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Topic · Molecular Biology

Gene expression and cancer classification

Gene expression and cancer classification is a research topic within Molecular Biology. Science Explorer counts 33k research works in it since 1950. 16.5% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the analysis of microarray data and gene expression profiling, covering topics such as normalization, differential expression, feature selection, machine learning applications, clustering methods, quality control, and bioinformatics tools. The papers discuss various techniques and methods for processing and interpreting gene expression data obtained from microarray experiments.

  • Microarray
  • Gene Expression
  • Data Analysis
  • Normalization
  • Differential Expression
  • Feature Selection
  • Machine Learning
  • Clustering
  • Quality Control
  • Bioinformatics
Research works
33k
fractional, since 1950
In the world top 10%
5.4k
per year above
Top-10% rate
16.5%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+1%
the tick is no change

Which countries lead Gene expression and cancer classification research?

By volume, the United States and China publish the most (1.2k and 1.1k works in 2022–2025).

By volume, 2022–2025

  1. 1 United States 1.2k works
  2. 2 China 1.1k works
  3. 3 India 617 works
  4. 4 Germany 160 works
  5. 5 United Kingdom 152 works
  6. 6 Italy 123 works
  7. 7 Canada 108 works
  8. 8 France 107 works
  9. 9 Japan 102 works
  10. 10 South Korea 91 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: 32.1%China: 28.9%India: 16.5%Germany: 4.3%6 others listed: 18.2%32%largest
United States1,204 · 32.1%China1,082 · 28.9%India617 · 16.5%Germany160 · 4.3%6 others listed683 · 18.2%

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

Which institutions lead Gene expression and cancer classification research?

By volume in 2022–2025, University of North Carolina at Chapel Hill publishes the most Gene expression and cancer classification research, followed by Qufu Normal University and Harvard University.

By volume, 2022–2025

  1. 1 University of North Carolina at Chapel HillUnited States 45 works
  2. 2 Qufu Normal UniversityChina 21 works
  3. 3 Harvard UniversityUnited States 20 works
  4. 4 Central South UniversityChina 19 works
  5. 5 University of MichiganUnited States 19 works
  6. 6 Vellore Institute of Technology UniversityIndia 17 works
  7. 7 Yale UniversityUnited States 17 works
  8. 8 Amrita Vishwa VidyapeethamIndia 16 works
  9. 9 Stanford UniversityUnited States 15 works
  10. 10 Shandong UniversityChina 15 works

Who are the leading researchers in Gene expression and cancer classification?

The most-cited researchers publishing on Gene expression and cancer classification include Robert Tibshirani, Stacey Gabriel and David Botstein.

  1. 1 Robert Tibshirani United States 13k citations
  2. 2 Stacey Gabriel United States 7.8k citations
  3. 3 David Botstein United States 6.7k citations
  4. 4 Pablo Tamayo United States 6.5k citations
  5. 5 J. Michael Cherry United States 6.4k citations
  6. 6 Jill P. Mesirov United States 6.3k citations
  7. 7 Gad Getz United States 6.2k citations
  8. 8 Nan M. Laird United States 5.7k citations
  9. 9 Sayan Mukherjee United States 5.7k citations

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

Where is Gene expression and cancer classification research done?

The largest centres of Gene expression and cancer classification research in 2022–2025 are Beijing (China), Shanghai (China), Chennai (India) and Guangzhou (China). Among places with at least 20 works in it, it is an unusually large share of all research in Qufu, Chapel Hill and Bhubaneswar.

Largest cities, 2022–2025

  1. 1 Beijing China 156 works
  2. 2 Shanghai China 86 works
  3. 3 Chennai India 59 works
  4. 4 Guangzhou China 57 works
  5. 5 New York United States 49 works
  6. 6 Xi'an China 49 works
  7. 7 Changsha China 47 works
  8. 8 Seoul South Korea 47 works
  9. 9 Chapel Hill United States 47 works
  10. 10 Paris France 42 works

Where it is the local speciality

  1. QufuCN · 20.8 works22×
  2. Chapel HillUS · 46.6 works5.5×
  3. BhubaneswarIN · 27.4 works5.2×
  4. CoimbatoreIN · 32.8 works3.9×
  5. New HavenUS · 20.6 works3.7×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Gene expression and cancer classification than the world average.

See Gene expression and cancer classification on the map

Where is the best place to study Gene expression and cancer classification?

Among universities, judged by research, Qufu Normal University, Magna Graecia University and Vellore Institute of Technology 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 15.71%fractional works in this node (log) →share in the world top 10% →Qufu Normal University: 21, 1.0%Magna Graecia University: 12, 7.3%Vellore Institute of Technology University: 17, 21.3%Amrita Vishwa Vidyapeetham: 16, 10.4%University of North Carolina at Chapel Hill: 45, 5.9%Siksha O Anusandhan University: 14, 15.0%University of Pennsylvania: 13, 33.4%Harvard University: 20, 23.0%University of Chinese Academy of Sciences: 12, 24.7%Shandong University: 15, 15.1%Vellore Institute of…Amrita Vishwa Vidyap…Magna Graecia Univer…Qufu Normal University
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 Qufu Normal UniversityChina 52.11.0%24.4×21 +619.7%
2 Magna Graecia UniversityItaly 51.37.3%24.6×12 +171.0%
3 Vellore Institute of Technology UniversityIndia 50.921.3%3.6×17 +647.6%
4 Amrita Vishwa VidyapeethamIndia 47.810.4%6.2×16 +342.9%
5 University of North Carolina at Chapel HillUnited States 47.35.9%5.6×45 +93.8%
6 Siksha O Anusandhan UniversityIndia 47.215.0%14.1×14 -24.6%
7 University of PennsylvaniaUnited States 46.733.4%2.9×13 +9.5%
8 Harvard UniversityUnited States 46.023.0%3.4×20 -13.0%
9 University of Chinese Academy of SciencesChina 43.324.7%1.5×12 +157.9%
10 Shandong UniversityChina 39.715.1%2.6×15 +167.8%

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 Gene expression and cancer classification research growing?

Output in 2018–2022 was 1% higher than in 2013–2017, peaking in 2008.

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.