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Topic · Radiology, Nuclear Medicine and Imaging

MRI in cancer diagnosis

MRI in cancer diagnosis is a research topic within Radiology, Nuclear Medicine and Imaging. Science Explorer counts 33k research works in it since 1951. 9.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the use of breast magnetic resonance imaging (MRI) in oncology, particularly in the context of cancer biomarkers, diagnostic accuracy for breast lesions, monitoring tumor response to neoadjuvant chemotherapy, and the application of diffusion-weighted and dynamic contrast-enhanced MRI for assessing perfusion and tumor characteristics. The research also explores the potential of breast MRI as a tool for predicting and monitoring treatment response in breast cancer patients.

  • Breast MRI
  • Diffusion-Weighted Imaging
  • Dynamic Contrast-Enhanced MRI
  • Cancer Biomarkers
  • Breast Lesions
  • Diagnostic Accuracy
  • Neoadjuvant Chemotherapy
  • Tumor Response
  • Perfusion Imaging
  • Magnetic Resonance Imaging
Research works
33k
fractional, since 1951
In the world top 10%
3.2k
per year above
Top-10% rate
9.9%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
0%
the tick is no change
Largest producer
China
35% of the 10 largest, 2022-now
MRI in cancer diagnosis

This ranks research output and citation impact. It says nothing about the quality of diagnosis, treatment or care.

Which countries lead MRI in cancer diagnosis research?

By volume, China and the United States publish the most (1.7k and 1.2k works in 2022-now).

By volume, 2022-now

  1. 1 China 1.7k works
  2. 2 United States 1.2k works
  3. 3 Germany 360 works
  4. 4 Japan 321 works
  5. 5 Italy 245 works
  6. 6 United Kingdom 240 works
  7. 7 India 224 works
  8. 8 South Korea 202 works
  9. 9 Türkiye 153 works
  10. 10 Netherlands 150 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: 35.3%United States: 25.6%Germany: 7.4%Japan: 6.6%6 others listed: 25.1%35%largest
China1,711 · 35.3%United States1,240 · 25.6%Germany360 · 7.4%Japan321 · 6.6%6 others listed1,215 · 25.1%

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

Which institutions lead MRI in cancer diagnosis research?

By volume in 2022-now, Sun Yat-sen University publishes the most MRI in cancer diagnosis research, followed by Harvard University and Shanghai Jiao Tong University.

By volume, 2022-now

  1. 1 Sun Yat-sen UniversityChina 78 works
  2. 2 Harvard UniversityUnited States 75 works
  3. 3 Shanghai Jiao Tong UniversityChina 53 works
  4. 4 Fudan UniversityChina 41 works
  5. 5 Nanjing Medical UniversityChina 40 works
  6. 6 Memorial Sloan Kettering Cancer CenterUnited States 37 works
  7. 7 Mayo ClinicUnited States 36 works
  8. 8 Sichuan UniversityChina 35 works
  9. 9 The University of Texas MD Anderson Cancer CenterUnited States 35 works
  10. 10 University of TorontoCanada 32 works

Who are the leading researchers in MRI in cancer diagnosis?

The most-cited researchers publishing on MRI in cancer diagnosis include Giuseppe Remuzzi, Karl John Friston and Dan J. Stein.

  1. 1 Giuseppe Remuzzi Italy 328k citations
  2. 2 Karl John Friston United Kingdom 310k citations
  3. 3 Dan J. Stein South Africa 306k citations
  4. 4 Luigi Ferrucci United States 281k citations
  5. 5 Josef Coresh United States 272k citations
  6. 6 Patrick M. Bossuyt Netherlands 270k citations
  7. 7 Charles M. Perou United States 263k citations
  8. 8 Valentı́n Fuster United States 257k citations

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

What are the most cited papers in MRI in cancer diagnosis?

The most cited paper in MRI in cancer diagnosis is "3D Slicer as an image computing platform for the Quantitative Imaging Network" (Andriy Fedorov, Reinhard Beichel, Jayashree Kalpathy–Cramer et al., 2012), with 9,292 citations. Next come "Computational Radiomics System to Decode the Radiographic Phenotype" (6,776) and "MR diffusion tensor spectroscopy and imaging" (6,135).

Most cited papers
#PaperReleasedCitations
1 3D Slicer as an image computing platform for the Quantitative Imaging Network Andriy Fedorov, Reinhard Beichel, Jayashree Kalpathy–Cramer et al. · Magnetic Resonance Imaging Open access 7 Jul 2012 9,292
2 Computational Radiomics System to Decode the Radiographic Phenotype Joost J. M. van Griethuysen, Andriy Fedorov, Chintan Parmar et al. · Cancer Research Open access 31 Oct 2017 6,776
3 MR diffusion tensor spectroscopy and imaging Peter J. Basser, James Mattiello, Denis Lebihan · Biophysical Journal Open access 1994 6,135
4 Tumor Angiogenesis and Metastasis — Correlation in Invasive Breast Carcinoma Noel Weidner, Joseph P. Semple, William R. W. Welch et al. · New England Journal of Medicine 3 Jan 1991 5,701
5 Nonrigid registration using free-form deformations: application to breast MR images Daniel Rueckert, Luke Ienari Sonoda, Carmel Hayes et al. · IEEE Transactions on Medical Imaging 1999 5,327
All 100 most cited papers, with filters and sorting

Where is MRI in cancer diagnosis research done?

The largest centres of MRI in cancer diagnosis research in 2022-now are Shanghai (China), Beijing (China), Guangzhou (China) and Seoul (South Korea). Among places with at least 20 works in it, it is an unusually large share of all research in Beijing, Forchheim and Al Mansurah.

Largest cities, 2022-now

  1. 1 ShanghaiChina 195 works
  2. 2 BeijingChina 169 works
  3. 3 GuangzhouChina 150 works
  4. 4 SeoulSouth Korea 117 works
  5. 5 New YorkUnited States 100 works
  6. 6 LondonUnited Kingdom 98 works
  7. 7 TokyoJapan 72 works
  8. 8 HangzhouChina 66 works
  9. 9 BostonUnited States 63 works
  10. 10 NanjingChina 61 works

Where it is the local speciality

  1. BeijingCN · 20.0 works309×
  2. ForchheimDE · 26.7 works193×
  3. Al MansurahEG · 21.3 works7.2×
  4. HeidelbergDE · 43.0 works7.0×
← less than its size predicts1×more →

Location quotient: how much more of its research is in MRI in cancer diagnosis than the world average.

See MRI in cancer diagnosis on the map

Where is the best place to study MRI in cancer diagnosis?

Among universities, judged by research, Sun Yat-sen University, Harvard University and Radboud University Nijmegen score highest, combining citation 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 16.85%fractional works in this field (log) →share of work in the world top 10% →Chinese University o…Radboud University N…Sun Yat-sen UniversityHarvard University
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Citation excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Sun Yat-sen UniversityChina 70.114.9%7.1×78 +17.0%
2Harvard UniversityUnited States 69.714.0%4.4×75 -19.3%
3Radboud University NijmegenNetherlands 68.915.6%6.6×21 +8.6%
4Chinese University of Hong KongChina 62.318.7%3.4×13 +92.7%
5Maastricht UniversityNetherlands 61.222.4%5.4×11 -14.0%
6Imperial College LondonUnited Kingdom 60.116.8%3.1×17 +40.4%
7New York UniversityUnited States 59.514.3%3.9×24 -14.9%
8Nanjing Medical UniversityChina 57.912.4%8.4×40 +24.4%
9Shanghai Jiao Tong UniversityChina 57.510.0%3.4×52 +31.3%
10Sapienza University of RomeItaly 57.129.4%2.1×13 +2.4%

Universities only. The score blends citation excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in MRI in cancer diagnosis, country by country

Is MRI in cancer diagnosis research growing?

Output in 2022-2025 was 0% lower than in 2018-2021, peaking in 2014.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is MRI in cancer diagnosis as a percentage of every work published that year, 0.023% in 2024.

still counting0.020%0.040%0.060%MRI in cancer diagnosis0.025% in 202519801990200020102020

Fractional works of MRI in cancer diagnosis over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%MRI in cancer diagnosis9.8% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

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.

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