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Topic · Spectroscopy

Advanced NMR Techniques and Applications

Advanced NMR Techniques and Applications is a research topic within Spectroscopy. Science Explorer counts 44k research works in it since 1950. 22.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on advancements in nuclear magnetic resonance (NMR) spectroscopy techniques, including solid-state NMR, dynamic nuclear polarization, hyperpolarization, and high-field NMR. The papers cover topics such as protein structure determination, metabolic imaging, spin dynamics, and the application of NMR in magnetic resonance imaging.

  • NMR Spectroscopy
  • Solid-State NMR
  • Dynamic Nuclear Polarization
  • Hyperpolarization
  • Chemical Shifts
  • Protein Structure Determination
  • Metabolic Imaging
  • High-Field NMR
  • Spin Dynamics
  • Magnetic Resonance Imaging
Research works
44k
fractional, since 1950
In the world top 10%
10k
per year above
Top-10% rate
22.9%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-6%
the tick is no change

Which countries lead Advanced NMR Techniques and Applications research?

By volume, the United States and China publish the most (709 and 452 works in 2022–2025).

By volume, 2022–2025

  1. 1 United States 709 works
  2. 2 China 452 works
  3. 3 Germany 317 works
  4. 4 Japan 219 works
  5. 5 France 217 works
  6. 6 United Kingdom 170 works
  7. 7 Russia 160 works
  8. 8 India 117 works
  9. 9 Italy 93 works
  10. 10 Canada 85 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.

United States: 27.9%China: 17.8%Germany: 12.5%Japan: 8.6%6 others listed: 33.2%28%largest
United States709 · 27.9%China452 · 17.8%Germany317 · 12.5%Japan219 · 8.6%6 others listed842 · 33.2%

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

Which institutions lead Advanced NMR Techniques and Applications research?

By volume in 2022–2025, Centre National de la Recherche Scientifique publishes the most Advanced NMR Techniques and Applications research, followed by Chinese Academy of Sciences and University of North Carolina at Chapel Hill.

Who are the leading researchers in Advanced NMR Techniques and Applications?

The most-cited researchers publishing on Advanced NMR Techniques and Applications include John A. Pople, Donald G. Truhlar and J. Kroll.

  1. 1 John A. Pople United States 11k citations
  2. 2 Donald G. Truhlar United States 8.4k citations
  3. 3 J. Kroll Italy 7.6k citations

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

Where is Advanced NMR Techniques and Applications research done?

The largest centres of Advanced NMR Techniques and Applications research in 2022–2025 are Beijing (China), Paris (France), Moscow (Russia) and Tokyo (Japan). Among places with at least 20 works in it, it is an unusually large share of all research in Tallahassee.

Largest cities, 2022–2025

  1. 1 Beijing China 118 works
  2. 2 Paris France 80 works
  3. 3 Moscow Russia 48 works
  4. 4 Tokyo Japan 47 works
  5. 5 Shanghai China 43 works
  6. 6 Novosibirsk Russia 33 works
  7. 7 Zurich Switzerland 31 works
  8. 8 Wuhan China 29 works
  9. 9 Tallahassee United States 28 works
  10. 10 London United Kingdom 28 works

Where it is the local speciality

  1. TallahasseeUS · 28.0 works20×
← less than its size predictsmore →

Location quotient: how much more of its research is in Advanced NMR Techniques and Applications than the world average.

See Advanced NMR Techniques and Applications on the map

Where is the best place to study Advanced NMR Techniques and Applications?

Among universities, judged by research, ETH Zurich, École Polytechnique Fédérale de Lausanne and Weizmann Institute of Science 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 24.97%fractional works in this node (log) →share in the world top 10% →ETH Zurich: 24, 24.5%École Polytechnique Fédérale de Lausanne: 16, 25.8%Weizmann Institute of Science: 18, 22.4%Aarhus University: 21, 16.3%University of Manchester: 14, 34.1%Karlsruhe Institute of Technology: 16, 22.2%Technische Universität Darmstadt: 13, 20.9%University of Chinese Academy of Sciences: 19, 29.8%Florida State University: 11, 26.1%Massachusetts Institute of Technology: 14, 27.6%École Polytechnique …ETH ZurichWeizmann Institute o…Aarhus University
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 ETH ZurichSwitzerland 74.124.5%11.4×24 +30.5%
2 École Polytechnique Fédérale de LausanneSwitzerland 68.725.8%12.1×16 +22.0%
3 Weizmann Institute of ScienceIsrael 64.922.4%40.7×18 -6.0%
4 Aarhus UniversityDenmark 61.916.3%9.4×21 +33.7%
5 University of ManchesterUnited Kingdom 60.034.1%5.9×14 +24.6%
6 Karlsruhe Institute of TechnologyGermany 59.622.2%9.6×16 +3.9%
7 Technische Universität DarmstadtGermany 57.920.9%12.3×13 +40.6%
8 University of Chinese Academy of SciencesChina 56.729.8%3.6×19 +157.6%
9 Florida State UniversityUnited States 54.726.1%11.0×11 -32.9%
10 Massachusetts Institute of TechnologyUnited States 54.227.6%6.9×14 +7.4%

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 Advanced NMR Techniques and Applications research growing?

Output in 2018–2022 was 6% lower than in 2013–2017, peaking in 2008. The fastest-growing topics are Advanced NMR Techniques and Applications.

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.