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Topic · Molecular Biology

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. 10.1% 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%
1.7k
per year above
Top-10% rate
10.1%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+17%
the tick is no change
Largest producer
China
34% of the 10 largest, 2022-now
DNA and Biological Computing

Which countries lead DNA and Biological Computing research?

By volume, China and the United States publish the most (657 and 376 works in 2022-now).

By volume, 2022-now

  1. 1 China 657 works
  2. 2 United States 376 works
  3. 3 India 275 works
  4. 4 Germany 143 works
  5. 5 France 108 works
  6. 6 Japan 94 works
  7. 7 United Kingdom 80 works
  8. 8 Italy 66 works
  9. 9 Israel 63 works
  10. 10 Russia 62 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.

China: 34.1%United States: 19.6%India: 14.3%Germany: 7.4%6 others listed: 24.6%34%largest
China657 · 34.1%United States376 · 19.6%India275 · 14.3%Germany143 · 7.4%6 others listed474 · 24.6%

Shares of the rows listed above, not of the whole node.

Which institutions lead DNA and Biological Computing research?

By volume in 2022-now, Centre National de la Recherche Scientifique publishes the most DNA and Biological Computing research, followed by Technion – Israel Institute of Technology and Chinese Academy of Sciences.

By volume, 2022-now

  1. 1 Centre National de la Recherche ScientifiqueFrance 42 works
  2. 2 Technion – Israel Institute of TechnologyIsrael 30 works
  3. 3 Chinese Academy of SciencesChina 27 works
  4. 4 Shanghai Jiao Tong UniversityChina 19 works
  5. 5 Technical University of MunichGermany 18 works
  6. 6 Shandong Normal UniversityChina 16 works
  7. 7 Southeast UniversityChina 16 works
  8. 8 Zhengzhou University of Light IndustryChina 16 works
  9. 9 Russian Academy of SciencesRussia 13 works
  10. 10 Beijing University of Posts and TelecommunicationsChina 12 works

Who are the leading researchers in DNA and Biological Computing?

The most-cited researchers publishing on DNA and Biological Computing include George M. Whitesides, Mark Gerstein and Huanming Yang.

  1. 1 George M. Whitesides United States 267k citations
  2. 2 Mark Gerstein United States 250k citations
  3. 3 Huanming Yang China 246k citations
  4. 4 Michael Snyder United States 224k citations
  5. 5 David H. Haussler United States 209k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in DNA and Biological Computing?

The most cited paper in DNA and Biological Computing is "A method for obtaining digital signatures and public-key cryptosystems" (Ronald L. Rivest, Adi Shamir, Leonard M. Adleman, 1983), with 13,115 citations. Next come "Reducibility among Combinatorial Problems" (11,108) and "Channel Polarization: A Method for Constructing Capacity-Achieving Codes for Symmetric Binary-Input Memoryless Channels" (4,564).

Most cited papers
#PaperReleasedCitations
1 A method for obtaining digital signatures and public-key cryptosystems Ronald L. Rivest, Adi Shamir, Leonard M. Adleman · Communications of the ACM 1983 13,115
2 Reducibility among Combinatorial Problems Richard M. Karp Book chapter 1972 11,108
3 Channel Polarization: A Method for Constructing Capacity-Achieving Codes for Symmetric Binary-Input Memoryless Channels Erdal Arıkan · IEEE Transactions on Information Theory Open access 16 Jun 2009 4,564
4 Molecular Computation of Solutions to Combinatorial Problems Leonard M. Adleman · Science 11 Nov 1994 4,482
5 Untraceable electronic mail, return addresses, and digital pseudonyms David Chaum · Communications of the ACM Open access Feb 1981 4,322
All 100 most cited papers, with filters and sorting

Where is DNA and Biological Computing research done?

The largest centres of DNA and Biological Computing research in 2022-now are Beijing (China), Shanghai (China), Nanjing (China) and Chengdu (China). Among places with at least 20 works in it, it is an unusually large share of all research in Haifa.

Largest cities, 2022-now

  1. 1 BeijingChina 103 works
  2. 2 ShanghaiChina 49 works
  3. 3 NanjingChina 42 works
  4. 4 ChengduChina 41 works
  5. 5 ChennaiIndia 36 works
  6. 6 ParisFrance 35 works
  7. 7 GuangzhouChina 35 works
  8. 8 HaifaIsrael 32 works
  9. 9 TokyoJapan 31 works
  10. 10 SeoulSouth Korea 30 works

Where it is the local speciality

  1. HaifaIL · 31.8 works17×
← less than its size predicts1×more →

Location quotient: how much more of its research is in DNA and Biological Computing than the world average.

See DNA and Biological Computing on the map

Where is the best place to study DNA and Biological Computing?

Among universities, judged by research, Technion – Israel Institute of Technology, Shanghai Jiao Tong University and Zhengzhou University of Light Industry 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.

0%20%40%mean 24.58%fractional works in this field (log) →share of work in the world top 10% →Shanghai Jiao Tong U…Zhengzhou University…Technion – Israel In…Technical University…
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Technion – Israel Institute of TechnologyIsrael 73.817.4%34.4×30 +89.1%
2Shanghai Jiao Tong UniversityChina 65.132.3%2.9×19 +208.5%
3Zhengzhou University of Light IndustryChina 61.327.0%43.6×16 +65.2%
4Technical University of MunichGermany 57.312.6%8.8×18 +55.9%
5Tianjin UniversityChina 56.930.5%3.9×11 +167.5%
6Xihua UniversityChina 55.734.3%26.5×10 -21.3%
7Southeast UniversityChina 52.514.8%4.8×16 +65.3%
8Hunan UniversityChina 49.632.8%5.0×8 +56.6%
9Universidad de SevillaSpain 45.622.2%8.6×11 -32.6%
10Dalian University of TechnologyChina 44.521.9%4.0×9 +6.9%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in DNA and Biological Computing, country by country

Is DNA and Biological Computing research growing?

Output in 2022-2025 was 17% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are DNA and Biological Computing.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is DNA and Biological Computing as a percentage of every work published that year, 0.012% in 2024.

still counting0.010%0.020%0.030%DNA and Biological Computing0.012% in 202519801990200020102020

Fractional works of DNA and Biological Computing over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%DNA and Biological Computing10.1% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

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.

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