A. Jarasch

1.4k total citations
18 papers, 1.1k citations indexed

About

A. Jarasch is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, A. Jarasch has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 3 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Genetics. Recurrent topics in A. Jarasch's work include RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (5 papers) and Biochemical and Molecular Research (3 papers). A. Jarasch is often cited by papers focused on RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (5 papers) and Biochemical and Molecular Research (3 papers). A. Jarasch collaborates with scholars based in Germany, United States and France. A. Jarasch's co-authors include Jean‐Paul Armache, Roland Beckmann, Thorsten Mielke, Otto Berninghausen, Shashi Bhushan, Daniel N. Wilson, Éric Westhof, Fabrice Jossinet, Hans Koll and Elizabeth Villa and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

A. Jarasch

18 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
A. Jarasch Germany 10 993 172 171 87 85 18 1.1k
Florian Cymer Germany 17 889 0.9× 192 1.1× 169 1.0× 100 1.1× 74 0.9× 26 1.0k
Rebecca F. Alford United States 6 990 1.0× 152 0.9× 82 0.5× 51 0.6× 72 0.8× 12 1.2k
Michiel van de Waterbeemd Netherlands 14 701 0.7× 64 0.4× 98 0.6× 30 0.3× 47 0.6× 16 1.1k
Mireille Pellis Belgium 7 688 0.7× 545 3.2× 75 0.4× 153 1.8× 65 0.8× 7 907
Takuhiro Ito Japan 26 1.4k 1.4× 50 0.3× 137 0.8× 81 0.9× 87 1.0× 58 1.7k
Pawel K. Dominik United States 12 383 0.4× 104 0.6× 55 0.3× 126 1.4× 109 1.3× 20 583
Hélène Launay France 18 895 0.9× 42 0.2× 205 1.2× 57 0.7× 158 1.9× 38 1.1k
Iwan Zimmermann Switzerland 15 723 0.7× 238 1.4× 76 0.4× 59 0.7× 122 1.4× 19 1.0k
Yong Yao China 3 543 0.5× 108 0.6× 65 0.4× 29 0.3× 47 0.6× 5 748
Mert Gür Türkiye 15 731 0.7× 47 0.3× 58 0.3× 41 0.5× 36 0.4× 36 955

Countries citing papers authored by A. Jarasch

Since Specialization
Citations

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

Fields of papers citing papers by A. Jarasch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Jarasch

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

All Works

18 of 18 papers shown
1.
Henkel, Ron, et al.. (2022). CovidGraph: a graph to fight COVID-19. Bioinformatics. 38(20). 4843–4845. 10 indexed citations
2.
Henkel, Ron, et al.. (2021). COVIDGraph: Connecting biomedical COVID-19 resources and computational biology models. Very Large Data Bases. 2929. 34–37. 2 indexed citations
3.
Jarasch, A., et al.. (2021). Structural plasticity in the loop region of engineered lipocalins with novel ligand specificities, so-called Anticalins. SHILAP Revista de lepidopterología. 6. 100054–100054. 7 indexed citations
4.
Angelis, Martin Hrabě de, et al.. (2021). DZDconnect: mit vernetzten Daten gegen Diabetes. Der Diabetologe. 17(8). 780–787. 1 indexed citations
5.
Jarasch, A., Hans‐Ulrich Häring, Michael Roden, et al.. (2018). Mit Big Data zur personalisierten Diabetesprävention. Der Diabetologe. 14(7). 486–492. 2 indexed citations
6.
Belgardt, Bengt‐Frederik, A. Jarasch, & Eckhard Lammert. (2017). Exploring biological and social networks to better understand and treat diabetes mellitus. Physics of Life Reviews. 24. 146–148. 1 indexed citations
7.
Lerchner, Alexandra, et al.. (2016). Fusion of an alcohol dehydrogenase with an aminotransferase using a PAS linker to improve coupled enzymatic alcohol-to-amine conversion. Protein Engineering Design and Selection. 29(12). 557–562. 24 indexed citations
8.
Jarasch, A., et al.. (2016). ANTICALIgN: visualizing, editing and analyzing combined nucleotide and amino acid sequence alignments for combinatorial protein engineering. Protein Engineering Design and Selection. 29(7). 263–270. 4 indexed citations
9.
Jarasch, A. & Arne Skerra. (2016). Aligning, analyzing, and visualizing sequences for antibody engineering: Automated recognition of immunoglobulin variable region features. Proteins Structure Function and Bioinformatics. 85(1). 65–71. 5 indexed citations
10.
Jarasch, A., Hans Koll, Jörg T. Regula, et al.. (2015). Developability Assessment During the Selection of Novel Therapeutic Antibodies. Journal of Pharmaceutical Sciences. 104(6). 1885–1898. 172 indexed citations
11.
Lerchner, Alexandra, A. Jarasch, & Arne Skerra. (2015). Engineering of alanine dehydrogenase from Bacillus subtilis for novel cofactor specificity. Biotechnology and Applied Biochemistry. 63(5). 616–624. 17 indexed citations
12.
Lerchner, Alexandra, A. Jarasch, Winfried Meining, A. Schiefner, & Arne Skerra. (2013). Crystallographic analysis and structure‐guided engineering of NADPH‐dependent Ralstonia sp. Alcohol dehydrogenase toward NADH cosubstrate specificity. Biotechnology and Bioengineering. 110(11). 2803–2814. 26 indexed citations
13.
Becker, Thomas, Jean‐Paul Armache, A. Jarasch, et al.. (2011). Structure of the no-go mRNA decay complex Dom34–Hbs1 bound to a stalled 80S ribosome. Nature Structural & Molecular Biology. 18(6). 715–720. 137 indexed citations
14.
Jarasch, A., P. J. Dziuk, Thomas Becker, et al.. (2011). The DARC site: a database of aligned ribosomal complexes. Nucleic Acids Research. 40(D1). D495–D500. 6 indexed citations
15.
Bhushan, Shashi, Marco Gartmann, Mario Halić, et al.. (2010). α-Helical nascent polypeptide chains visualized within distinct regions of the ribosomal exit tunnel. Nature Structural & Molecular Biology. 17(3). 313–317. 159 indexed citations
16.
Armache, Jean‐Paul, A. Jarasch, Andreas M. Anger, et al.. (2010). Cryo-EM structure and rRNA model of a translating eukaryotic 80S ribosome at 5.5-Å resolution. Proceedings of the National Academy of Sciences. 107(46). 19748–19753. 172 indexed citations
17.
Armache, Jean‐Paul, A. Jarasch, Andreas M. Anger, et al.. (2010). Localization of eukaryote-specific ribosomal proteins in a 5.5-Å cryo-EM map of the 80S eukaryotic ribosome. Proceedings of the National Academy of Sciences. 107(46). 19754–19759. 114 indexed citations
18.
Becker, Thomas, Shashi Bhushan, A. Jarasch, et al.. (2009). Structure of Monomeric Yeast and Mammalian Sec61 Complexes Interacting with the Translating Ribosome. Science. 326(5958). 1369–1373. 228 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Florian Cymer Breakdown of academic impact, for papers by Rebecca F. Alford Breakdown of academic impact, for papers by Michiel van de Waterbeemd Breakdown of academic impact, for papers by Mireille Pellis Breakdown of academic impact, for papers by Takuhiro Ito Breakdown of academic impact, for papers by Pawel K. Dominik Breakdown of academic impact, for papers by Hélène Launay Breakdown of academic impact, for papers by Iwan Zimmermann Breakdown of academic impact, for papers by Yong Yao Breakdown of academic impact, for papers by Mert Gür
Rankless by CCL
2026