Georg Seelig

14.1k total citations · 6 hit papers
67 papers, 8.5k citations indexed

About

Georg Seelig is a scholar working on Molecular Biology, Ecology and Mechanical Engineering. According to data from OpenAlex, Georg Seelig has authored 67 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 7 papers in Ecology and 5 papers in Mechanical Engineering. Recurrent topics in Georg Seelig's work include Advanced biosensing and bioanalysis techniques (33 papers), RNA and protein synthesis mechanisms (19 papers) and DNA and Biological Computing (17 papers). Georg Seelig is often cited by papers focused on Advanced biosensing and bioanalysis techniques (33 papers), RNA and protein synthesis mechanisms (19 papers) and DNA and Biological Computing (17 papers). Georg Seelig collaborates with scholars based in United States, United Kingdom and Switzerland. Georg Seelig's co-authors include David Y. Zhang, Erik Winfree, David Soloveichik, Richard A. Muscat, Yuan-Jyue Chen, Alexander Rosenberg, Benjamin Groves, Randolph Lopez, Karin Strauß and Anna Kuchina and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Georg Seelig

67 papers receiving 8.4k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Dynamic DNA nanotechnology using strand-displacement reactions

2011 1.4k citations David Y. Zhang, Georg Seelig profile →
Enzyme-Free Nucleic Acid Logic Circuits

2006 1.2k citations Georg Seelig, David Soloveichik et al. Science profile →
Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding

2018 877 citations Alexander Rosenberg, Charles M. Roco et al. Science profile →
DNA nanotechnology from the test tube to the cell

2015 499 citations Yuan-Jyue Chen, Benjamin Groves et al. Nature Nanotechnology profile →
De novo design of protein homo-oligomers with modular hydrogen-bond network–mediated specificity

2016 232 citations Benjamin Groves, Georg Seelig et al. Science profile →
Microbial single-cell RNA sequencing by split-pool barcoding

2021 183 citations Anna Kuchina, Leandra Brettner et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Georg Seelig United States	34	7.7k	1.6k	687	594	422	67	8.5k
Peng Yin United States	52	11.1k 1.4×	4.0k 2.5×	820 1.2×	1.6k 2.6×	476 1.1×	147	13.9k
Thomas H. LaBean United States	38	6.4k 0.8×	1.6k 1.0×	922 1.3×	1.3k 2.1×	171 0.4×	87	7.5k
William M. Shih United States	48	13.3k 1.7×	4.1k 2.6×	790 1.1×	2.8k 4.7×	225 0.5×	83	15.5k
Paul Bertone United States	48	10.4k 1.3×	941 0.6×	130 0.2×	182 0.3×	1.1k 2.5×	68	12.0k
Paul W. K. Rothemund United States	27	9.0k 1.2×	2.9k 1.8×	929 1.4×	1.6k 2.7×	61 0.1×	38	10.3k
Yaakov Benenson Switzerland	24	3.3k 0.4×	612 0.4×	378 0.6×	127 0.2×	291 0.7×	54	3.6k
Erik Winfree United States	42	14.4k 1.9×	3.7k 2.3×	1.8k 2.7×	1.8k 3.0×	188 0.4×	81	15.7k
Jay T. Groves United States	59	8.1k 1.0×	2.8k 1.7×	601 0.9×	139 0.2×	204 0.5×	197	12.3k
Jane Clarke United Kingdom	57	7.5k 1.0×	382 0.2×	417 0.6×	197 0.3×	535 1.3×	158	9.9k

Countries citing papers authored by Georg Seelig

Since Specialization

Citations

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

Fields of papers citing papers by Georg Seelig

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georg Seelig

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Castillo-Hair, Sebastian M., et al.. (2025). Iterative deep learning design of human enhancers exploits condensed sequence grammar to achieve cell-type specificity. Cell Systems. 16(7). 101302–101302. 5 indexed citations

Brettner, Leandra, Charles M. Roco, Alexander Rosenberg, et al.. (2024). High-throughput single-cell transcriptomics of bacteria using combinatorial barcoding. Nature Protocols. 19(10). 3048–3084. 7 indexed citations

Cyriaque, Valentine, Rodrigo Ibarra‐Chávez, Anna Kuchina, et al.. (2024). Single-cell RNA sequencing reveals plasmid constrains bacterial population heterogeneity and identifies a non-conjugating subpopulation. Nature Communications. 15(1). 5853–5853. 4 indexed citations

Groves, Benjamin, et al.. (2024). Massively parallel measurement of protein–protein interactions by sequencing using MP3-seq. Nature Chemical Biology. 20(11). 1514–1523. 6 indexed citations

Yu, Angela M, Xiuye Wang, Xueyi Teng, et al.. (2023). The anticancer compound JTE-607 reveals hidden sequence specificity of the mRNA 3′ processing machinery. Nature Structural & Molecular Biology. 30(12). 1947–1957. 7 indexed citations

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

Chen, Yuan-Jyue, et al.. (2022). A nanopore interface for higher bandwidth DNA computing. Nature Communications. 13(1). 4904–4904. 15 indexed citations

Zhang, Y, et al.. (2021). CellMeSH: probabilistic cell-type identification using indexed literature. Bioinformatics. 38(5). 1393–1402. 6 indexed citations

Linder, Johannes, et al.. (2021). Robust Digital Molecular Design of Binarized Neural Networks. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 3 indexed citations

10.

Kuchina, Anna, Leandra Brettner, Charles M. Roco, et al.. (2021). Microbial single-cell RNA sequencing by split-pool barcoding. Science. 371(6531). 183 indexed citations breakdown →

11.

Mukherjee, Sumit, Alberto Carignano, Georg Seelig, & Su‐In Lee. (2018). Identifying progressive gene network perturbation from single-cell RNA-seq data. PubMed. 2018. 5034–5040. 6 indexed citations

12.

Mukherjee, Sumit, et al.. (2018). Scalable preprocessing for sparse scRNA-seq data exploiting prior knowledge. Bioinformatics. 34(13). i124–i132. 17 indexed citations

13.

Mukherjee, Sumit, et al.. (2018). Extrinsic Noise Suppression in Micro RNA Mediated Incoherent Feedforward Loops. 4353–4359. 8 indexed citations

14.

Rosenberg, Alexander, Charles M. Roco, Richard A. Muscat, et al.. (2018). Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding. Science. 360(6385). 176–182. 877 indexed citations breakdown →

15.

Srinivas, Niranjan, et al.. (2017). Enzyme-free nucleic acid dynamical systems. Science. 358(6369). 257 indexed citations

16.

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

17.

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

18.

Chen, Yuan-Jyue, et al.. (2015). Plasmid-derived DNA Strand Displacement Gates for Implementing Chemical Reaction Networks. Journal of Visualized Experiments. 4 indexed citations

19.

Chen, Yuan-Jyue, et al.. (2015). Plasmid-derived DNA Strand Displacement Gates for Implementing Chemical Reaction Networks. Journal of Visualized Experiments. 2 indexed citations

20.

Seelig, Georg, David Soloveichik, David Y. Zhang, & Erik Winfree. (2006). Enzyme-Free Nucleic Acid Logic Circuits. Science. 314(5805). 1585–1588. 1153 indexed citations breakdown →

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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