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RNA Interference and Gene Delivery

RNA Interference and Gene Delivery is a research topic within Molecular Biology. Science Explorer counts 83k research works in it since 1950. 23.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the mechanisms, delivery methods, and therapeutic applications of RNA interference (RNAi) in mammalian cells. It covers topics such as siRNA delivery, gene silencing, non-viral vectors, cell-penetrating peptides, lipid nanoparticles, and the potential of RNAi for gene therapy. The research also delves into the challenges and future directions of RNAi-based therapeutics.

  • RNA Interference
  • siRNA Delivery
  • Gene Silencing
  • Non-viral Vectors
  • Therapeutic RNAi
  • Cell-penetrating Peptides
  • Lipid Nanoparticles
  • siRNA Therapeutics
  • Gene Therapy
  • Nucleic Acid Delivery
Research works
83k
fractional, since 1950
In the world top 10%
20k
per year above
Top-10% rate
23.9%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+5%
the tick is no change

Which countries lead RNA Interference and Gene Delivery research?

By volume, China and the United States publish the most (3.9k and 2.4k works in 2022–2025).

By volume, 2022–2025

  1. 1 China 3.9k works
  2. 2 United States 2.4k works
  3. 3 India 955 works
  4. 4 Japan 563 works
  5. 5 Germany 445 works
  6. 6 Iran 375 works
  7. 7 South Korea 368 works
  8. 8 United Kingdom 324 works
  9. 9 Italy 289 works
  10. 10 France 273 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: 39.3%United States: 24.2%India: 9.7%Japan: 5.7%6 others listed: 21.0%39%largest
China3,873 · 39.3%United States2,387 · 24.2%India955 · 9.7%Japan563 · 5.7%6 others listed2,074 · 21.0%

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

Which institutions lead RNA Interference and Gene Delivery research?

By volume in 2022–2025, Sichuan University publishes the most RNA Interference and Gene Delivery research, followed by Shanghai Jiao Tong University and Chinese Academy of Sciences.

Who are the leading researchers in RNA Interference and Gene Delivery?

The most-cited researchers publishing on RNA Interference and Gene Delivery include Thomas D. Schmittgen, Hua Zhang and Amirhossein Sahebkar.

  1. 1 Thomas D. Schmittgen United States 19k citations
  2. 2 Hua Zhang Singapore 5.9k citations
  3. 3 Amirhossein Sahebkar Iran 5.6k citations
  4. 4 Wei Huang China 5.5k citations
  5. 5 Chad A. Mirkin United States 4.6k citations
  6. 6 Guido Kroemer France 4.2k citations
  7. 7 Róbert Langer United States 4.2k citations

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

Where is RNA Interference and Gene Delivery research done?

The largest centres of RNA Interference and Gene Delivery research in 2022–2025 are Beijing (China), Shanghai (China), Guangzhou (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Chengdu.

Largest cities, 2022–2025

  1. 1 Beijing China 523 works
  2. 2 Shanghai China 371 works
  3. 3 Guangzhou China 240 works
  4. 4 Nanjing China 213 works
  5. 5 Hangzhou China 181 works
  6. 6 Seoul South Korea 178 works
  7. 7 Wuhan China 166 works
  8. 8 Tokyo Japan 162 works
  9. 9 Chengdu China 157 works
  10. 10 Tehran Iran 145 works

Where it is the local speciality

  1. Chengdu22.3 works9.9×
← less than its size predictsmore →

Location quotient: how much more of its research is in RNA Interference and Gene Delivery than the world average.

See RNA Interference and Gene Delivery on the map

Where is the best place to study RNA Interference and Gene Delivery?

Among universities, judged by research, Center for Life Sciences, Mashhad University of Medical Sciences 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%mean 36.74%fractional works in this node (log) →share in the world top 10% →Center for Life Sciences: 8, 43.3%Mashhad University of Medical Sciences: 30, 26.1%University of Massachusetts Chan Medical School: 20, 41.3%Shenyang Pharmaceutical University: 27, 34.5%Tabriz University of Medical Sciences: 21, 32.5%China Pharmaceutical University: 37, 27.3%Jamia Hamdard: 13, 39.7%Sichuan University: 80, 46.4%Southwest University: 39, 39.2%University of Chinese Academy of Sciences: 48, 37.1%Center for Life Scie…University of Massac…Shenyang Pharmaceuti…Mashhad University o…
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
1 Center for Life SciencesChina 64.743.3%12.6×8 +204.5%
2 Mashhad University of Medical SciencesIran 64.226.1%10.3×30 +341.2%
3 University of Massachusetts Chan Medical SchoolUnited States 61.041.3%10.6×20 +75.9%
4 Shenyang Pharmaceutical UniversityChina 58.534.5%17.0×27 +72.9%
5 Tabriz University of Medical SciencesIran 58.232.5%7.5×21 +263.2%
6 China Pharmaceutical UniversityChina 56.127.3%14.2×37 +41.7%
7 Jamia HamdardIndia 55.539.7%11.7×13 +35.1%
8 Sichuan UniversityChina 54.546.4%3.9×80 +4.2%
9 Southwest UniversityChina 53.839.2%5.8×39 +69.2%
10 University of Chinese Academy of SciencesChina 48.837.1%2.4×48 +112.9%

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 RNA Interference and Gene Delivery research growing?

Output in 2018–2022 was 5% higher than in 2013–2017, peaking in 2024. The fastest-growing topics are RNA Interference and Gene Delivery.

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.