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Plant tissue culture and regeneration

Plant tissue culture and regeneration is a research topic within Molecular Biology. Science Explorer counts 64k research works in it since 1950. 15.5% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the elicitor signal transduction pathways, genetic engineering techniques, and biotechnological approaches used to enhance the production of plant secondary metabolites. It covers topics such as Agrobacterium-mediated transformation, somatic embryogenesis, hairy root culture, and the biosynthesis of specific metabolites like terpenoid indole alkaloids.

  • Plant Secondary Metabolites
  • Agrobacterium-Mediated Transformation
  • Elicitation
  • Somatic Embryogenesis
  • Hairy Root Culture
  • Terpenoid Indole Alkaloids
  • Genetic Engineering
  • Biotechnology
  • Tissue Culture
  • Gene Expression
Research works
64k
fractional, since 1950
In the world top 10%
9.9k
per year above
Top-10% rate
15.5%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+14%
the tick is no change

Which countries lead Plant tissue culture and regeneration research?

By volume, China and India publish the most (1.7k and 1.6k works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.7k works
  2. 2 India 1.6k works
  3. 3 United States 584 works
  4. 4 Brazil 507 works
  5. 5 Indonesia 395 works
  6. 6 Türkiye 264 works
  7. 7 Russia 246 works
  8. 8 Mexico 210 works
  9. 9 Iran 206 works
  10. 10 South Korea 193 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: 29.1%India: 26.7%United States: 9.9%Brazil: 8.6%6 others listed: 25.7%29%largest
China1,717 · 29.1%India1,577 · 26.7%United States584 · 9.9%Brazil507 · 8.6%6 others listed1,514 · 25.7%

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

Which institutions lead Plant tissue culture and regeneration research?

By volume in 2022–2025, Tamil Nadu Agricultural University publishes the most Plant tissue culture and regeneration research, followed by Nanjing Agricultural University and Chinese Academy of Agricultural Sciences.

Who are the leading researchers in Plant tissue culture and regeneration?

The most-cited researchers publishing on Plant tissue culture and regeneration include Folke Skoog, Toshio Murashige and Kazuo Shinozaki.

  1. 1 Folke Skoog United States 11k citations
  2. 2 Toshio Murashige United States 11k citations
  3. 3 Kazuo Shinozaki Japan 2.7k citations
  4. 4 Anil K. Sood United States 2.6k citations

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

Where is Plant tissue culture and regeneration research done?

The largest centres of Plant tissue culture and regeneration research in 2022–2025 are Beijing (China), New Delhi (India), Nanjing (China) and Moscow (Russia). Among places with at least 20 works in it, it is an unusually large share of all research in Montecillo and Lavras.

Largest cities, 2022–2025

  1. 1 Beijing China 341 works
  2. 2 New Delhi India 152 works
  3. 3 Nanjing China 99 works
  4. 4 Moscow Russia 98 works
  5. 5 Tehran Iran 86 works
  6. 6 Coimbatore India 71 works
  7. 7 Bengaluru India 68 works
  8. 8 Guangzhou China 62 works
  9. 9 Hangzhou China 60 works
  10. 10 Kunming China 58 works

Where it is the local speciality

  1. MontecilloMX · 21.5 works30×
  2. LavrasBR · 34.7 works25×
← less than its size predictsmore →

Location quotient: how much more of its research is in Plant tissue culture and regeneration than the world average.

See Plant tissue culture and regeneration on the map

Where is the best place to study Plant tissue culture and regeneration?

Among universities, judged by research, Nanjing Agricultural University, Huazhong Agricultural University and Sanya University 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 30.27%fractional works in this node (log) →share in the world top 10% →Nanjing Agricultural University: 39, 38.8%Huazhong Agricultural University: 28, 37.5%Sanya University: 12, 40.9%Gansu Agricultural University: 18, 42.1%Punjab Agricultural University: 31, 12.1%Bidhan Chandra Krishi Viswavidyalaya: 15, 18.1%Zhejiang A & F University: 12, 45.1%Tamil Nadu Agricultural University: 48, 10.3%Dr. Yashwant Singh Parmar University of Horticulture and Forestry: 19, 14.1%China Agricultural University: 27, 43.7%Gansu Agricultural U…Sanya UniversityNanjing Agricultural…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
1 Nanjing Agricultural UniversityChina 71.638.8%11.9×39 -31.3%
2 Huazhong Agricultural UniversityChina 65.237.5%9.7×28 -52.3%
3 Sanya UniversityChina 65.040.9%11.9×12
4 Gansu Agricultural UniversityChina 63.242.1%14.6×18 -60.4%
5 Punjab Agricultural UniversityIndia 61.712.1%22.6×31 +162.2%
6 Bidhan Chandra Krishi ViswavidyalayaIndia 60.618.1%39.5×15 +555.9%
7 Zhejiang A & F UniversityChina 60.345.1%9.4×12 -58.4%
8 Tamil Nadu Agricultural UniversityIndia 60.010.3%24.9×48 +75.3%
9 Dr. Yashwant Singh Parmar University of Horticulture and ForestryIndia 59.914.1%41.9×19 +244.2%
10 China Agricultural UniversityChina 58.943.7%5.8×27 -43.4%

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 Plant tissue culture and regeneration research growing?

Output in 2018–2022 was 14% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Plant tissue culture and regeneration.

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.