DNA and Biological Computing
DNA and Biological Computing is a research topic within Molecular Biology. Science Explorer counts 17k research works in it since 1952. 13.1% of them reached the world's top 10% most cited for their field and year.
This cluster of papers explores the advancements in DNA-based computing, molecular computation, and data storage techniques using nucleic acids. It covers topics such as spiking neural P systems, membrane computing, error-correcting codes for DNA data storage, genetic algorithms, and the potential of DNA as a medium for digital data storage. The research also delves into the challenges and future prospects of utilizing DNA for information processing and storage.
- DNA Computing
- Molecular Computation
- Data Storage
- Spiking Neural P Systems
- Membrane Computing
- Error-Correcting Codes
- Biological Information Storage
- Nucleic Acid Memory
- Genetic Algorithms
- Digital Data Storage
- Research works
- 17k fractional, since 1952
- In the world top 10%
- 2.2k per year above
- Top-10% rate
- 13.1% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- -7% the tick is no change
Which countries lead DNA and Biological Computing research?
By volume, China and the United States publish the most (582 and 322 works in 2022–2025).
By volume, 2022–2025
- 1 China 582 works
- 2 United States 322 works
- 3 India 250 works
- 4 Germany 124 works
- 5 France 97 works
- 6 Japan 86 works
- 7 United Kingdom 69 works
- 8 Israel 59 works
- 9 Italy 59 works
- 10 Russia 59 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead DNA and Biological Computing research?
By volume in 2022–2025, Technion – Israel Institute of Technology publishes the most DNA and Biological Computing research, followed by Technical University of Munich and Centre National de la Recherche Scientifique.
By volume, 2022–2025
- 1 Technion – Israel Institute of TechnologyIsrael 28 works
- 2 Technical University of MunichGermany 17 works
- 3 Centre National de la Recherche ScientifiqueFrance 16 works
- 4 Zhengzhou University of Light IndustryChina 14 works
- 5 Shandong Normal UniversityChina 14 works
- 6 Shanghai Jiao Tong UniversityChina 13 works
- 7 Southeast UniversityChina 12 works
- 8 Beijing University of Posts and TelecommunicationsChina 11 works
- 9 Universidad de SevillaSpain 11 works
- 10 Justus-Liebig-Universität GießenGermany 11 works
Who are the leading researchers in DNA and Biological Computing?
The most-cited researchers publishing on DNA and Biological Computing include H. Vincent Poor, Dan Boneh and Ronald L. Rivest.
- 1 H. Vincent Poor United States 9.5k citations
- 2 Dan Boneh United States 7.5k citations
- 3 Ronald L. Rivest United States 7.3k citations
- 4 Leonard M. Adleman United States 6.7k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is DNA and Biological Computing research done?
The largest centres of DNA and Biological Computing research in 2022–2025 are Beijing (China), Shanghai (China), Chengdu (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Haifa.
Largest cities, 2022–2025
Where it is the local speciality
- HaifaIL · 30.4 works18×
Location quotient: how much more of its research is in DNA and Biological Computing than the world average.
Where is the best place to study DNA and Biological Computing?
Among universities, judged by research, Technion – Israel Institute of Technology, Xihua University and Technical University of Munich score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Technion – Israel Institute of TechnologyIsrael | 72.5 | 16.0% | 36.6× | 28 | -1.2% |
| 2 | Xihua UniversityChina | 64.6 | 20.8% | 23.3× | 9 | +135.2% |
| 3 | Technical University of MunichGermany | 61.8 | 8.4% | 9.0× | 17 | +164.5% |
| 4 | Universidad de SevillaSpain | 57.1 | 19.7% | 9.1× | 11 | -30.0% |
| 5 | Zhengzhou University of Light IndustryChina | 51.0 | 9.2% | 39.4× | 14 | +52.3% |
| 6 | Shandong Normal UniversityChina | 46.8 | 5.3% | 24.1× | 14 | +66.5% |
| 7 | Beijing University of Posts and TelecommunicationsChina | 45.4 | 13.6% | 7.9× | 11 | +14.5% |
| 8 | Shanghai Jiao Tong UniversityChina | 45.3 | 23.7% | 2.7× | 14 | -37.2% |
| 9 | Justus-Liebig-Universität GießenGermany | 42.5 | 5.7% | 20.9× | 11 | +5.0% |
| 10 | Southeast UniversityChina | 40.7 | 7.8% | 3.9× | 12 | +195.5% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is DNA and Biological Computing research growing?
Output in 2018–2022 was 7% lower than in 2013–2017, peaking in 2025. The fastest-growing topics are DNA and Biological Computing.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.