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Inorganic Fluorides and Related Compounds

Inorganic Fluorides and Related Compounds is a research topic within Inorganic Chemistry. Science Explorer counts 38k research works in it since 1950. 13.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the chemistry of noble gas compounds, particularly focusing on their interactions with fluoride ions, metal fluorides, Lewis acidity, and transition metal hexafluorides. It also delves into the use of solid state NMR and matrix isolation spectroscopy to study these compounds, as well as their applications in high surface area materials and fluoride ion batteries.

  • Noble Gas Compounds
  • Fluoride Ion Batteries
  • Metal Fluorides
  • Lewis Acidity
  • Xenon Chemistry
  • Solid State NMR
  • Matrix Isolation Spectroscopy
  • Transition Metal Hexafluorides
  • High Surface Area Materials
  • Ionic Conductivity
Research works
38k
fractional, since 1950
In the world top 10%
5.3k
per year above
Top-10% rate
13.9%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-11%
the tick is no change

Which countries lead Inorganic Fluorides and Related Compounds research?

By volume, China and the United States publish the most (990 and 340 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 990 works
  2. 2 United States 340 works
  3. 3 Russia 286 works
  4. 4 Germany 189 works
  5. 5 Japan 166 works
  6. 6 India 146 works
  7. 7 France 132 works
  8. 8 United Kingdom 88 works
  9. 9 South Korea 54 works
  10. 10 Italy 50 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: 40.5%United States: 13.9%Russia: 11.7%Germany: 7.7%6 others listed: 26.1%41%largest
China990 · 40.5%United States340 · 13.9%Russia286 · 11.7%Germany189 · 7.7%6 others listed637 · 26.1%

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

Which institutions lead Inorganic Fluorides and Related Compounds research?

By volume in 2022–2025, Chinese Academy of Sciences publishes the most Inorganic Fluorides and Related Compounds research, followed by University of Chinese Academy of Sciences and Centre National de la Recherche Scientifique.

Who are the leading researchers in Inorganic Fluorides and Related Compounds?

The most-cited researchers publishing on Inorganic Fluorides and Related Compounds include John A. Pople, John P. Perdew and M. Villa.

  1. 1 John A. Pople United States 11k citations
  2. 2 John P. Perdew United States 9.9k citations
  3. 3 M. Villa United States 6.8k citations
  4. 4 Fujio Izumi Japan 5.8k citations

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

Where is Inorganic Fluorides and Related Compounds research done?

The largest centres of Inorganic Fluorides and Related Compounds 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 Yekaterinburg and Novosibirsk.

Largest cities, 2022–2025

  1. 1 Beijing China 168 works
  2. 2 Moscow Russia 117 works
  3. 3 Shanghai China 69 works
  4. 4 Nanjing China 40 works
  5. 5 Paris France 38 works
  6. 6 Tokyo Japan 37 works
  7. 7 Tianjin China 37 works
  8. 8 Wuhan China 36 works
  9. 9 Berlin Germany 35 works
  10. 10 Xi'an China 34 works

Where it is the local speciality

  1. YekaterinburgRU · 25.3 works9.2×
  2. NovosibirskRU · 29.7 works8.5×
← less than its size predictsmore →

Location quotient: how much more of its research is in Inorganic Fluorides and Related Compounds than the world average.

See Inorganic Fluorides and Related Compounds on the map

Where is the best place to study Inorganic Fluorides and Related Compounds?

Among universities, judged by research, University of Chinese Academy of Sciences, Nankai University and Tianjin University of 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%10%20%30%mean 16.81%fractional works in this node (log) →share in the world top 10% →University of Chinese Academy of Sciences: 36, 25.3%Nankai University: 10, 23.7%Tianjin University of Technology: 8, 19.3%St Petersburg University: 18, 7.8%Freie Universität Berlin: 19, 4.7%Philipps University of Marburg: 9, 9.0%Cotton University: 8, 12.2%Guangxi University: 10, 19.1%Xi'an Jiaotong University: 11, 23.4%University of Oxford: 11, 23.6%University of Chines…Nankai UniversityTianjin University o…St Petersburg Univer…
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 83.325.3%7.6×36 +188.3%
2 Nankai UniversityChina 57.223.7%4.9×10 +266.0%
3 Tianjin University of TechnologyChina 54.819.3%10.3×8
4 St Petersburg UniversityRussia 52.87.8%12.9×18 +63.3%
5 Freie Universität BerlinGermany 50.24.7%17.0×19 +16.4%
6 Philipps University of MarburgGermany 49.49.0%12.8×9 +106.3%
7 Cotton UniversityIndia 46.612.2%81.0×8
8 Guangxi UniversityChina 45.719.1%5.9×10
9 Xi'an Jiaotong UniversityChina 45.223.4%2.4×11 +94.3%
10 University of OxfordUnited Kingdom 45.223.6%3.0×11 -24.9%

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 Fluorides and Related Compounds research growing?

Output in 2018–2022 was 11% lower than in 2013–2017, peaking in 2014. The fastest-growing topics are Inorganic Fluorides and Related Compounds.

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.