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Circular RNAs in diseases

Circular RNAs in diseases is a research topic within Molecular Biology. Science Explorer counts 31k research works in it since 1961. 10.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the biogenesis, regulation, and diverse functions of circular RNAs, with a particular emphasis on their roles as microRNA sponges, potential cancer biomarkers, and their involvement in various cellular functions. The papers also explore the translation of circular RNAs, their association with exosomes, and their implications in disease.

  • Circular RNAs
  • Biogenesis
  • Regulation
  • MicroRNA Sponges
  • Cancer Biomarkers
  • Exosome
  • Translation
  • Splicing
  • Cellular Functions
  • Disease
Research works
31k
fractional, since 1961
In the world top 10%
3.1k
per year above
Top-10% rate
10.0%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
-21%
the tick is no change
Largest producer
China
73% of the 10 largest, 2022-now

Which countries lead Circular RNAs in diseases research?

By volume, China and the United States publish the most (5.9k and 656 works in 2022-now).

By volume, 2022-now

  1. 1 China 5.9k works
  2. 2 United States 656 works
  3. 3 Iran 402 works
  4. 4 India 310 works
  5. 5 Italy 175 works
  6. 6 Egypt 134 works
  7. 7 Germany 115 works
  8. 8 South Korea 115 works
  9. 9 Russia 109 works
  10. 10 Japan 104 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: 73.4%United States: 8.2%Iran: 5.0%India: 3.9%6 others listed: 9.4%73%largest
China5,863 · 73.4%United States656 · 8.2%Iran402 · 5.0%India310 · 3.9%6 others listed752 · 9.4%

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

Which institutions lead Circular RNAs in diseases research?

By volume in 2022-now, Nanjing Medical University publishes the most Circular RNAs in diseases research, followed by Central South University and Sun Yat-sen University.

Who are the leading researchers in Circular RNAs in diseases?

The most-cited researchers publishing on Circular RNAs in diseases include Zhong Lin Wang, Guido Kroemer and Gad A. Getz.

  1. 1 Zhong Lin Wang United States 491k citations
  2. 2 Guido Kroemer France 386k citations
  3. 3 Gad A. Getz United States 364k citations
  4. 4 Elaine R. Mardis United States 346k citations
  5. 5 Hermann Brenner Germany 343k citations
  6. 6 Jun Wang China 340k citations
  7. 7 John P. A. Ioannidis United States 317k citations
  8. 8 Gregory Y.H. Lip United Kingdom 311k citations
  9. 9 Robert A. Weinberg United States 301k citations
  10. 10 Richard A. Gibbs United States 292k 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 Circular RNAs in diseases?

The most cited paper in Circular RNAs in diseases is "MicroRNAs: Target Recognition and Regulatory Functions" (David P. Bartel, 2009), with 20,551 citations. Next come "Exosome-mediated transfer of mRNAs and microRNAs is a novel mechanism of genetic exchange between cells" (13,088) and "The functions of animal microRNAs" (10,912).

Most cited papers
#PaperReleasedCitations
1 MicroRNAs: Target Recognition and Regulatory Functions David P. Bartel · Cell Open access 2009 20,551
2 Exosome-mediated transfer of mRNAs and microRNAs is a novel mechanism of genetic exchange between cells Hadi Valadi, Karin M. Ekström, Apostolos Bossios et al. · Nature Cell Biology 7 May 2007 13,088
3 The functions of animal microRNAs Victor Ambros · Nature Sep 2004 10,912
4 MicroRNA expression profiles classify human cancers Jun Tao Lu, Gad A. Getz, Eric Alexander Miska et al. · Nature Jun 2005 9,627
5 Circular RNAs are a large class of animal RNAs with regulatory potency Sebastian Memczak, Marvin Jens, Antigoni L Elefsinioti et al. · Nature 26 Feb 2013 8,627
All 100 most cited papers, with filters and sorting

Where is Circular RNAs in diseases research done?

The largest centres of Circular RNAs in diseases research in 2022-now 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 Nantong and Hengyang.

Largest cities, 2022-now

  1. 1 BeijingChina 360 works
  2. 2 ShanghaiChina 358 works
  3. 3 GuangzhouChina 355 works
  4. 4 NanjingChina 247 works
  5. 5 ChangshaChina 233 works
  6. 6 WuhanChina 229 works
  7. 7 HangzhouChina 185 works
  8. 8 TehranIran 165 works
  9. 9 JinanChina 152 works
  10. 10 Xi'anChina 141 works

Where it is the local speciality

  1. NantongCN · 74.2 works18×
  2. HengyangCN · 49.6 works16×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Circular RNAs in diseases than the world average.

See Circular RNAs in diseases on the map

Where is the best place to study Circular RNAs in diseases?

Among universities, judged by research, Sun Yat-sen University, Hunan University of Traditional Chinese Medicine and Central South 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%10%20%30%mean 15.85%fractional works in this field (log) →share of work in the world top 10% →Hunan University of …Sun Yat-sen UniversityCentral South Univer…Nanjing Medical Univ…
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.

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 63.716.7%8.0×129 -39.2%
2Hunan University of Traditional Chinese MedicineChina 61.628.2%16.2×9 +268.1%
3Central South UniversityChina 57.612.5%9.1×138 -28.0%
4Nanjing Medical UniversityChina 55.79.7%22.8×159 -48.0%
5Sichuan UniversityChina 52.517.1%3.7×66 -11.6%
6Zhejiang UniversityChina 52.413.4%4.2×88 -37.5%
7Fudan UniversityChina 51.715.1%5.6×69 -36.4%
8Shanghai Jiao Tong UniversityChina 51.311.4%4.5×102 -43.0%
9Chengdu University of Traditional Chinese MedicineChina 51.114.4%10.7×21 +89.6%
10Harvard UniversityUnited States 51.020.0%1.1×27 -34.6%

Universities only. The score blends 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 Circular RNAs in diseases, country by country

Is Circular RNAs in diseases research growing?

Output in 2022-2025 was 21% lower than in 2018-2021, peaking in 2021.

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 Circular RNAs in diseases as a percentage of every work published that year, 0.037% in 2024.

still counting0.025%0.050%0.075%Circular RNAs in diseases0.030% in 202519801990200020102020

Fractional works of Circular RNAs in diseases 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%Circular RNAs in diseases9.8% in 202520102020

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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