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Topic · Biophysics

Spectroscopy Techniques in Biomedical and Chemical Research

Spectroscopy Techniques in Biomedical and Chemical Research is a research topic within Biophysics. Science Explorer counts 37k research works in it since 1950. 19.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the application of Raman spectroscopy, infrared spectroscopy, and related techniques in biomedical research. The papers cover a wide range of topics including protein analysis, tissue diagnosis, glucose monitoring, cancer detection, and chemical imaging for biomedical purposes.

  • Raman Spectroscopy
  • Infrared Spectroscopy
  • Biomedical Imaging
  • Protein Analysis
  • Chemical Imaging
  • Tissue Diagnosis
  • Coherent Anti-Stokes Raman Scattering Microscopy
  • Glucose Monitoring
  • Cancer Detection
  • Vibrational Spectroscopy
Research works
37k
fractional, since 1950
In the world top 10%
7.4k
per year above
Top-10% rate
19.9%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+26%
the tick is no change

Which countries lead Spectroscopy Techniques in Biomedical and Chemical Research research?

By volume, China and the United States publish the most (2k and 1.1k works in 2022–2025).

By volume, 2022–2025

  1. 1 China 2k works
  2. 2 United States 1.1k works
  3. 3 India 485 works
  4. 4 Germany 320 works
  5. 5 Japan 313 works
  6. 6 United Kingdom 265 works
  7. 7 Russia 232 works
  8. 8 Italy 221 works
  9. 9 France 203 works
  10. 10 South Korea 147 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: 38.1%United States: 21.1%India: 9.0%Germany: 6.0%6 others listed: 25.7%38%largest
China2,045 · 38.1%United States1,133 · 21.1%India485 · 9.0%Germany320 · 6.0%6 others listed1,382 · 25.7%

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

Which institutions lead Spectroscopy Techniques in Biomedical and Chemical Research research?

By volume in 2022–2025, Chinese Academy of Sciences publishes the most Spectroscopy Techniques in Biomedical and Chemical Research research, followed by Zhejiang University and Tsinghua University.

Who are the leading researchers in Spectroscopy Techniques in Biomedical and Chemical Research?

The most-cited researchers publishing on Spectroscopy Techniques in Biomedical and Chemical Research include Róbert Langer.

  1. 1 Róbert Langer United States 4.2k citations

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

Where is Spectroscopy Techniques in Biomedical and Chemical Research research done?

The largest centres of Spectroscopy Techniques in Biomedical and Chemical Research research in 2022–2025 are Beijing (China), Shanghai (China), Moscow (Russia) and Tokyo (Japan). Among places with at least 20 works in it, it is an unusually large share of all research in Jena and Samara.

Largest cities, 2022–2025

  1. 1 Beijing China 363 works
  2. 2 Shanghai China 140 works
  3. 3 Moscow Russia 99 works
  4. 4 Tokyo Japan 99 works
  5. 5 Hangzhou China 96 works
  6. 6 Xi'an China 90 works
  7. 7 Guangzhou China 89 works
  8. 8 Nanjing China 85 works
  9. 9 Tianjin China 71 works
  10. 10 Paris France 62 works

Where it is the local speciality

  1. JenaDE · 47.1 works16×
  2. SamaraRU · 24.1 works7.6×
← less than its size predictsmore →

Location quotient: how much more of its research is in Spectroscopy Techniques in Biomedical and Chemical Research than the world average.

See Spectroscopy Techniques in Biomedical and Chemical Research on the map

Where is the best place to study Spectroscopy Techniques in Biomedical and Chemical Research?

Among universities, judged by research, Technological University Dublin, Jiangsu University and University of Agriculture Faisalabad 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%25%50%mean 41.45%fractional works in this node (log) →share in the world top 10% →Technological University Dublin: 10, 45.1%Jiangsu University: 27, 57.7%University of Agriculture Faisalabad: 10, 44.6%Lodz University of Technology: 8, 44.2%Boston University: 22, 40.9%University of Strathclyde: 13, 45.5%Friedrich Schiller University Jena: 13, 39.8%Samara National Research University: 16, 14.2%Heilongjiang Bayi Agricultural University: 12, 45.8%Xinjiang University: 15, 36.7%Jiangsu UniversityTechnological Univer…University of Agricu…Lodz University of T…
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 Technological University DublinIreland 66.145.1%15.7×10 +124.2%
2 Jiangsu UniversityChina 61.557.7%5.0×27 +8.6%
3 University of Agriculture FaisalabadPakistan 61.144.6%8.8×10
4 Lodz University of TechnologyPoland 60.144.2%9.3×8 +126.6%
5 Boston UniversityUnited States 60.040.9%6.4×22 +82.9%
6 University of StrathclydeUnited Kingdom 58.645.5%7.0×13 +52.9%
7 Friedrich Schiller University JenaGermany 55.839.8%9.0×13 -10.9%
8 Samara National Research UniversityRussia 55.214.2%17.5×16 +857.5%
9 Heilongjiang Bayi Agricultural UniversityChina 53.645.8%29.6×12 -53.8%
10 Xinjiang UniversityChina 48.636.7%4.9×15 +132.2%

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 Spectroscopy Techniques in Biomedical and Chemical Research research growing?

Output in 2018–2022 was 26% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Spectroscopy Techniques in Biomedical and Chemical Research.

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.