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Nanoplatforms for cancer theranostics

Nanoplatforms for cancer theranostics is a research topic within Biomedical Engineering. Science Explorer counts 50k research works in it since 1952. 29.5% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the use of nanotechnology, reactive oxygen species, and advanced imaging techniques for targeted cancer therapy and diagnosis. It covers a wide range of topics including photothermal therapy, fluorescence imaging, nanoparticle-based drug delivery, and the development of theranostic agents for combined imaging and therapy. The research also delves into the potential of immunotherapy and the use of biomimetic nanoparticles for enhanced cancer treatment.

  • Nanoparticles
  • Photothermal Therapy
  • Reactive Oxygen Species
  • Fluorescence Imaging
  • Photodynamic Therapy
  • Near-Infrared
  • Tumor Targeting
  • Immunotherapy
  • Biomimetic Nanoparticles
  • Theranostic Agents
Research works
50k
fractional, since 1952
In the world top 10%
15k
per year above
Top-10% rate
29.5%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+104%
the tick is no change

Which countries lead Nanoplatforms for cancer theranostics research?

By volume, China and the United States publish the most (10k and 1.7k works in 2022–2025).

By volume, 2022–2025

  1. 1 China 10k works
  2. 2 United States 1.7k works
  3. 3 India 1k works
  4. 4 South Korea 510 works
  5. 5 Iran 385 works
  6. 6 Japan 340 works
  7. 7 ?? 278 works
  8. 8 Russia 278 works
  9. 9 Germany 263 works
  10. 10 France 261 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: 66.9%United States: 11.2%India: 6.8%South Korea: 3.3%6 others listed: 11.8%67%largest
China10k · 66.9%United States1,710 · 11.2%India1,046 · 6.8%South Korea510 · 3.3%6 others listed1,805 · 11.8%

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

Which institutions lead Nanoplatforms for cancer theranostics research?

By volume in 2022–2025, Chinese Academy of Sciences publishes the most Nanoplatforms for cancer theranostics research, followed by Sichuan University and Shanghai Jiao Tong University.

Who are the leading researchers in Nanoplatforms for cancer theranostics?

The most-cited researchers publishing on Nanoplatforms for cancer theranostics include Ben Zhong Tang, Hua Zhang and Wei Huang.

  1. 1 Ben Zhong Tang Hong Kong 7k citations
  2. 2 Hua Zhang Singapore 5.9k citations
  3. 3 Wei Huang China 5.5k citations
  4. 4 Dirk Schadendorf Germany 4.4k citations
  5. 5 Moungi G. Bawendi United States 4.1k citations

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

Where is Nanoplatforms for cancer theranostics research done?

The largest centres of Nanoplatforms for cancer theranostics research in 2022–2025 are Beijing (China), Shanghai (China), Guangzhou (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Tianjin, Nanjing and Chengdu.

Largest cities, 2022–2025

  1. 1 Beijing China 1.1k works
  2. 2 Shanghai China 937 works
  3. 3 Guangzhou China 638 works
  4. 4 Nanjing China 601 works
  5. 5 Wuhan China 442 works
  6. 6 Hangzhou China 391 works
  7. 7 Chengdu China 382 works
  8. 8 Shenzhen China 305 works
  9. 9 Xi'an China 291 works
  10. 10 Tianjin China 283 works

Where it is the local speciality

  1. Tianjin21.1 works35×
  2. Nanjing30.6 works15×
  3. Chengdu35.3 works11×
  4. XuzhouCN · 53.7 works9.0×
← less than its size predictsmore →

Location quotient: how much more of its research is in Nanoplatforms for cancer theranostics than the world average.

See Nanoplatforms for cancer theranostics on the map

Where is the best place to study Nanoplatforms for cancer theranostics?

Among universities, judged by research, Soochow University, Southern Medical University and Chinese University of Hong Kong, Shenzhen 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%60%mean 41.76%fractional works in this node (log) →share in the world top 10% →Soochow University: 122, 44.5%Southern Medical University: 78, 41.6%Chinese University of Hong Kong, Shenzhen: 44, 50.5%Shenyang Pharmaceutical University: 78, 35.5%Wenzhou Medical University: 54, 42.1%China Pharmaceutical University: 91, 30.7%Beijing University of Chemical Technology: 65, 38.8%Sichuan University: 170, 40.3%Nanyang Technological University: 43, 56.2%Anhui Medical University: 47, 37.4%Chinese University o…Soochow UniversitySouthern Medical Uni…Shenyang Pharmaceuti…
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 Soochow UniversityChina 77.044.5%8.7×122 +219.5%
2 Southern Medical UniversityChina 75.641.6%12.4×78 +275.5%
3 Chinese University of Hong Kong, ShenzhenChina 72.250.5%13.5×44
4 Shenyang Pharmaceutical UniversityChina 71.235.5%33.8×78 +511.5%
5 Wenzhou Medical UniversityChina 70.342.1%9.0×54 +501.9%
6 China Pharmaceutical UniversityChina 70.230.7%24.4×91 +237.6%
7 Beijing University of Chemical TechnologyChina 68.838.8%8.5×65 +362.9%
8 Sichuan UniversityChina 68.740.3%5.7×170 +422.3%
9 Nanyang Technological UniversitySingapore 67.956.2%3.0×43 +333.6%
10 Anhui Medical UniversityChina 67.237.4%9.1×47 +252.2%

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 Nanoplatforms for cancer theranostics research growing?

Output in 2018–2022 was 104% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Nanoplatforms for cancer theranostics.

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.