Science Explorer Interactive view Map

Carbohydrate Chemistry and Synthesis

Carbohydrate Chemistry and Synthesis is a research topic within Organic Chemistry. Science Explorer counts 56k research works in it since 1950. 15.6% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the chemical glycobiology, focusing on glycosidase inhibitors, oligosaccharide synthesis, carbohydrate vaccines, glycoprotein synthesis, iminosugars, enzymatic glycoside synthesis, glycosylation mechanisms, carbohydrate-based drug design, automated synthesis, and anticancer vaccines.

  • Glycosidase Inhibitors
  • Oligosaccharide Synthesis
  • Carbohydrate Vaccines
  • Glycoprotein Synthesis
  • Iminosugars
  • Enzymatic Glycoside Synthesis
  • Glycosylation Mechanisms
  • Carbohydrate-Based Drug Design
  • Automated Synthesis
  • Anticancer Vaccines
Research works
56k
fractional, since 1950
In the world top 10%
8.8k
per year above
Top-10% rate
15.6%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-20%
the tick is no change

Which countries lead Carbohydrate Chemistry and Synthesis research?

By volume, China and the United States publish the most (826 and 505 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 826 works
  2. 2 United States 505 works
  3. 3 India 300 works
  4. 4 Japan 265 works
  5. 5 Germany 147 works
  6. 6 France 131 works
  7. 7 United Kingdom 106 works
  8. 8 Russia 98 works
  9. 9 Italy 81 works
  10. 10 Canada 77 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: 32.6%United States: 19.9%India: 11.8%Japan: 10.4%6 others listed: 25.3%33%largest
China826 · 32.6%United States505 · 19.9%India300 · 11.8%Japan265 · 10.4%6 others listed641 · 25.3%

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

Which institutions lead Carbohydrate Chemistry and Synthesis research?

By volume in 2022–2025, Jiangnan University publishes the most Carbohydrate Chemistry and Synthesis research, followed by Chinese Academy of Sciences and Centre National de la Recherche Scientifique.

Who are the leading researchers in Carbohydrate Chemistry and Synthesis?

The most-cited researchers publishing on Carbohydrate Chemistry and Synthesis include Judith A. K. Howard, George M. Whitesides and Barry M. Trost.

  1. 1 Judith A. K. Howard United Kingdom 5.5k citations
  2. 2 George M. Whitesides United States 4.8k citations
  3. 3 Barry M. Trost United States 3.8k citations
  4. 4 E. J. Corey United States 3.6k citations
  5. 5 Peter G. Jones Germany 3.6k citations

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

Where is Carbohydrate Chemistry and Synthesis research done?

The largest centres of Carbohydrate Chemistry and Synthesis research in 2022–2025 are Beijing (China), Shanghai (China), Tokyo (Japan) and Paris (France). Among places with at least 20 works in it, it is an unusually large share of all research in Wuxi and Varanasi.

Largest cities, 2022–2025

  1. 1 Beijing China 135 works
  2. 2 Shanghai China 80 works
  3. 3 Tokyo Japan 66 works
  4. 4 Paris France 49 works
  5. 5 Nanjing China 48 works
  6. 6 Moscow Russia 45 works
  7. 7 Wuxi China 36 works
  8. 8 Guangzhou China 34 works
  9. 9 Wuhan China 32 works
  10. 10 Hangzhou China 31 works

Where it is the local speciality

  1. WuxiCN · 35.7 works11×
  2. VaranasiIN · 20.9 works6.7×
← less than its size predictsmore →

Location quotient: how much more of its research is in Carbohydrate Chemistry and Synthesis than the world average.

See Carbohydrate Chemistry and Synthesis on the map

Where is the best place to study Carbohydrate Chemistry and Synthesis?

Among universities, judged by research, Jiangnan University, University of Georgia and Academy of Scientific and Innovative Research 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%10%20%30%mean 21.69%fractional works in this node (log) →share in the world top 10% →Jiangnan University: 30, 19.5%University of Georgia: 16, 28.0%Academy of Scientific and Innovative Research: 17, 9.7%Banaras Hindu University: 15, 24.8%Freie Universität Berlin: 11, 25.7%Leiden University: 9, 28.3%China Pharmaceutical University: 12, 22.7%University of Chinese Academy of Sciences: 23, 20.4%Ocean University of China: 14, 15.4%East China University of Science and Technology: 12, 22.4%University of GeorgiaBanaras Hindu Univer…Jiangnan UniversityAcademy of Scientifi…
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 Jiangnan UniversityChina 70.419.5%14.9×30 +109.3%
2 University of GeorgiaUnited States 62.028.0%11.1×16 -9.8%
3 Academy of Scientific and Innovative ResearchIndia 59.29.7%16.4×17 +207.4%
4 Banaras Hindu UniversityIndia 55.524.8%9.4×15 +10.0%
5 Freie Universität BerlinGermany 51.925.7%8.9×11 -30.7%
6 Leiden UniversityNetherlands 50.528.3%7.8×9 -1.4%
7 China Pharmaceutical UniversityChina 49.022.7%17.6×12 -53.9%
8 University of Chinese Academy of SciencesChina 46.520.4%4.1×23 +42.2%
9 Ocean University of ChinaChina 43.015.4%8.2×14 -13.2%
10 East China University of Science and TechnologyChina 41.222.4%7.0×12 -17.8%

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 Carbohydrate Chemistry and Synthesis research growing?

Output in 2018–2022 was 20% lower than in 2013–2017, peaking in 2000.

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.