Andrea Schafferhans

1.8k total citations · 1 hit paper
12 papers, 891 citations indexed

About

Andrea Schafferhans is a scholar working on Molecular Biology, Materials Chemistry and Genetics. According to data from OpenAlex, Andrea Schafferhans has authored 12 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Materials Chemistry and 2 papers in Genetics. Recurrent topics in Andrea Schafferhans's work include Protein Structure and Dynamics (6 papers), Genomics and Phylogenetic Studies (6 papers) and RNA and protein synthesis mechanisms (4 papers). Andrea Schafferhans is often cited by papers focused on Protein Structure and Dynamics (6 papers), Genomics and Phylogenetic Studies (6 papers) and RNA and protein synthesis mechanisms (4 papers). Andrea Schafferhans collaborates with scholars based in Germany, Australia and United Kingdom. Andrea Schafferhans's co-authors include Burkhard Rost, G. Klebe, Séan O’Donoghue, Tatyana Goldberg, Michael Bernhofer, Edda Kloppmann, Tobias Hamp, Reinhard Schneider, Lothar Richter and László Kaján and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Andrea Schafferhans

12 papers receiving 871 citations

Hit Papers

PredictProtein—an open resource for online prediction of ... 2014 2026 2018 2022 2014 100 200 300 400

Peers

Andrea Schafferhans
Guy Nimrod Israel
Tobias Hamp Germany
C.C. Huang United States
Sebastian Bittrich United States
M. Gaßel Germany
Ron Davis United States
Matthew Bashton United Kingdom
Guy Nimrod Israel
Andrea Schafferhans
Citations per year, relative to Andrea Schafferhans Andrea Schafferhans (= 1×) peers Guy Nimrod

Countries citing papers authored by Andrea Schafferhans

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Schafferhans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Schafferhans

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Schafferhans. A scholar is included among the top collaborators of Andrea Schafferhans 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 Andrea Schafferhans. Andrea Schafferhans is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
O’Donoghue, Séan, Andrea Schafferhans, Christian Stolte, et al.. (2021). SARS‐CoV‐2 structural coverage map reveals viral protein assembly, mimicry, and hijacking mechanisms. Molecular Systems Biology. 17(9). e10079–e10079. 22 indexed citations
2.
Schafferhans, Andrea, Séan O’Donoghue, Michael Heinzinger, & Burkhard Rost. (2018). Dark Proteins Important for Cellular Function. PROTEOMICS. 18(21-22). e1800227–e1800227. 5 indexed citations
3.
Ardern, Zachary, Tatyana Goldberg, Andrea Schafferhans, et al.. (2017). Discovery of numerous novel small genes in the intergenic regions of the Escherichia coli O157:H7 Sakai genome. PLoS ONE. 12(9). e0184119–e0184119. 23 indexed citations
4.
Neuhaus, Klaus, Svenja Simon, Andrea Schafferhans, et al.. (2016). Translatomics combined with transcriptomics and proteomics reveals novel functional, recently evolved orphan genes in Escherichia coli O157:H7 (EHEC). BMC Genomics. 17(1). 133–133. 25 indexed citations
5.
Stolte, Christian, et al.. (2015). Integrated visual analysis of protein structures, sequences, and feature data. BMC Bioinformatics. 16(S11). S7–S7. 6 indexed citations
6.
Heinrich, Julian, Christian Stolte, Kenneth S. Sabir, et al.. (2015). Unexpected features of the dark proteome. Proceedings of the National Academy of Sciences. 112(52). 15898–15903. 131 indexed citations
7.
Yachdav, Guy, Edda Kloppmann, László Kaján, et al.. (2014). PredictProtein—an open resource for online prediction of protein structural and functional features. Nucleic Acids Research. 42(W1). W337–W343. 455 indexed citations breakdown →
8.
O’Donoghue, Séan, David S. Goodsell, Achilleas S. Frangakis, et al.. (2010). Visualization of macromolecular structures. Nature Methods. 7(S3). S42–S55. 122 indexed citations
9.
O’Donoghue, Séan, et al.. (2004). The SRS 3D module: integrating structures, sequences and features. Bioinformatics. 20(15). 2476–2478. 14 indexed citations
10.
Schafferhans, Andrea. (2003). The PSSH database of alignments between protein sequences and tertiary structures. Nucleic Acids Research. 31(1). 494–498. 12 indexed citations
11.
Schafferhans, Andrea & G. Klebe. (2001). Docking ligands onto binding site representations derived from proteins built by homology modelling. Journal of Molecular Biology. 307(1). 407–427. 69 indexed citations
12.
Escrieut, Chantal, et al.. (2000). Peptide/benzodiazepine hybrids as ligands of CCKA and CCKB receptors. Biopolymers. 56(2). 55–76. 7 indexed citations

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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