Rosa Di Leo

736 total citations
15 papers, 575 citations indexed

About

Rosa Di Leo is a scholar working on Molecular Biology, Biotechnology and Plant Science. According to data from OpenAlex, Rosa Di Leo has authored 15 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Biotechnology and 6 papers in Plant Science. Recurrent topics in Rosa Di Leo's work include Microbial Metabolic Engineering and Bioproduction (5 papers), Biofuel production and bioconversion (3 papers) and Polysaccharides and Plant Cell Walls (3 papers). Rosa Di Leo is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (5 papers), Biofuel production and bioconversion (3 papers) and Polysaccharides and Plant Cell Walls (3 papers). Rosa Di Leo collaborates with scholars based in Canada, United States and United Kingdom. Rosa Di Leo's co-authors include Robert T. Mullen, Barry J. Shelp, Shawn M. Clark, Owen R. Van Cauwenberghe, Alexei Savchenko, Preetinder K. Dhanoa, P.J. Stogios, E. Evdokimova, Alexander F. Yakunin and Robert Flick and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Rosa Di Leo

15 papers receiving 569 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rosa Di Leo Canada	12	289	234	90	86	81	15	575
Hongmei Zhang China	14	342 1.2×	89 0.4×	24 0.3×	55 0.6×	63 0.8×	28	552
Inseong Jo South Korea	12	321 1.1×	45 0.2×	63 0.7×	61 0.7×	63 0.8×	40	529
Patricia Costaglioli France	12	496 1.7×	119 0.5×	29 0.3×	56 0.7×	79 1.0×	25	702
Junjie Yang China	15	516 1.8×	165 0.7×	23 0.3×	73 0.8×	100 1.2×	51	636
Nor Azlan Nor Muhammad Malaysia	10	244 0.8×	133 0.6×	22 0.2×	29 0.3×	18 0.2×	41	459
Ziyi Yin China	19	595 2.1×	851 3.6×	26 0.3×	22 0.3×	44 0.5×	53	1.1k
Jiaoyu Wang China	13	206 0.7×	319 1.4×	11 0.1×	32 0.4×	36 0.4×	63	568
Huanbin Shi China	20	502 1.7×	694 3.0×	18 0.2×	25 0.3×	45 0.6×	48	990
Oliver Kirchner Germany	8	515 1.8×	301 1.3×	29 0.3×	38 0.4×	199 2.5×	8	829
Jesús Agustín Badillo-Corona Mexico	15	590 2.0×	154 0.7×	8 0.1×	205 2.4×	42 0.5×	28	733

Countries citing papers authored by Rosa Di Leo

Since Specialization

Citations

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

Fields of papers citing papers by Rosa Di Leo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rosa Di Leo. 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 Rosa Di Leo. The network helps show where Rosa Di Leo may publish in the future.

Co-authorship network of co-authors of Rosa Di Leo

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

All Works

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15 of 15 papers shown

Guo, Yirui, Hanif M. Khan, Bradley Quade, et al.. (2025). Structural architecture of TolQ-TolR inner membrane protein complex from opportunistic pathogen Acinetobacter baumannii. Science Advances. 11(14). eadq9845–eadq9845. 3 indexed citations

Skarina, T., Rosa Di Leo, David H. Kwan, et al.. (2024). Functional and structural characterization of an I cl R family transcription factor for the development of dicarboxylic acid biosensors. FEBS Journal. 291(15). 3481–3498. 1 indexed citations

Wang, Weijun, Thu V. Vuong, Xiu Yang, et al.. (2021). Structural characterization of the family GH115 α-glucuronidase from Amphibacillus xylanus yields insight into its coordinated action with α-arabinofuranosidases. New Biotechnology. 62. 49–56. 7 indexed citations

Batyrova, Khorcheska, Anna N. Khusnutdinova, Po‐Hsiang Wang, et al.. (2020). Biocatalytic in Vitro and in Vivo FMN Prenylation and (De)carboxylase Activation. ACS Chemical Biology. 15(7). 1874–1882. 15 indexed citations

Fedorchuk, Tatiana P., Anna N. Khusnutdinova, E. Evdokimova, et al.. (2019). One-Pot Biocatalytic Transformation of Adipic Acid to 6-Aminocaproic Acid and 1,6-Hexamethylenediamine Using Carboxylic Acid Reductases and Transaminases. Journal of the American Chemical Society. 142(2). 1038–1048. 78 indexed citations

Little, Dustin J., Dominika Borek, T. Skarina, et al.. (2018). Functional diversification of the NleG effector family in enterohemorrhagic Escherichia coli. Proceedings of the National Academy of Sciences. 115(40). 10004–10009. 20 indexed citations

Urbanus, Malene L., Andrew T. Quaile, P.J. Stogios, et al.. (2016). Diverse mechanisms of metaeffector activity in an intracellular bacterial pathogen, Legionella pneumophila. Molecular Systems Biology. 12(12). 95 indexed citations

Wang, Weijun, B. Nocek, Thu V. Vuong, et al.. (2016). Biochemical and Structural Characterization of a Five-domain GH115 α-Glucuronidase from the Marine Bacterium Saccharophagus degradans 2-40T. Journal of Biological Chemistry. 291(27). 14120–14133. 16 indexed citations

Nakayasu, Ernesto, Michael Sydor, Roslyn N. Brown, et al.. (2015). Identification of Salmonella Typhimurium Deubiquitinase SseL Substrates by Immunoaffinity Enrichment and Quantitative Proteomic Analysis. Journal of Proteome Research. 14(9). 4029–4038. 13 indexed citations

10.

Kaur, Amrit Pal, B. Nocek, Xiaohui Xu, et al.. (2014). Functional and structural diversity in GH 62 α‐ L ‐arabinofuranosidases from the thermophilic fungus S cytalidium thermophilum. Microbial Biotechnology. 8(3). 419–433. 31 indexed citations

11.

Alcaide, María M., P.J. Stogios, Xiaohui Xu, et al.. (2013). Single residues dictate the co-evolution of dual esterases: MCP hydrolases from the α/β hydrolase family. Biochemical Journal. 454(1). 157–166. 18 indexed citations

12.

Deshpande, Chandrika, S.J. Harrop, Yan Boucher, et al.. (2011). Crystal Structure of an Integron Gene Cassette-Associated Protein from Vibrio cholerae Identifies a Cationic Drug-Binding Module. PLoS ONE. 6(3). e16934–e16934. 45 indexed citations

13.

Clark, Shawn M., Rosa Di Leo, Preetinder K. Dhanoa, et al.. (2009). Biochemical characterization, mitochondrial localization, expression, and potential functions for an Arabidopsis γ-aminobutyrate transaminase that utilizes both pyruvate and glyoxylate. Journal of Experimental Botany. 60(6). 1743–1757. 107 indexed citations

14.

Clark, Shawn M., Rosa Di Leo, Owen R. Van Cauwenberghe, Robert T. Mullen, & Barry J. Shelp. (2009). Subcellular localization and expression of multiple tomato γ-aminobutyrate transaminases that utilize both pyruvate and glyoxylate. Journal of Experimental Botany. 60(11). 3255–3267. 68 indexed citations

15.

Simpson, Jeffrey P., Rosa Di Leo, Preetinder K. Dhanoa, et al.. (2008). Identification and characterization of a plastid-localized Arabidopsis glyoxylate reductase isoform: comparison with a cytosolic isoform and implications for cellular redox homeostasis and aldehyde detoxification. Journal of Experimental Botany. 59(9). 2545–2554. 58 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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