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CRISPR and Genetic Engineering

CRISPR and Genetic Engineering is a research topic within Molecular Biology. Science Explorer counts 65k research works in it since 1950. 27.1% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the use of CRISPR-Cas systems for genome engineering, RNA-guided gene editing, and bacterial immunity. It covers topics such as Cas9 nucleases, off-target effects, multiplex genome editing, and genetic screening using CRISPR technology.

  • Genome Engineering
  • RNA-Guided
  • Cas9
  • Nucleases
  • Gene Editing
  • CRISPR Systems
  • Multiplex Genome Editing
  • Off-Target Effects
  • Bacterial Immunity
  • Genetic Screening
Research works
65k
fractional, since 1950
In the world top 10%
17k
per year above
Top-10% rate
27.1%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+42%
the tick is no change

Which countries lead CRISPR and Genetic Engineering research?

By volume, the United States and China publish the most (3.6k and 3.3k works in 2022–2025).

By volume, 2022–2025

  1. 1 United States 3.6k works
  2. 2 China 3.3k works
  3. 3 India 858 works
  4. 4 United Kingdom 553 works
  5. 5 Germany 550 works
  6. 6 Japan 536 works
  7. 7 South Korea 356 works
  8. 8 France 343 works
  9. 9 Canada 310 works
  10. 10 Russia 280 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.

United States: 33.6%China: 30.8%India: 8.1%United Kingdom: 5.2%6 others listed: 22.3%34%largest
United States3,578 · 33.6%China3,272 · 30.8%India858 · 8.1%United Kingdom553 · 5.2%6 others listed2,376 · 22.3%

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

Which institutions lead CRISPR and Genetic Engineering research?

By volume in 2022–2025, Chinese Academy of Sciences publishes the most CRISPR and Genetic Engineering research, followed by Harvard University and Stanford University.

By volume, 2022–2025

  1. 1 Chinese Academy of Sciences China 75 works
  2. 2 Harvard University United States 65 works
  3. 3 Stanford University United States 57 works
  4. 4 University of North Carolina at Chapel Hill United States 51 works
  5. 5 Zhejiang University China 49 works
  6. 6 University of Chinese Academy of Sciences China 49 works
  7. 7 University of California San Diego United States 49 works
  8. 8 Cornell University United States 47 works
  9. 9 Shanghai Jiao Tong University China 45 works
  10. 10 Chinese Academy of Agricultural Sciences China 45 works

Who are the leading researchers in CRISPR and Genetic Engineering?

The most-cited researchers publishing on CRISPR and Genetic Engineering include Eric S. Lander and Todd R. Golub.

  1. 1 Eric S. Lander 8.5k citations
  2. 2 Todd R. Golub 6.8k citations

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

Where is CRISPR and Genetic Engineering research done?

The largest centres of CRISPR and Genetic Engineering research in 2022–2025 are Beijing (China), Shanghai (China), Guangzhou (China) and Wuhan (China). Among places with at least 20 works in it, it is an unusually large share of all research in Chevy Chase.

Largest cities, 2022–2025

  1. 1 Beijing China 659 works
  2. 2 Shanghai China 282 works
  3. 3 Guangzhou China 215 works
  4. 4 Wuhan China 179 works
  5. 5 Cambridge United States 175 works
  6. 6 London United Kingdom 172 works
  7. 7 New York United States 168 works
  8. 8 Paris France 166 works
  9. 9 Tokyo Japan 165 works
  10. 10 Hangzhou China 162 works

Where it is the local speciality

  1. Chevy ChaseUS · 32.2 works28×
← less than its size predictsmore →

Location quotient: how much more of its research is in CRISPR and Genetic Engineering than the world average.

See CRISPR and Genetic Engineering on the map

Where is the best place to study CRISPR and Genetic Engineering?

Among universities, judged by research, Center for Life Sciences, Huazhong Agricultural University and University of Massachusetts Chan Medical School 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%60%mean 37.45%fractional works in this node (log) →share in the world top 10% →Center for Life Sciences: 22, 48.7%Huazhong Agricultural University: 44, 34.7%University of Massachusetts Chan Medical School: 28, 37.3%Innovative Genomics Institute: 11, 47.6%Harvard University: 65, 37.2%University of Chinese Academy of Sciences: 49, 35.9%ShanghaiTech University: 22, 26.3%Rice University: 18, 38.9%China Agricultural University: 41, 34.4%Stanford University: 57, 33.5%Center for Life Scie…Innovative Genomics …University of Massac…Huazhong Agricultura…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1Center for Life Sciences China 79.548.7%31.5×22 +210.7%
2Huazhong Agricultural University China 70.334.7%9.9×44 +116.6%
3University of Massachusetts Chan Medical School United States 64.637.3%14.0×28 +67.3%
4Innovative Genomics Institute United States 63.147.6%170.9×11
5Harvard University United States 57.637.2%4.0×65 +35.1%
6University of Chinese Academy of Sciences China 56.735.9%2.3×49 +336.5%
7ShanghaiTech University China 54.426.3%9.2×22
8Rice University United States 54.338.9%6.2×18 +91.4%
9China Agricultural University China 53.034.4%5.6×41 +36.3%
10Stanford University United States 52.833.5%3.6×57 +54.4%

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 CRISPR and Genetic Engineering research growing?

Output in 2018–2022 was 42% higher than in 2013–2017, peaking in 2022. The fastest-growing topics are CRISPR and Genetic Engineering.

19801990200020102020
grewheldshrank

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.