Science Explorer Interactive view Map
Topic · Epidemiology

Neuroendocrine Tumor Research Advances

Neuroendocrine Tumor Research Advances is a research topic within Epidemiology. Science Explorer counts 44k research works in it since 1950. 13.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the epidemiology, classification, management, and treatment of neuroendocrine tumors, with a specific emphasis on pancreatic neuroendocrine tumors. It covers topics such as somatostatin receptor-based imaging and therapy, MEN1 syndrome, peptide receptor radionuclide therapy, genetic mutations associated with these tumors, and survival analysis.

  • Neuroendocrine Tumors
  • Pancreatic Neuroendocrine Tumors
  • Somatostatin Receptor
  • MEN1 Syndrome
  • Peptide Receptor Radionuclide Therapy
  • Gastroenteropancreatic Neoplasms
  • Tumor Classification
  • Survival Analysis
  • Therapeutic Guidelines
  • Genetic Mutations
Research works
44k
fractional, since 1950
In the world top 10%
5.7k
per year above
Top-10% rate
13.0%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+26%
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 Neuroendocrine Tumor Research Advances research?

By volume, the United States and China publish the most (1.7k and 1.1k works in 2022–2025).

By volume, 2022–2025

  1. 1 United States 1.7k works
  2. 2 China 1.1k works
  3. 3 Japan 607 works
  4. 4 Italy 410 works
  5. 5 India 344 works
  6. 6 Germany 334 works
  7. 7 United Kingdom 228 works
  8. 8 France 226 works
  9. 9 Spain 199 works
  10. 10 South Korea 163 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: 32.2%China: 20.9%Japan: 11.3%Italy: 7.7%6 others listed: 27.9%32%largest
United States1,726 · 32.2%China1,122 · 20.9%Japan607 · 11.3%Italy410 · 7.7%6 others listed1,494 · 27.9%

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

Which institutions lead Neuroendocrine Tumor Research Advances research?

By volume in 2022–2025, Chinese Academy of Medical Sciences & Peking Union Medical College publishes the most Neuroendocrine Tumor Research Advances research, followed by The University of Texas MD Anderson Cancer Center and Memorial Sloan Kettering Cancer Center.

Who are the leading researchers in Neuroendocrine Tumor Research Advances?

The most-cited researchers publishing on Neuroendocrine Tumor Research Advances include Julie R. Brahmer and Larry Rubinstein.

  1. 1 Julie R. Brahmer United States 3.8k citations
  2. 2 Larry Rubinstein United States 3.6k citations

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

Where is Neuroendocrine Tumor Research Advances research done?

The largest centres of Neuroendocrine Tumor Research Advances research in 2022–2025 are Beijing (China), Tokyo (Japan), Shanghai (China) and New York (United States).

Largest cities, 2022–2025

  1. 1 Beijing China 193 works
  2. 2 Tokyo Japan 121 works
  3. 3 Shanghai China 105 works
  4. 4 New York United States 96 works
  5. 5 Rome Italy 87 works
  6. 6 London United Kingdom 86 works
  7. 7 Seoul South Korea 82 works
  8. 8 Guangzhou China 70 works
  9. 9 Paris France 70 works
  10. 10 Houston United States 69 works
See Neuroendocrine Tumor Research Advances on the map

Where is the best place to study Neuroendocrine Tumor Research Advances?

Among universities, judged by research, Chinese Academy of Medical Sciences & Peking Union Medical College, Vita-Salute San Raffaele University and Carol Davila University of Medicine and Pharmacy 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 14.46%fractional works in this node (log) →share in the world top 10% →Chinese Academy of Medical Sciences & Peking Union Medical College: 55, 12.9%Vita-Salute San Raffaele University: 12, 18.5%Carol Davila University of Medicine and Pharmacy: 10, 15.6%Humanitas University: 9, 17.1%University of Verona: 15, 17.7%Post Graduate Institute of Medical Education and Research: 23, 6.7%University of Insubria: 11, 6.4%Cornell University: 13, 28.7%Medical University of Silesia: 14, 11.0%Medical University of Vienna: 15, 10.0%Vita-Salute San Raff…Humanitas UniversityCarol Davila Univers…Chinese Academy of M…
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 60.912.9%8.3×55 +84.2%
2 Vita-Salute San Raffaele UniversityItaly 59.918.5%13.4×12 +131.4%
3 Carol Davila University of Medicine and PharmacyRomania 55.915.6%9.4×10 +244.0%
4 Humanitas UniversityItaly 53.317.1%16.6×9 +86.7%
5 University of VeronaItaly 50.717.7%9.2×15 +7.7%
6 Post Graduate Institute of Medical Education and ResearchIndia 49.86.7%10.3×23 +78.4%
7 University of InsubriaItaly 47.26.4%16.2×11 +131.1%
8 Cornell UniversityUnited States 46.628.7%1.9×13 +130.9%
9 Medical University of SilesiaPoland 46.111.0%11.3×14 +31.0%
10 Medical University of ViennaAustria 42.810.0%7.0×15 +63.5%

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 Neuroendocrine Tumor Research Advances research growing?

Output in 2018–2022 was 26% higher than in 2013–2017, peaking in 2021. The fastest-growing topics are Neuroendocrine Tumor Research Advances.

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.