Stefano Macrelli

723 total citations
7 papers, 514 citations indexed

About

Stefano Macrelli is a scholar working on Biomedical Engineering, Molecular Biology and Industrial and Manufacturing Engineering. According to data from OpenAlex, Stefano Macrelli has authored 7 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomedical Engineering, 4 papers in Molecular Biology and 2 papers in Industrial and Manufacturing Engineering. Recurrent topics in Stefano Macrelli's work include Biofuel production and bioconversion (5 papers), Catalysis for Biomass Conversion (4 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Stefano Macrelli is often cited by papers focused on Biofuel production and bioconversion (5 papers), Catalysis for Biomass Conversion (4 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Stefano Macrelli collaborates with scholars based in Sweden, Italy and Denmark. Stefano Macrelli's co-authors include Guido Zacchi, Mats Galbe, Krisztina Kovács, George Szakács, Ola Wallberg, Viridiana Santana Ferreira-Leitão, Serena Righi, Diego Marazza, Chiara Samorì and Paola Galletti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Waste Management and Energies.

In The Last Decade

Stefano Macrelli

7 papers receiving 491 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stefano Macrelli Sweden	7	429	251	78	75	63	7	514
Koel Saha India	7	291 0.7×	128 0.5×	51 0.7×	65 0.9×	61 1.0×	10	454
R. Bakker Netherlands	10	463 1.1×	205 0.8×	45 0.6×	70 0.9×	123 2.0×	12	633
Joseph Shekiro United States	9	574 1.3×	370 1.5×	53 0.7×	91 1.2×	90 1.4×	9	668
Ezyana Kamal Bahrin Malaysia	16	444 1.0×	237 0.9×	148 1.9×	119 1.6×	113 1.8×	35	661
Lalitha Devi Gottumukkala South Africa	13	419 1.0×	254 1.0×	77 1.0×	67 0.9×	46 0.7×	20	628
Leyanis Mesa Garriga Cuba	11	515 1.2×	276 1.1×	112 1.4×	84 1.1×	65 1.0×	29	645
Mattia Gelosia Italy	14	471 1.1×	146 0.6×	110 1.4×	39 0.5×	77 1.2×	29	610
Lalit Kumar Singh India	9	259 0.6×	174 0.7×	30 0.4×	42 0.6×	48 0.8×	23	408
Alicia A. Modenbach United States	4	647 1.5×	376 1.5×	46 0.6×	114 1.5×	140 2.2×	7	729
Carlos José Dalmas Neto Brazil	6	505 1.2×	278 1.1×	54 0.7×	55 0.7×	86 1.4×	7	641

Countries citing papers authored by Stefano Macrelli

Since Specialization

Citations

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

Fields of papers citing papers by Stefano Macrelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Macrelli

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

All Works

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7 of 7 papers shown

Macrelli, Stefano, et al.. (2024). Process scale-up simulation and techno-economic assessment of ethanol fermentation from cheese whey. SHILAP Revista de lepidopterología. 17(1). 124–124. 8 indexed citations

Macrelli, Stefano, Diego Marazza, Paola Galletti, et al.. (2020). Life Cycle Assessment and Energy Balance of a Novel Polyhydroxyalkanoates Production Process with Mixed Microbial Cultures Fed on Pyrolytic Products of Wastewater Treatment Sludge. Energies. 13(11). 2706–2706. 38 indexed citations

Marazza, Diego, et al.. (2019). Greenhouse gas savings and energy balance of sewage sludge treated through an enhanced intermediate pyrolysis screw reactor combined with a reforming process. Waste Management. 91. 42–53. 17 indexed citations

Macrelli, Stefano, Mats Galbe, & Ola Wallberg. (2014). Effects of production and market factors on ethanol profitability for an integrated first and second generation ethanol plant using the whole sugarcane as feedstock. Biotechnology for Biofuels. 7(1). 26–26. 72 indexed citations

Macrelli, Stefano, et al.. (2012). Techno-economic evaluation of 2nd generation bioethanol production from sugar cane bagasse and leaves integrated with the sugar-based ethanol process. Biotechnology for Biofuels. 5(1). 22–22. 222 indexed citations

Ferreira-Leitão, Viridiana Santana, et al.. (2010). An approach to the utilisation of CO2 as impregnating agent in steam pretreatment of sugar cane bagasse and leaves for ethanol production. Biotechnology for Biofuels. 3(1). 7–7. 62 indexed citations

Kovács, Krisztina, Stefano Macrelli, George Szakács, & Guido Zacchi. (2009). Enzymatic hydrolysis of steam-pretreated lignocellulosic materials with Trichoderma atroviride enzymes produced in-house. Biotechnology for Biofuels. 2(1). 14–14. 95 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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