Karin Strauß

7.3k total citations · 1 hit paper
112 papers, 4.5k citations indexed

About

Karin Strauß is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Karin Strauß has authored 112 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Networks and Communications, 39 papers in Electrical and Electronic Engineering and 38 papers in Molecular Biology. Recurrent topics in Karin Strauß's work include Parallel Computing and Optimization Techniques (36 papers), DNA and Biological Computing (33 papers) and Advanced biosensing and bioanalysis techniques (31 papers). Karin Strauß is often cited by papers focused on Parallel Computing and Optimization Techniques (36 papers), DNA and Biological Computing (33 papers) and Advanced biosensing and bioanalysis techniques (31 papers). Karin Strauß collaborates with scholars based in United States, United Kingdom and Germany. Karin Strauß's co-authors include Luís Ceze, Jeff Nivala, Doug Burger, Georg Seelig, Gabriel H. Loh, Bichlien H. Nguyen, Stuart Schechter, Brandon Lucia, Josep Torrellas and Randolph Lopez and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Nature Biotechnology.

In The Last Decade

Karin Strauß

110 papers receiving 4.4k citations

Hit Papers

Molecular digital data storage using DNA 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karin Strauß United States 40 1.7k 1.7k 1.6k 1.2k 548 112 4.5k
Luís Ceze United States 48 1.7k 1.0× 4.0k 2.4× 4.8k 3.0× 2.8k 2.4× 526 1.0× 189 8.8k
Alvin R. Lebeck United States 35 419 0.2× 3.2k 1.9× 3.2k 2.0× 1.2k 1.1× 57 0.1× 124 4.5k
Seth Copen Goldstein United States 32 93 0.1× 2.9k 1.7× 2.9k 1.8× 2.2k 1.9× 927 1.7× 143 5.8k
Tatsuya Suda United States 29 1.1k 0.7× 1.5k 0.9× 121 0.1× 1.1k 0.9× 98 0.2× 160 3.3k
Mohsen Imani United States 39 144 0.1× 791 0.5× 951 0.6× 3.4k 2.9× 95 0.2× 243 4.5k
Alan Marshall United Kingdom 26 182 0.1× 953 0.6× 258 0.2× 1.6k 1.4× 92 0.2× 155 3.1k
Shlomi Dolev Israel 30 84 0.0× 3.0k 1.8× 598 0.4× 857 0.7× 152 0.3× 269 4.3k
Mircea R. Stan United States 45 99 0.1× 3.2k 1.9× 5.1k 3.2× 7.3k 6.3× 273 0.5× 287 9.8k
Sherief Reda United States 32 84 0.0× 635 0.4× 1.7k 1.0× 2.4k 2.0× 103 0.2× 153 3.2k
Philip Brisk United States 28 78 0.0× 442 0.3× 1.0k 0.6× 1.4k 1.2× 322 0.6× 166 2.5k

Countries citing papers authored by Karin Strauß

Since Specialization
Citations

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

Fields of papers citing papers by Karin Strauß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karin Strauß

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

All Works

20 of 20 papers shown
1.
Organick, Lee, Jeff McBride, Sten Bay Jørgensen, et al.. (2025). Random access and semantic search in DNA data storage enabled by Cas9 and machine-guided design. Nature Communications. 16(1). 6388–6388.
2.
Yekhanin, Sergey, Hao Jiang, Jeff Nivala, et al.. (2025). Hybridization-encoded DNA tags with paper-based readout for anti-forgery raw material tracking. Nature Communications. 16(1). 5832–5832. 1 indexed citations
3.
Bögels, Bas W. A., Bichlien H. Nguyen, David P. Schrijver, et al.. (2023). DNA storage in thermoresponsive microcapsules for repeated random multiplexed data access. Nature Nanotechnology. 18(8). 912–921. 39 indexed citations
4.
Chen, Yuan-Jyue, et al.. (2022). A nanopore interface for higher bandwidth DNA computing. Nature Communications. 13(1). 4904–4904. 15 indexed citations
5.
Nguyen, Bichlien H., Yuan-Jyue Chen, Jeff Nivala, et al.. (2022). Synthetic DNA applications in information technology. Nature Communications. 13(1). 352–352. 86 indexed citations
6.
Gimpel, Andreas L., Weida D. Chen, Reinhard Heckel, et al.. (2022). Information decay and enzymatic information recovery for DNA data storage. Communications Biology. 5(1). 1117–1117. 6 indexed citations
7.
Linder, Johannes, et al.. (2021). Robust Digital Molecular Design of Binarized Neural Networks. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 3 indexed citations
8.
Bogard, Nicholas, et al.. (2021). Multiplexed direct detection of barcoded protein reporters on a nanopore array. Nature Biotechnology. 40(1). 42–46. 35 indexed citations
9.
Organick, Lee, Yuan-Jyue Chen, Siena Dumas Ang, et al.. (2020). Probing the physical limits of reliable DNA data retrieval. Nature Communications. 11(1). 616–616. 85 indexed citations
10.
Strauß, Karin, et al.. (2020). Rapid and robust assembly and decoding of molecular tags with DNA-based nanopore signatures. Nature Communications. 11(1). 5454–5454. 38 indexed citations
11.
Nguyen, Bichlien H., et al.. (2020). Architecting Datacenters for Sustainability: Greener Data Storage using Synthetic DNA. 8 indexed citations
12.
Takahashi, Christopher N., Bichlien H. Nguyen, Karin Strauß, & Luís Ceze. (2019). Demonstration of End-to-End Automation of DNA Data Storage. Scientific Reports. 9(1). 4998–4998. 91 indexed citations
13.
Lopez, Randolph, Siena Dumas Ang, Sergey Yekhanin, et al.. (2019). DNA assembly for nanopore data storage readout. Nature Communications. 10(1). 2933–2933. 98 indexed citations
14.
Ceze, Luís, Jeff Nivala, & Karin Strauß. (2019). Molecular digital data storage using DNA. Nature Reviews Genetics. 20(8). 456–466. 350 indexed citations breakdown →
15.
Newman, Sharon, Max Willsey, Bichlien H. Nguyen, et al.. (2019). High density DNA data storage library via dehydration with digital microfluidic retrieval. Nature Communications. 10(1). 1706–1706. 105 indexed citations
16.
Rashtchian, Cyrus, Konstantin Makarychev, Miklós Z. Rácz, et al.. (2017). Clustering Billions of Reads for DNA Data Storage. neural information processing systems. 30. 3360–3371. 22 indexed citations
17.
Bornholt, James, Randolph Lopez, Douglas M. Carmean, et al.. (2017). A DNA-Based Archival Storage System. IEEE Micro. 1–1. 6 indexed citations
18.
Bornholt, James, Randolph Lopez, Douglas M. Carmean, et al.. (2016). A DNA-Based Archival Storage System. ACM SIGPLAN Notices. 51(4). 637–649. 41 indexed citations
19.
Bornholt, James, Randolph Lopez, Douglas M. Carmean, et al.. (2016). A DNA-Based Archival Storage System. ACM SIGARCH Computer Architecture News. 44(2). 637–649. 33 indexed citations
20.
Riva, Oriana, Chuan Qin, Karin Strauß, & Dimitrios Lymberopoulos. (2012). Progressive authentication: deciding when to authenticate on mobile phones. USENIX Security Symposium. 15–15. 97 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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