Stefan Pflügl

46 total papers · 1.3k total citations
35 papers, 990 citations indexed

About

Stefan Pflügl is a scholar working on Molecular Biology, Biomedical Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Stefan Pflügl has authored 35 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 23 papers in Biomedical Engineering and 6 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Stefan Pflügl's work include Microbial Metabolic Engineering and Bioproduction (23 papers), Biofuel production and bioconversion (20 papers) and Enzyme Catalysis and Immobilization (17 papers). Stefan Pflügl is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (23 papers), Biofuel production and bioconversion (20 papers) and Enzyme Catalysis and Immobilization (17 papers). Stefan Pflügl collaborates with scholars based in Austria, Germany and China. Stefan Pflügl's co-authors include Christoph Herwig, Diethard Mattanovich, Michael Sauer, Hans Marx, Maximilian Lackner, Donya Kamravamanesh, Paul Kröll, Irina S. Druzhinina, Tamás Kovács and Steffen Klamt and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioresource Technology.

In The Last Decade

Stefan Pflügl

34 papers receiving 979 citations

Author Peers

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

Author						Papers	Cites
Stefan Pflügl	723	488	131	117	86	35	990
Thomas Rydzak	715 1.0×	669 1.4×	99 0.8×	44 0.4×	51 0.6×	29	979
Isamu Maeda	504 0.7×	199 0.4×	105 0.8×	153 1.3×	99 1.2×	73	1.0k
Yilan Liu	587 0.8×	366 0.8×	104 0.8×	46 0.4×	170 2.0×	53	1.1k
Valeria Mapelli	567 0.8×	390 0.8×	64 0.5×	50 0.4×	55 0.6×	31	902
Abhishek Bhattacharya	583 0.8×	537 1.1×	115 0.9×	80 0.7×	37 0.4×	37	1.1k
Rajesh Reddy Bommareddy	677 0.9×	471 1.0×	73 0.6×	143 1.2×	30 0.3×	19	917
Pixiang Wang	362 0.5×	429 0.9×	87 0.7×	52 0.4×	40 0.5×	45	819
Sammy Pontrelli	779 1.1×	414 0.8×	39 0.3×	118 1.0×	46 0.5×	20	1.1k
Evert K. Holwerda	716 1.0×	750 1.5×	85 0.6×	110 0.9×	22 0.3×	29	1.0k
Jong An Lee	695 1.0×	393 0.8×	146 1.1×	57 0.5×	38 0.4×	17	1000

Countries citing papers authored by Stefan Pflügl

Since Specialization

Citations

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

Fields of papers citing papers by Stefan Pflügl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Pflügl

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Pflügl. A scholar is included among the top collaborators of Stefan Pflügl 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 Stefan Pflügl. Stefan Pflügl 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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