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Axial and Atropisomeric Chirality Synthesis

Axial and Atropisomeric Chirality Synthesis is a research topic within Organic Chemistry. Science Explorer counts 11k research works in it since 1950. 15.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the atroposelective synthesis of axially chiral compounds, exploring topics such as atropisomerism, asymmetric synthesis, catalytic reactions, enantioselective methods, and the use of chiral ligands. The research covers various techniques including Suzuki-Miyaura coupling, oxidative coupling, and organocatalysis.

  • Atropisomerism
  • Axial Chirality
  • Asymmetric Synthesis
  • Biaryl Compounds
  • Catalytic Reactions
  • Enantioselective
  • Organocatalysis
  • Suzuki-Miyaura Coupling
  • Oxidative Coupling
  • Chiral Ligands
Research works
11k
fractional, since 1950
In the world top 10%
1.6k
per year above
Top-10% rate
15.0%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-17%
the tick is no change

Which countries lead Axial and Atropisomeric Chirality Synthesis research?

By volume, China and Japan publish the most (530 and 102 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 530 works
  2. 2 Japan 102 works
  3. 3 United States 92 works
  4. 4 India 67 works
  5. 5 Germany 54 works
  6. 6 France 42 works
  7. 7 Spain 25 works
  8. 8 United Kingdom 24 works
  9. 9 Russia 24 works
  10. 10 Italy 20 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: 54.1%Japan: 10.4%United States: 9.4%India: 6.8%6 others listed: 19.3%54%largest
China530 · 54.1%Japan102 · 10.4%United States92 · 9.4%India67 · 6.8%6 others listed189 · 19.3%

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

Which institutions lead Axial and Atropisomeric Chirality Synthesis research?

By volume in 2022–2025, Sichuan University publishes the most Axial and Atropisomeric Chirality Synthesis research, followed by Southern University of Science and Technology and Chinese Academy of Sciences.

Who are the leading researchers in Axial and Atropisomeric Chirality Synthesis?

The most-cited researchers publishing on Axial and Atropisomeric Chirality Synthesis include J. B. Singh, Barry M. Trost and E. J. Corey.

  1. 1 J. B. Singh India 4.6k citations
  2. 2 Barry M. Trost United States 3.8k citations
  3. 3 E. J. Corey United States 3.6k citations
  4. 4 Peter G. Jones Germany 3.6k citations
  5. 5 F. Albert Cotton United States 3.5k citations
  6. 6 Herbert C. Brown United States 3k citations
  7. 7 J. Fraser Stoddart United States 3k citations
  8. 8 K. N. Houk United States 2.8k citations

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

Where is Axial and Atropisomeric Chirality Synthesis research done?

The largest centres of Axial and Atropisomeric Chirality Synthesis research in 2022–2025 are Beijing (China), Shanghai (China), Hangzhou (China) and Tokyo (Japan). Among places with at least 20 works in it, it is an unusually large share of all research in Shenzhen and Hefei.

Largest cities, 2022–2025

  1. 1 Beijing China 65 works
  2. 2 Shanghai China 53 works
  3. 3 Hangzhou China 32 works
  4. 4 Tokyo Japan 31 works
  5. 5 Chengdu China 30 works
  6. 6 Shenzhen China 23 works
  7. 7 Hefei China 23 works
  8. 8 Nanjing China 22 works
  9. 9 Zhengzhou China 17 works
  10. 10 Qingdao China 16 works

Where it is the local speciality

  1. ShenzhenCN · 23.3 works6.2×
  2. HefeiCN · 22.6 works5.6×
← less than its size predictsmore →

Location quotient: how much more of its research is in Axial and Atropisomeric Chirality Synthesis than the world average.

See Axial and Atropisomeric Chirality Synthesis on the map

Where is the best place to study Axial and Atropisomeric Chirality Synthesis?

Among universities, judged by research, Southern University of Science and Technology, Qingdao University and Zhengzhou 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%60%mean 44.55%fractional works in this node (log) →share in the world top 10% →Southern University of Science and Technology: 17, 49.1%Qingdao University: 10, 54.0%Zhengzhou University: 13, 53.2%Henan Normal University: 12, 42.4%Sichuan University: 17, 32.0%University of Chinese Academy of Sciences: 10, 46.2%Zhejiang University: 10, 44.4%Guizhou University: 8, 40.8%University of Science and Technology of China: 8, 37.4%Shanghai Jiao Tong University: 8, 46.0%Qingdao UniversityZhengzhou UniversitySouthern University …Henan Normal Univers…
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 Southern University of Science and TechnologyChina 80.149.1%28.3×17
2 Qingdao UniversityChina 72.954.0%16.8×10 +88.9%
3 Zhengzhou UniversityChina 70.353.2%13.9×13 -13.8%
4 Henan Normal UniversityChina 59.042.4%54.3×12
5 Sichuan UniversityChina 54.332.0%9.4×17 -7.3%
6 University of Chinese Academy of SciencesChina 52.946.2%5.7×10 +119.2%
7 Zhejiang UniversityChina 44.044.4%4.8×10 +65.7%
8 Guizhou UniversityChina 42.740.8%14.6×8 -42.2%
9 University of Science and Technology of ChinaChina 40.737.4%6.4×8 +118.8%
10 Shanghai Jiao Tong UniversityChina 23.646.0%3.5×8 -55.1%

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 Axial and Atropisomeric Chirality Synthesis research growing?

Output in 2018–2022 was 17% lower than in 2013–2017, peaking in 2009.

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.