S. K. Picataggio

12 total papers · 431 total citations
8 papers, 300 citations indexed

About

S. K. Picataggio is a scholar working on Molecular Biology, Biomedical Engineering and Biotechnology. According to data from OpenAlex, S. K. Picataggio has authored 8 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Biomedical Engineering and 3 papers in Biotechnology. Recurrent topics in S. K. Picataggio's work include Biofuel production and bioconversion (4 papers), Enzyme Production and Characterization (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). S. K. Picataggio is often cited by papers focused on Biofuel production and bioconversion (4 papers), Enzyme Production and Characterization (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). S. K. Picataggio collaborates with scholars based in United States. S. K. Picataggio's co-authors include C K Eddy, Min Zhang, Jonathan R. Mielenz, Qiong Cheng, Lianyuan Tao, Pierre E. Rouvière, D. E. Eveleigh, D. H. J. Schamhart, B.S. Montenecourt and Mary Ann Franden and has published in prestigious journals such as Molecular and Cellular Biology, Applied and Environmental Microbiology and Applied Microbiology and Biotechnology.

In The Last Decade

S. K. Picataggio

7 papers receiving 282 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
S. K. Picataggio 258 183 50 26 22 8 300
Cheng-Yu Ho 197 0.8× 226 1.2× 41 0.8× 20 0.8× 9 0.4× 9 323
Christin Kubisch 187 0.7× 160 0.9× 66 1.3× 55 2.1× 12 0.5× 10 331
Christopher M. Gowen 274 1.1× 183 1.0× 49 1.0× 14 0.5× 8 0.4× 8 324
Mo Xian 263 1.0× 104 0.6× 20 0.4× 24 0.9× 9 0.4× 17 336
Pamela L. Sharpe 292 1.1× 85 0.5× 26 0.5× 40 1.5× 8 0.4× 9 343
Takasumi Hattori 186 0.7× 99 0.5× 78 1.6× 20 0.8× 6 0.3× 12 292
Kamran Jawed 273 1.1× 171 0.9× 38 0.8× 20 0.8× 3 0.1× 11 355
Tania I. Georgieva 266 1.0× 317 1.7× 70 1.4× 18 0.7× 5 0.2× 9 354
Sang Kyu Shin 199 0.8× 144 0.8× 75 1.5× 43 1.7× 5 0.2× 16 353
Zain Akram 129 0.5× 131 0.7× 58 1.2× 10 0.4× 8 0.4× 9 345

Countries citing papers authored by S. K. Picataggio

Since Specialization
Citations

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

Fields of papers citing papers by S. K. Picataggio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. K. Picataggio

This figure shows the co-authorship network connecting the top 25 collaborators of S. K. Picataggio. A scholar is included among the top collaborators of S. K. 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 S. K. Picataggio. S. K. 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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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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2026