Daniel Schwendenwein

39 total papers · 598 total citations
14 papers, 456 citations indexed

About

Daniel Schwendenwein is a scholar working on Molecular Biology, Biotechnology and Pharmacology. According to data from OpenAlex, Daniel Schwendenwein has authored 14 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Biotechnology and 2 papers in Pharmacology. Recurrent topics in Daniel Schwendenwein's work include Enzyme Catalysis and Immobilization (7 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and Biochemical and biochemical processes (4 papers). Daniel Schwendenwein is often cited by papers focused on Enzyme Catalysis and Immobilization (7 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and Biochemical and biochemical processes (4 papers). Daniel Schwendenwein collaborates with scholars based in Austria, Germany and South Africa. Daniel Schwendenwein's co-authors include Margit Winkler, Florian Rudroff, Christoph W. Sensen, Abel J. Bronkhorst, Stefan Holdenrieder, Vida Ungerer, Klaus Schliep, Hansjörg Weber, Giuseppe Fiume and Anna K. Ressmann and has published in prestigious journals such as International Journal of Molecular Sciences, Frontiers in Microbiology and Biomacromolecules.

In The Last Decade

Daniel Schwendenwein

13 papers receiving 450 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel Schwendenwein 330 106 85 70 28 14 456
Michael P. Lockhart‐Cairns 257 0.8× 49 0.5× 48 0.6× 31 0.4× 21 0.8× 15 426
O. V. Podobed 335 1.0× 59 0.6× 33 0.4× 79 1.1× 28 1.0× 35 506
William Burnett 225 0.7× 56 0.5× 45 0.5× 33 0.5× 14 0.5× 11 452
Feng Xu 342 1.0× 98 0.9× 68 0.8× 26 0.4× 27 1.0× 34 533
Kudelaidi Kuerban 279 0.8× 40 0.4× 129 1.5× 43 0.6× 42 1.5× 18 531
Suyash M. Patil 254 0.8× 72 0.7× 75 0.9× 34 0.5× 64 2.3× 14 463
Mehrnoosh Fathi‐Roudsari 256 0.8× 107 1.0× 50 0.6× 87 1.2× 43 1.5× 16 474
Alicja Sznarkowska 209 0.6× 50 0.5× 39 0.5× 35 0.5× 16 0.6× 18 431
Cathrine Elisabeth Olsen 181 0.5× 58 0.5× 207 2.4× 39 0.6× 38 1.4× 12 451
Yuyan Wang 280 0.8× 57 0.5× 84 1.0× 11 0.2× 39 1.4× 22 428

Countries citing papers authored by Daniel Schwendenwein

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Schwendenwein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Schwendenwein

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