Science Explorer Interactive view Map

Lung Cancer Diagnosis and Treatment

Lung Cancer Diagnosis and Treatment is a research topic within Pulmonary and Respiratory Medicine. Science Explorer counts 62k research works in it since 1950. 15.5% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the diagnosis and treatment of lung cancer, including topics such as CT screening, radiotherapy, chemotherapy, tumor staging, adjuvant therapy, positron emission tomography, stereotactic body radiation therapy, non-small cell lung cancer, and pulmonary nodules.

  • Lung Cancer
  • CT Screening
  • Radiotherapy
  • Chemotherapy
  • Tumor Staging
  • Adjuvant Therapy
  • Positron Emission Tomography
  • Stereotactic Body Radiation Therapy
  • Non-Small Cell Lung Cancer
  • Pulmonary Nodules
Research works
62k
fractional, since 1950
In the world top 10%
9.6k
per year above
Top-10% rate
15.5%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+34%
the tick is no change

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

Which countries lead Lung Cancer Diagnosis and Treatment research?

By volume, China and the United States publish the most (3.6k and 2.9k works in 2022–2025).

By volume, 2022–2025

  1. 1 China 3.6k works
  2. 2 United States 2.9k works
  3. 3 Japan 1.1k works
  4. 4 India 938 works
  5. 5 United Kingdom 614 works
  6. 6 Germany 483 works
  7. 7 Italy 451 works
  8. 8 South Korea 410 works
  9. 9 France 336 works
  10. 10 Spain 295 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: 32.6%United States: 25.8%Japan: 9.8%India: 8.5%6 others listed: 23.4%33%largest
China3,613 · 32.6%United States2,855 · 25.8%Japan1,087 · 9.8%India938 · 8.5%6 others listed2,589 · 23.4%

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

Which institutions lead Lung Cancer Diagnosis and Treatment research?

By volume in 2022–2025, Chinese Academy of Medical Sciences & Peking Union Medical College publishes the most Lung Cancer Diagnosis and Treatment research, followed by The University of Texas MD Anderson Cancer Center and Sichuan University.

Who are the leading researchers in Lung Cancer Diagnosis and Treatment?

The most-cited researchers publishing on Lung Cancer Diagnosis and Treatment include Lesley Stewart.

  1. 1 Lesley Stewart United Kingdom 20k citations

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

Where is Lung Cancer Diagnosis and Treatment research done?

The largest centres of Lung Cancer Diagnosis and Treatment research in 2022–2025 are Beijing (China), Shanghai (China), Guangzhou (China) and Tokyo (Japan). Among places with at least 20 works in it, it is an unusually large share of all research in Plainview, Kashiwa and Maebashi.

Largest cities, 2022–2025

  1. 1 Beijing China 456 works
  2. 2 Shanghai China 399 works
  3. 3 Guangzhou China 284 works
  4. 4 Tokyo Japan 237 works
  5. 5 Seoul South Korea 234 works
  6. 6 New York United States 196 works
  7. 7 Chengdu China 194 works
  8. 8 London United Kingdom 176 works
  9. 9 Jinan China 147 works
  10. 10 Boston United States 142 works

Where it is the local speciality

  1. PlainviewUS · 32.9 works31×
  2. KashiwaJP · 31.8 works25×
  3. MaebashiJP · 20.5 works11×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Lung Cancer Diagnosis and Treatment than the world average.

See Lung Cancer Diagnosis and Treatment on the map

Where is the best place to study Lung Cancer Diagnosis and Treatment?

Among universities, judged by research, Chinese Academy of Medical Sciences & Peking Union Medical College, Ulsan College and Shandong First Medical 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 20.25%fractional works in this node (log) →share in the world top 10% →Chinese Academy of Medical Sciences & Peking Union Medical College: 110, 16.4%Ulsan College: 12, 23.5%Shandong First Medical University: 46, 16.2%Shanghai Medical College of Fudan University: 11, 21.8%Guangzhou Medical University: 34, 16.3%University of Ulsan: 17, 24.7%Shanghai Jiao Tong University: 49, 21.9%University of Groningen: 12, 34.8%Sichuan University: 68, 17.7%Juntendo University: 29, 9.2%Ulsan CollegeShanghai Medical Col…Chinese Academy of M…Shandong First Medic…
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 Chinese Academy of Medical Sciences & Peking Union Medical CollegeChina 66.616.4%8.3×110 +130.1%
2 Ulsan CollegeSouth Korea 57.023.5%9.3×12 +101.7%
3 Shandong First Medical UniversityChina 56.016.2%13.2×46 +7.6%
4 Shanghai Medical College of Fudan UniversityChina 55.021.8%10.1×11 +80.3%
5 Guangzhou Medical UniversityChina 54.616.3%9.3×34 +43.5%
6 University of UlsanSouth Korea 54.024.7%7.0×17 +88.0%
7 Shanghai Jiao Tong UniversityChina 52.721.9%1.6×49 +217.4%
8 University of GroningenNetherlands 51.534.8%1.9×12 +122.4%
9 Sichuan UniversityChina 51.017.7%3.0×68 +145.6%
10 Juntendo UniversityJapan 49.79.2%14.3×29 +44.1%

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 Lung Cancer Diagnosis and Treatment research growing?

Output in 2018–2022 was 34% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Lung Cancer Diagnosis and Treatment.

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.