Nina G. Schmidt

16 total papers · 517 total citations
11 papers, 405 citations indexed

About

Nina G. Schmidt is a scholar working on Molecular Biology, Organic Chemistry and Pharmacology. According to data from OpenAlex, Nina G. Schmidt has authored 11 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Organic Chemistry and 4 papers in Pharmacology. Recurrent topics in Nina G. Schmidt's work include Enzyme Catalysis and Immobilization (9 papers), Chemical Synthesis and Analysis (4 papers) and Microbial Natural Products and Biosynthesis (4 papers). Nina G. Schmidt is often cited by papers focused on Enzyme Catalysis and Immobilization (9 papers), Chemical Synthesis and Analysis (4 papers) and Microbial Natural Products and Biosynthesis (4 papers). Nina G. Schmidt collaborates with scholars based in Austria and Germany. Nina G. Schmidt's co-authors include Wolfgang Kroutil, Anna Żądło‐Dobrowolska, Tea Pavkov‐Keller, Karl Gruber, Birgit Wiltschi, Nina Richter, Robert C. Simon, Kurt Faber, Johannes Gross and Barbara Grischek and has published in prestigious journals such as Angewandte Chemie International Edition, Chemical Communications and ACS Catalysis.

In The Last Decade

Nina G. Schmidt

11 papers receiving 404 citations

Author Peers

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

Author Last Decade Papers Cites
Nina G. Schmidt 258 211 63 51 44 11 405
Hannah Minges 245 0.9× 182 0.9× 52 0.8× 50 1.0× 47 1.1× 10 449
Peter W. Sutton 265 1.0× 195 0.9× 25 0.4× 41 0.8× 27 0.6× 23 391
Radha S. Narayan 135 0.5× 394 1.9× 47 0.7× 47 0.9× 56 1.3× 8 494
Horst Lechner 362 1.4× 208 1.0× 45 0.7× 59 1.2× 44 1.0× 18 462
Justyna Kulig 345 1.3× 78 0.4× 42 0.7× 36 0.7× 42 1.0× 10 427
David M. Clode 168 0.7× 282 1.3× 44 0.7× 15 0.3× 22 0.5× 14 376
Eiichi Mano 144 0.6× 378 1.8× 44 0.7× 40 0.8× 14 0.3× 8 481
Constantin Vogel 243 0.9× 73 0.3× 34 0.5× 44 0.9× 129 2.9× 14 382
Kirsty Smithies 374 1.4× 204 1.0× 50 0.8× 20 0.4× 97 2.2× 7 457
Toshiro Takemasa 132 0.5× 236 1.1× 25 0.4× 40 0.8× 17 0.4× 8 443

Countries citing papers authored by Nina G. Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Nina G. Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nina G. Schmidt. 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 Nina G. Schmidt. The network helps show where Nina G. Schmidt may publish in the future.

Co-authorship network of co-authors of Nina G. Schmidt

This figure shows the co-authorship network connecting the top 25 collaborators of Nina G. Schmidt. A scholar is included among the top collaborators of Nina G. Schmidt 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 Nina G. Schmidt. Nina G. Schmidt 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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