R. Schwaier

25 total papers · 695 total citations
24 papers, 583 citations indexed

About

R. Schwaier is a scholar working on Molecular Biology, Pharmacology and Plant Science. According to data from OpenAlex, R. Schwaier has authored 24 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Pharmacology and 3 papers in Plant Science. Recurrent topics in R. Schwaier's work include Polyamine Metabolism and Applications (6 papers), Fungal and yeast genetics research (5 papers) and DNA and Nucleic Acid Chemistry (5 papers). R. Schwaier is often cited by papers focused on Polyamine Metabolism and Applications (6 papers), Fungal and yeast genetics research (5 papers) and DNA and Nucleic Acid Chemistry (5 papers). R. Schwaier collaborates with scholars based in Germany. R. Schwaier's co-authors include Friedrich K. Zimmermann, Hans Marquardt, F. K. Zimmermann, R. Preußmann and W. Blum and has published in prestigious journals such as Die Naturwissenschaften, Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis and Molecular Genetics and Genomics.

In The Last Decade

R. Schwaier

24 papers receiving 529 citations

Author Peers

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

Author Last Decade Papers Cites
R. Schwaier 359 174 163 57 52 24 583
Gordon S. Edwards 164 0.5× 217 1.2× 332 2.0× 44 0.8× 41 0.8× 22 569
P. P. Puglisi 458 1.3× 60 0.3× 175 1.1× 102 1.8× 29 0.6× 37 636
Inger Porsch Hällström 231 0.6× 222 1.3× 85 0.5× 29 0.5× 82 1.6× 26 695
G. Brun 248 0.7× 400 2.3× 196 1.2× 39 0.7× 35 0.7× 22 627
M. Matsui 361 1.0× 218 1.3× 107 0.7× 20 0.4× 22 0.4× 24 658
Leo E. Hill 256 0.7× 293 1.7× 139 0.9× 22 0.4× 34 0.7× 13 592
Y. Tazima 239 0.7× 115 0.7× 101 0.6× 31 0.5× 18 0.3× 26 525
Johannes Gerding 291 0.8× 110 0.6× 257 1.6× 63 1.1× 5 0.1× 23 620
H. Timourian 128 0.4× 217 1.2× 75 0.5× 151 2.6× 44 0.8× 32 567
Howard S. Ramsdell 264 0.7× 132 0.8× 150 0.9× 5 0.1× 50 1.0× 24 591

Countries citing papers authored by R. Schwaier

Since Specialization
Citations

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

Fields of papers citing papers by R. Schwaier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Schwaier

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