Bernd Schäfer

86 total papers · 2.5k total citations
64 papers, 1.8k citations indexed

About

Bernd Schäfer is a scholar working on Molecular Biology, Organic Chemistry and Pharmacology. According to data from OpenAlex, Bernd Schäfer has authored 64 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 13 papers in Organic Chemistry and 10 papers in Pharmacology. Recurrent topics in Bernd Schäfer's work include RNA and protein synthesis mechanisms (10 papers), Plant biochemistry and biosynthesis (8 papers) and Fungal and yeast genetics research (7 papers). Bernd Schäfer is often cited by papers focused on RNA and protein synthesis mechanisms (10 papers), Plant biochemistry and biosynthesis (8 papers) and Fungal and yeast genetics research (7 papers). Bernd Schäfer collaborates with scholars based in Germany, United States and Sweden. Bernd Schäfer's co-authors include Alfonso Lampen, Karen Ildico Hirsch‐Ernst, Rainer Ziegenhagen, Susanne Andres, Sophie Pevny, Nadiya Bakhiya, Ryouichi Tanaka, Stephen T. Mosley, Stephen Kalinowski and Andreas Eisenreich and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Bernd Schäfer

63 papers receiving 1.7k citations

Hit Papers

Safety Aspects of the Use... 2017 2026 2020 2023 2017 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Bernd Schäfer 957 197 162 155 144 64 1.8k
Norio Yamamoto 780 0.8× 192 1.0× 186 1.1× 129 0.8× 131 0.9× 50 1.7k
Jeong‐Sang Lee 924 1.0× 118 0.6× 178 1.1× 213 1.4× 178 1.2× 46 1.8k
Akhilesh K. Tamrakar 1.1k 1.1× 382 1.9× 218 1.3× 171 1.1× 103 0.7× 96 2.2k
Mun-Ock Kim 951 1.0× 135 0.7× 209 1.3× 112 0.7× 118 0.8× 59 1.7k
Raju Dash 916 1.0× 181 0.9× 222 1.4× 95 0.6× 167 1.2× 86 2.1k
Sarmistha Saha 901 0.9× 96 0.5× 232 1.4× 99 0.6× 187 1.3× 68 1.9k
Jung‐Mi Yun 856 0.9× 117 0.6× 199 1.2× 79 0.5× 178 1.2× 60 1.8k
Cuihua Jiang 824 0.9× 143 0.7× 377 2.3× 137 0.9× 185 1.3× 90 1.8k
Tiago Rodrigues 766 0.8× 285 1.4× 216 1.3× 69 0.4× 106 0.7× 82 1.8k
Ghada M. Suddеk 541 0.6× 176 0.9× 183 1.1× 130 0.8× 268 1.9× 77 1.8k

Countries citing papers authored by Bernd Schäfer

Since Specialization
Citations

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

Fields of papers citing papers by Bernd Schäfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernd Schäfer

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