Georg Seelig
- Molecular Biology top 0.5%
- Advanced biosensing and bioanalysis techniques 33
- RNA and protein synthesis mechanisms 19
- DNA and Biological Computing 17
- RNA Research and Splicing 16
- DNA and Nucleic Acid Chemistry 14
- RNA Interference and Gene Delivery 9
- RNA modifications and cancer 9
- Single-cell and spatial transcriptomics 7
- Biomedical Engineering top 1%
- Biophysics top 1%
- Cancer Research top 5%
- Co-authors
- David Y. ZhangErik WinfreeDavid SoloveichikRichard A. MuscatYuan-Jyue ChenAlexander RosenbergBenjamin GrovesRandolph Lopez
- Journals
- Science (5 papers)Cell (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Georg Seelig
67 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Molecular Biology 7.7k
- Biomedical Engineering 1.6k
- Biophysics 208
- Computational Theory and Mathematics 413
- Cancer Research 380
Countries citing papers authored by Georg Seelig
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
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
The 25 scholars most cited alongside Georg Seelig, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 5 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 6 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 39 | |
| 7 | 2022 | 15 | |
| 8 | 2021 | 6 | |
| 9 | 2021 | 3 | |
| 10 | Microbial single-cell RNA sequencing by split-pool barcodingbreakdown → | 2021 | 183 |
| 11 | 2018 | 6 | |
| 12 | 2018 | 17 | |
| 13 | 2018 | 8 | |
| 14 | Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcodingbreakdown → | 2018 | 877 |
| 15 | 2017 | 257 | |
| 16 | 2016 | 41 | |
| 17 | 2016 | 33 | |
| 18 | 2015 | 4 | |
| 19 | 2015 | 2 | |
| 20 | Enzyme-Free Nucleic Acid Logic Circuitsbreakdown → | 2006 | 1153 |
About Georg Seelig
Georg Seelig is a scholar working on Molecular Biology, Ecology and Bioengineering, having authored 67 papers that have together received 8.5k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (33 papers), RNA and protein synthesis mechanisms (19 papers), DNA and Biological Computing (17 papers), RNA Research and Splicing (16 papers), DNA and Nucleic Acid Chemistry (14 papers), RNA Interference and Gene Delivery (9 papers), RNA modifications and cancer (9 papers) and Single-cell and spatial transcriptomics (7 papers). The work is most often cited by research in Molecular Biology (7.7k citations), Biomedical Engineering (1.6k citations) and Biophysics (208 citations). Georg Seelig has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent 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. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.