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Bacterial Identification and Susceptibility Testing

Bacterial Identification and Susceptibility Testing is a research topic within Clinical Biochemistry. Science Explorer counts 33k research works in it since 1950. 17.2% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the advancements in microbial identification and diagnosis, particularly through the use of Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry (MALDI-TOF MS) and rapid diagnostic testing. It covers topics such as blood culture, antimicrobial susceptibility testing, bacterial identification, and molecular diagnosis in clinical microbiology, with a specific emphasis on bacteremia.

  • Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry
  • Microorganism Identification
  • Clinical Microbiology
  • Blood Culture
  • Antimicrobial Susceptibility Testing
  • Bacterial Identification
  • MALDI-TOF MS
  • Rapid Diagnostic Testing
  • Molecular Diagnosis
  • Bacteremia
Research works
33k
fractional, since 1950
In the world top 10%
5.6k
per year above
Top-10% rate
17.2%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+27%
the tick is no change

Which countries lead Bacterial Identification and Susceptibility Testing research?

By volume, the United States and China publish the most (1.2k and 729 works in 2022–2025).

By volume, 2022–2025

  1. 1 United States 1.2k works
  2. 2 China 729 works
  3. 3 India 429 works
  4. 4 United Kingdom 238 works
  5. 5 Japan 215 works
  6. 6 France 205 works
  7. 7 Spain 192 works
  8. 8 Germany 191 works
  9. 9 Italy 168 works
  10. 10 Australia 142 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: 33.1%China: 19.4%India: 11.4%United Kingdom: 6.4%6 others listed: 29.7%33%largest
United States1,240 · 33.1%China729 · 19.4%India429 · 11.4%United Kingdom238 · 6.4%6 others listed1,112 · 29.7%

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

Which institutions lead Bacterial Identification and Susceptibility Testing research?

By volume in 2022–2025, All India Institute of Medical Sciences publishes the most Bacterial Identification and Susceptibility Testing research, followed by Inserm and Washington University in St. Louis.

Who are the leading researchers in Bacterial Identification and Susceptibility Testing?

The most-cited researchers publishing on Bacterial Identification and Susceptibility Testing include Maarten J. Postma, Bin Cao and Jean‐Louis Vincent.

  1. 1 Maarten J. Postma Netherlands 4.6k citations
  2. 2 Bin Cao China 3.3k citations
  3. 3 Jean‐Louis Vincent Belgium 3.1k citations

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

Where is Bacterial Identification and Susceptibility Testing research done?

The largest centres of Bacterial Identification and Susceptibility Testing research in 2022–2025 are Beijing (China), Paris (France), London (United Kingdom) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Marseille.

Largest cities, 2022–2025

  1. 1 Beijing China 107 works
  2. 2 Paris France 76 works
  3. 3 London United Kingdom 66 works
  4. 4 Shanghai China 62 works
  5. 5 Madrid Spain 60 works
  6. 6 Seoul South Korea 60 works
  7. 7 Tokyo Japan 54 works
  8. 8 Guangzhou China 52 works
  9. 9 New Delhi India 45 works
  10. 10 Hangzhou China 44 works

Where it is the local speciality

  1. MarseilleFR · 20.0 works4.2×
← less than its size predictsmore →

Location quotient: how much more of its research is in Bacterial Identification and Susceptibility Testing than the world average.

See Bacterial Identification and Susceptibility Testing on the map

Where is the best place to study Bacterial Identification and Susceptibility Testing?

Among universities, judged by research, All India Institute of Medical Sciences, University of Oxford and University of Maryland, Baltimore 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 22.85%fractional works in this node (log) →share in the world top 10% →All India Institute of Medical Sciences: 18, 10.4%University of Oxford: 10, 33.0%University of Maryland, Baltimore: 10, 22.9%Fudan University: 10, 33.8%The University of Queensland: 9, 27.4%Johns Hopkins University: 13, 19.5%University of Copenhagen: 9, 23.3%Washington University in St. Louis: 13, 16.6%Harvard University: 10, 24.2%Duke University: 11, 17.4%Fudan UniversityUniversity of OxfordUniversity of Maryla…All India 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 All India Institute of Medical SciencesIndia 51.210.4%5.0×18 +156.0%
2 University of OxfordUnited Kingdom 49.333.0%1.4×10 +45.4%
3 University of Maryland, BaltimoreUnited States 44.622.9%5.6×10 +43.1%
4 Fudan UniversityChina 43.433.8%1.5×10 +45.4%
5 The University of QueenslandAustralia 42.427.4%2.0×9 +40.3%
6 Johns Hopkins UniversityUnited States 41.619.5%2.1×13 +67.6%
7 University of CopenhagenDenmark 41.623.3%2.4×9 +45.5%
8 Washington University in St. LouisUnited States 41.216.6%3.3×13 +68.5%
9 Harvard UniversityUnited States 40.524.2%1.4×10 +49.0%
10 Duke UniversityUnited States 40.317.4%2.6×11 +143.4%

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 Bacterial Identification and Susceptibility Testing research growing?

Output in 2018–2022 was 27% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Bacterial Identification and Susceptibility Testing.

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.