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Topic · Plant Science

Allelopathy and phytotoxic interactions

Allelopathy and phytotoxic interactions is a research topic within Plant Science. Science Explorer counts 18k research works in it since 1950. 21.1% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the role of allelopathy, focusing on the interactions between plants mediated by allelochemicals, root exudates, and natural products. It covers topics such as weed control, ecological impacts of invasive plants, herbicidal potential of natural compounds, and the physiological and biochemical mechanisms underlying allelopathic interactions.

  • Allelochemicals
  • Root Exudates
  • Natural Products
  • Weed Control
  • Rhizosphere
  • Invasive Plants
  • Herbicides
  • Phytotoxicity
  • Crop Protection
  • Ecological Interactions
Research works
18k
fractional, since 1950
In the world top 10%
3.8k
per year above
Top-10% rate
21.1%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+14%
the tick is no change

Which countries lead Allelopathy and phytotoxic interactions research?

By volume, China and India publish the most (584 and 392 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 584 works
  2. 2 India 392 works
  3. 3 Brazil 214 works
  4. 4 United States 204 works
  5. 5 Iran 125 works
  6. 6 Türkiye 111 works
  7. 7 Pakistan 82 works
  8. 8 Egypt 76 works
  9. 9 Italy 67 works
  10. 10 Russia 60 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: 30.5%India: 20.5%Brazil: 11.2%United States: 10.7%6 others listed: 27.2%30%largest
China584 · 30.5%India392 · 20.5%Brazil214 · 11.2%United States204 · 10.7%6 others listed522 · 27.2%

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

Which institutions lead Allelopathy and phytotoxic interactions research?

By volume in 2022–2025, National Research Centre publishes the most Allelopathy and phytotoxic interactions research, followed by Nanjing Agricultural University and Institute of Plant Protection.

By volume, 2022–2025

  1. 1 National Research CentreEgypt 16 works
  2. 2 Nanjing Agricultural UniversityChina 13 works
  3. 3 Institute of Plant ProtectionChina 13 works
  4. 4 Tamil Nadu Agricultural UniversityIndia 13 works
  5. 5 Yangzhou UniversityChina 12 works
  6. 6 Guizhou UniversityChina 12 works
  7. 7 Universidade Federal de LavrasBrazil 11 works
  8. 8 Chinese Academy of SciencesChina 11 works
  9. 9 King Saud UniversitySaudi Arabia 11 works
  10. 10 Shenyang Agricultural UniversityChina 10 works

Who are the leading researchers in Allelopathy and phytotoxic interactions?

The most-cited researchers publishing on Allelopathy and phytotoxic interactions include Ajay Singh, Muhammad Ashraf and Jeffrey B. Harborne.

  1. 1 Ajay Singh United States 2.4k citations
  2. 2 Muhammad Ashraf Pakistan 2.1k citations
  3. 3 Jeffrey B. Harborne United Kingdom 1.8k citations
  4. 4 Michaël Wink Germany 1.7k citations

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

Where is Allelopathy and phytotoxic interactions research done?

The largest centres of Allelopathy and phytotoxic interactions research in 2022–2025 are Beijing (China), Tehran (Iran), Giza (Egypt) and Nanjing (China).

Largest cities, 2022–2025

  1. 1 Beijing China 101 works
  2. 2 Tehran Iran 42 works
  3. 3 Giza Egypt 31 works
  4. 4 Nanjing China 29 works
  5. 5 Kunming China 28 works
  6. 6 New Delhi India 25 works
  7. 7 Moscow Russia 22 works
  8. 8 São Paulo Brazil 22 works
  9. 9 Lanzhou China 21 works
  10. 10 Guiyang China 21 works
See Allelopathy and phytotoxic interactions on the map

Where is the best place to study Allelopathy and phytotoxic interactions?

Among universities, judged by research, Aligarh Muslim University, Kagawa University and Nanjing Agricultural 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%50%100%mean 47.06%fractional works in this node (log) →share in the world top 10% →Aligarh Muslim University: 10, 52.1%Kagawa University: 10, 64.1%Nanjing Agricultural University: 13, 38.5%Guizhou University: 12, 56.2%Gansu Agricultural University: 8, 72.1%King Saud University: 11, 49.1%Yunnan Agricultural University: 10, 54.9%Yangzhou University: 12, 46.0%University of Agriculture Faisalabad: 9, 24.5%Tamil Nadu Agricultural University: 13, 13.1%Kagawa UniversityGuizhou UniversityAligarh Muslim Unive…Nanjing Agricultural…
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 Aligarh Muslim UniversityIndia 64.052.1%13.0×10 +81.4%
2 Kagawa UniversityJapan 58.864.1%49.9×10 -23.8%
3 Nanjing Agricultural UniversityChina 57.338.5%11.6×13 -54.7%
4 Guizhou UniversityChina 56.156.2%8.0×12 -68.3%
5 Gansu Agricultural UniversityChina 55.472.1%18.8×8 -72.8%
6 King Saud UniversitySaudi Arabia 55.349.1%4.1×11 +89.8%
7 Yunnan Agricultural UniversityChina 52.754.9%29.9×10 -52.1%
8 Yangzhou UniversityChina 50.946.0%7.6×12 -64.7%
9 University of Agriculture FaisalabadPakistan 50.624.5%20.4×9 +28.0%
10 Tamil Nadu Agricultural UniversityIndia 49.213.1%19.7×13 +46.7%

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 Allelopathy and phytotoxic interactions research growing?

Output in 2018–2022 was 14% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Allelopathy and phytotoxic interactions.

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.