Science Explorer Interactive view Map

Crystallography and molecular interactions

Crystallography and molecular interactions is a research topic within Physical and Theoretical Chemistry. Science Explorer counts 37k research works in it since 1950. 19.8% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the diverse aspects of noncovalent interactions, including hydrogen bonding, halogen bonding, aromatic ring interactions, crystal engineering, cocrystal formation, and mechanochemistry in molecular crystals and supramolecular chemistry.

  • Noncovalent Interactions
  • Molecular Crystals
  • Supramolecular Chemistry
  • Hydrogen Bonding
  • Halogen Bonding
  • Aromatic Rings
  • Crystal Engineering
  • Cocrystals
  • Mechanochemistry
  • Intermolecular Interactions
Research works
37k
fractional, since 1950
In the world top 10%
7.3k
per year above
Top-10% rate
19.8%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-4%
the tick is no change

Which countries lead Crystallography and molecular interactions research?

By volume, China and India publish the most (810 and 527 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 810 works
  2. 2 India 527 works
  3. 3 United States 453 works
  4. 4 Russia 248 works
  5. 5 Germany 209 works
  6. 6 Japan 197 works
  7. 7 United Kingdom 163 works
  8. 8 France 122 works
  9. 9 Spain 121 works
  10. 10 Poland 113 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: 27.3%India: 17.8%United States: 15.3%Russia: 8.4%6 others listed: 31.2%27%largest
China810 · 27.3%India527 · 17.8%United States453 · 15.3%Russia248 · 8.4%6 others listed924 · 31.2%

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

Which institutions lead Crystallography and molecular interactions research?

By volume in 2022–2025, Universitat de les Illes Balears publishes the most Crystallography and molecular interactions research, followed by Beijing Institute of Technology and Nanjing University of Science and Technology.

Who are the leading researchers in Crystallography and molecular interactions?

The most-cited researchers publishing on Crystallography and molecular interactions include Ben Zhong Tang, N. Zhou and Peter A. Kollman.

  1. 1 Ben Zhong Tang Hong Kong 7k citations
  2. 2 N. Zhou United States 6.6k citations
  3. 3 Peter A. Kollman United States 6.3k citations
  4. 4 Judith A. K. Howard United Kingdom 5.5k citations
  5. 5 Wei Huang China 5.5k citations
  6. 6 Martin Karplus United States 4.7k citations
  7. 7 Lee G. Pedersen United States 4.1k citations
  8. 8 C. N. R. Rao India 3.9k citations
  9. 9 Vincenzo Barone Italy 3.9k citations

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

Where is Crystallography and molecular interactions research done?

The largest centres of Crystallography and molecular interactions research in 2022–2025 are Beijing (China), Moscow (Russia), Tokyo (Japan) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Palma.

Largest cities, 2022–2025

  1. 1 Beijing China 117 works
  2. 2 Moscow Russia 92 works
  3. 3 Tokyo Japan 63 works
  4. 4 Nanjing China 59 works
  5. 5 Shanghai China 58 works
  6. 6 Tianjin China 54 works
  7. 7 Chennai India 51 works
  8. 8 Paris France 41 works
  9. 9 Warsaw Poland 39 works
  10. 10 Novosibirsk Russia 36 works

Where it is the local speciality

  1. PalmaES · 31.2 works40×
← less than its size predictsmore →

Location quotient: how much more of its research is in Crystallography and molecular interactions than the world average.

See Crystallography and molecular interactions on the map

Where is the best place to study Crystallography and molecular interactions?

Among universities, judged by research, Universitat de les Illes Balears, Utah State University and St Petersburg 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%mean 30.31%fractional works in this node (log) →share in the world top 10% →Universitat de les Illes Balears: 31, 38.9%Utah State University: 18, 46.8%St Petersburg University: 23, 27.7%Jadavpur University: 11, 41.0%South Ural State University: 9, 23.6%University of Limerick: 10, 22.8%Ruhr University Bochum: 12, 34.7%University of Jyväskylä: 11, 22.7%Tianjin University: 23, 23.2%Beijing Institute of Technology: 24, 21.7%Utah State UniversityJadavpur UniversityUniversitat de les I…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 Universitat de les Illes BalearsSpain 80.038.9%76.2×31 +36.0%
2 Utah State UniversityUnited States 73.846.8%25.2×18 +23.8%
3 St Petersburg UniversityRussia 73.327.7%12.2×23 +168.2%
4 Jadavpur UniversityIndia 62.741.0%10.8×11 +30.1%
5 South Ural State UniversityRussia 60.623.6%19.9×9 +222.0%
6 University of LimerickIreland 59.522.8%14.8×10 +130.1%
7 Ruhr University BochumGermany 54.334.7%7.6×12 +23.1%
8 University of JyväskyläFinland 52.422.7%15.9×11 -17.3%
9 Tianjin UniversityChina 51.523.2%5.0×23 +78.6%
10 Beijing Institute of TechnologyChina 49.921.7%5.2×24 +59.8%

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 Crystallography and molecular interactions research growing?

Output in 2018–2022 was 4% lower than in 2013–2017, peaking in 2011. The fastest-growing topics are Crystallography and molecular 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.