Stephen Picataggio

1.3k total citations
9 papers, 904 citations indexed

About

Stephen Picataggio is a scholar working on Molecular Biology, Biomedical Engineering and Infectious Diseases. According to data from OpenAlex, Stephen Picataggio has authored 9 papers receiving a total of 904 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Biomedical Engineering and 1 paper in Infectious Diseases. Recurrent topics in Stephen Picataggio's work include Microbial Metabolic Engineering and Bioproduction (6 papers), Enzyme Catalysis and Immobilization (4 papers) and Biofuel production and bioconversion (3 papers). Stephen Picataggio is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (6 papers), Enzyme Catalysis and Immobilization (4 papers) and Biofuel production and bioconversion (3 papers). Stephen Picataggio collaborates with scholars based in United States. Stephen Picataggio's co-authors include Mark Finkelstein, C K Eddy, Min Zhang, Jonathan R. Mielenz, L. Dudley Eirich, Robert B. Reynolds, Alex H. Hutagalung, Kirsty Salmon, Ling Li and José M. Laplaza and has published in prestigious journals such as Science, Nature Biotechnology and Molecular and Cellular Biology.

In The Last Decade

Stephen Picataggio

8 papers receiving 866 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephen Picataggio United States	6	738	589	91	88	43	9	904
Zhiyong Cui China	21	1.1k 1.4×	473 0.8×	53 0.6×	66 0.8×	31 0.7×	46	1.2k
Lies Dwiarti Japan	10	568 0.8×	494 0.8×	108 1.2×	110 1.3×	30 0.7×	14	818
Florence Bordes France	21	1.0k 1.4×	432 0.7×	76 0.8×	79 0.9×	63 1.5×	28	1.2k
Valeria Mapelli Sweden	13	572 0.8×	394 0.7×	65 0.7×	64 0.7×	53 1.2×	31	912
Yong-Cheol Park South Korea	16	667 0.9×	665 1.1×	129 1.4×	61 0.7×	93 2.2×	28	964
Kris Niño G. Valdehuesa South Korea	16	592 0.8×	430 0.7×	92 1.0×	55 0.6×	20 0.5×	30	807
Xinjun Feng China	15	447 0.6×	287 0.5×	54 0.6×	74 0.8×	33 0.8×	22	714
Stefanie Kind Germany	9	778 1.1×	382 0.6×	57 0.6×	124 1.4×	57 1.3×	10	915
Elliot N. Miller United States	12	984 1.3×	807 1.4×	105 1.2×	45 0.5×	34 0.8×	13	1.1k
Kristine Rose M. Ramos South Korea	14	505 0.7×	367 0.6×	87 1.0×	45 0.5×	19 0.4×	26	672

Countries citing papers authored by Stephen Picataggio

Since Specialization

Citations

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

Fields of papers citing papers by Stephen Picataggio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Picataggio

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

All Works

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9 of 9 papers shown

Lin, Myat T., P. Richard Harrigan, Miles R. Marshall, et al.. (2025). Adaptive Laboratory Evolution and Scale-Up of Rhodosporidium toruloides for Commercial Lipid Production. Industrial Biotechnology. 21(5). 344–352.

Salmon, Kirsty, et al.. (2012). Co-fermentation of xylose and cellobiose by an engineered Saccharomyces cerevisiae. Journal of Industrial Microbiology & Biotechnology. 39(11). 1597–1604. 38 indexed citations

Picataggio, Stephen, et al.. (2012). Bio‐based adipic acid from renewable oils. Lipid Technology. 24(10). 223–225. 74 indexed citations

Newman, Jack, et al.. (2010). INDUSTRY SURVEY: Synthetic biology: Challenges, opportunities. Industrial Biotechnology. 6(6). 321–326. 1 indexed citations

Picataggio, Stephen. (2009). Potential impact of synthetic biology on the development of microbial systems for the production of renewable fuels and chemicals. Current Opinion in Biotechnology. 20(3). 325–329. 26 indexed citations

Picataggio, Stephen, Lori J. Templeton, Dana R. Smulski, & Robert A. LaRossa. (2002). Transcript profiling of Escherichia coli using high-density DNA microarrays. Methods in enzymology on CD-ROM/Methods in enzymology. 358. 177–188. 5 indexed citations

Zhang, Min, et al.. (1995). Metabolic Engineering of a Pentose Metabolism Pathway in Ethanologenic Zymomonas mobilis. Science. 267(5195). 240–243. 496 indexed citations

Picataggio, Stephen, et al.. (1992). Metabolic Engineering of Candida Tropicalis for the Production of Long–Chain Dicarboxylic Acids. Nature Biotechnology. 10(8). 894–898. 207 indexed citations

Picataggio, Stephen, et al.. (1991). Determination of Candida tropicalis Acyl Coenzyme A Oxidase Isozyme Function by Sequential Gene Disruption. Molecular and Cellular Biology. 11(9). 4333–4339. 57 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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