gina M. Geiselman, Carolina A. Barcelos, et al.. (2022). Advanced one-pot deconstruction and valorization of lignocellulosic biomass into triacetic acid lactone using Rhodosporidium toruloides. Microbial Cell Factories. 21(1). 254–254. 12 indexed citations
4.
Pang, Bo, Jia Li, Christopher B. Eiben, et al.. (2021). Lepidopteran mevalonate pathway optimization in Escherichia coli efficiently produces isoprenol analogs for next-generation biofuels. Metabolic Engineering. 68. 210–219. 12 indexed citations
5.
Das, Lalitendu, Ezinne C. Achinivu, Carolina A. Barcelos, et al.. (2021). Deconstruction of Woody Biomass via Protic and Aprotic Ionic Liquid Pretreatment for Ethanol Production. ACS Sustainable Chemistry & Engineering. 9(12). 4422–4432. 47 indexed citations
6.
Barcelos, Carolina A., Jipeng Yan, Lalitendu Das, et al.. (2021). High-Efficiency Conversion of Ionic Liquid-Pretreated Woody Biomass to Ethanol at the Pilot Scale. ACS Sustainable Chemistry & Engineering. 9(11). 4042–4053. 50 indexed citations
7.
Wehrs, Maren, Deepanwita Banerjee, Jan‐Philip Prahl, et al.. (2020). Investigation of Bar-seq as a method to study population dynamics of Saccharomyces cerevisiae deletion library during bioreactor cultivation. Microbial Cell Factories. 19(1). 167–167. 8 indexed citations
8.
Geiselman, Gina M., James Kirby, Alexander Landera, et al.. (2020). Conversion of poplar biomass into high-energy density tricyclic sesquiterpene jet fuel blendstocks. Microbial Cell Factories. 19(1). 208–208. 23 indexed citations
9.
Pérez‐Pimienta, José A., Gabriella Papa, Alberto Rodriguez, et al.. (2019). Pilot-scale hydrothermal pretreatment and optimized saccharification enables bisabolene production from multiple feedstocks. Green Chemistry. 21(11). 3152–3164. 29 indexed citations
10.
Barcelos, Carolina A., Roberto Nobuyuki Maeda, Lídia Maria Melo Santa Anna, & Nei Pereira. (2016). Sweet sorghum as a whole-crop feedstock for ethanol production. Biomass and Bioenergy. 94. 46–56. 76 indexed citations
11.
Schirmer, Manoel Artigas, et al.. (2014). Potential of giant reed (Arundo donax L.) for second generation ethanol production. Electronic Journal of Biotechnology. 18(1). 10–15. 76 indexed citations
12.
Barcelos, Carolina A., et al.. (2013). Production of ethanol 3G from Kappaphycus alvarezii: Evaluation of different process strategies. Bioresource Technology. 134. 257–263. 71 indexed citations
13.
Maeda, Roberto Nobuyuki, Carolina A. Barcelos, Lídia Maria Melo Santa Anna, & Nei Pereira. (2012). Cellulase production by Penicillium funiculosum and its application in the hydrolysis of sugar cane bagasse for second generation ethanol production by fed batch operation. Journal of Biotechnology. 163(1). 38–44. 91 indexed citations
14.
Barcelos, Carolina A., Roberto Nobuyuki Maeda, Gabriel J. Vargas, & Nei Pereira. (2012). The Essentialness of Delignification on Enzymatic Hydrolysis of Sugar Cane Bagasse Cellulignin for Second Generation Ethanol Production. Waste and Biomass Valorization. 4(2). 341–346. 30 indexed citations
15.
Barcelos, Carolina A., Roberto Nobuyuki Maeda, Gabriel J. Vargas, & Nei Pereira. (2011). Ethanol production from sorghum grains [Sorghum bicolor (L.) Moench]: evaluation of the enzymatic hydrolysis and the hydrolysate fermentability. Brazilian Journal of Chemical Engineering. 28(4). 597–604. 44 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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Rankless by CCL
2026