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Inorganic Chemistry and Materials

Inorganic Chemistry and Materials is a research topic within Inorganic Chemistry. Science Explorer counts 29k research works in it since 1950. 12.2% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the synthesis, characterization, and properties of inorganic cluster compounds, including oxynitride perovskites, metallic cluster complexes, and nitride materials. The research covers topics such as solid-state synthesis, photophysical and electronic properties, crystal structure determination, and the development of luminescent materials.

  • Inorganic Clusters
  • Oxynitride Perovskites
  • Metallic Cluster Complexes
  • Solid-State Synthesis
  • Photophysical Properties
  • Crystal Structure
  • Electronic Properties
  • Luminescent Materials
  • Transition-Metal Clusters
  • Nitride Materials
Research works
29k
fractional, since 1950
In the world top 10%
3.5k
per year above
Top-10% rate
12.2%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-4%
the tick is no change

Which countries lead Inorganic Chemistry and Materials research?

By volume, China and the United States publish the most (1k and 350 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1k works
  2. 2 United States 350 works
  3. 3 Germany 290 works
  4. 4 Russia 185 works
  5. 5 Japan 159 works
  6. 6 India 156 works
  7. 7 France 98 works
  8. 8 United Kingdom 80 works
  9. 9 South Korea 64 works
  10. 10 Spain 45 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: 42.3%United States: 14.2%Germany: 11.7%Russia: 7.5%6 others listed: 24.3%42%largest
China1,046 · 42.3%United States350 · 14.2%Germany290 · 11.7%Russia185 · 7.5%6 others listed602 · 24.3%

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

Which institutions lead Inorganic Chemistry and Materials research?

By volume in 2022–2025, Chinese Academy of Sciences publishes the most Inorganic Chemistry and Materials research, followed by Nikolaev Institute of Inorganic Chemistry and University of Chinese Academy of Sciences.

Who are the leading researchers in Inorganic Chemistry and Materials?

The most-cited researchers publishing on Inorganic Chemistry and Materials include Kenji Watanabe, Takashi Taniguchi and John B. Goodenough.

  1. 1 Kenji Watanabe Japan 6.4k citations
  2. 2 Takashi Taniguchi Japan 6.2k citations
  3. 3 John B. Goodenough United States 6.2k citations
  4. 4 David J. Singh United States 5.1k citations

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

Where is Inorganic Chemistry and Materials research done?

The largest centres of Inorganic Chemistry and Materials research in 2022–2025 are Beijing (China), Moscow (Russia), Shanghai (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Münster, Novosibirsk and Stuttgart.

Largest cities, 2022–2025

  1. 1 Beijing China 182 works
  2. 2 Moscow Russia 60 works
  3. 3 Shanghai China 56 works
  4. 4 Nanjing China 48 works
  5. 5 Novosibirsk Russia 41 works
  6. 6 Xi'an China 39 works
  7. 7 Hefei China 35 works
  8. 8 Changchun China 35 works
  9. 9 Tokyo Japan 35 works
  10. 10 Wuhan China 34 works

Where it is the local speciality

  1. MünsterDE · 23.3 works14×
  2. NovosibirskRU · 41.2 works12×
  3. StuttgartDE · 20.3 works7.9×
← less than its size predictsmore →

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

See Inorganic Chemistry and Materials on the map

Where is the best place to study Inorganic Chemistry and Materials?

Among universities, judged by research, University of Chinese Academy of Sciences, Jilin University and Southern University of Science and Technology 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 19.01%fractional works in this node (log) →share in the world top 10% →University of Chinese Academy of Sciences: 24, 22.0%Jilin University: 22, 13.9%Southern University of Science and Technology: 10, 23.9%Karlsruhe Institute of Technology: 15, 10.2%Nankai University: 13, 17.5%Huazhong University of Science and Technology: 12, 25.1%University of Münster: 19, 4.5%Philipps University of Marburg: 10, 12.2%University of Science and Technology Beijing: 12, 26.3%Tsinghua University: 10, 34.5%Southern University …University of Chines…Jilin UniversityKarlsruhe Institute …
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 University of Chinese Academy of SciencesChina 52.022.0%4.9×24 +74.3%
2 Jilin UniversityChina 49.713.9%7.7×22 +58.5%
3 Southern University of Science and TechnologyChina 47.423.9%6.1×10
4 Karlsruhe Institute of TechnologyGermany 45.810.2%9.4×15 -20.1%
5 Nankai UniversityChina 44.917.5%6.5×13 +88.8%
6 Huazhong University of Science and TechnologyChina 44.925.1%2.5×12 +211.5%
7 University of MünsterGermany 43.84.5%18.4×19 -23.4%
8 Philipps University of MarburgGermany 43.812.2%14.4×10 +8.9%
9 University of Science and Technology BeijingChina 43.126.3%5.0×12 +34.7%
10 Tsinghua UniversityChina 40.034.5%1.8×10 +15.9%

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 Inorganic Chemistry and Materials research growing?

Output in 2018–2022 was 4% lower than in 2013–2017, peaking in 2006.

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.