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Topic · Neurology

Long-Term Effects of COVID-19

Long-Term Effects of COVID-19 is a research topic within Neurology. Science Explorer counts 32k research works in it since 1951. 19.2% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the neurological manifestations and long-term effects of COVID-19 infection, including post-acute COVID-19 syndrome, neuroinvasion potential, neuropsychiatric presentations, and cognitive impairment. It explores the central nervous system involvement, respiratory failure, neuropathology, and chronic fatigue experienced by patients after acute COVID-19.

  • Neurologic Manifestations
  • Post-acute COVID-19 Syndrome
  • Long COVID
  • Neuropsychiatric Presentations
  • Neuroinvasion Potential
  • Respiratory Failure
  • Central Nervous System Involvement
  • Neuropathology
  • Cognitive Impairment
  • Chronic Fatigue
Research works
32k
fractional, since 1951
In the world top 10%
6.2k
per year above
Top-10% rate
19.2%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+2587%
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 Long-Term Effects of COVID-19 research?

By volume, the United States and China publish the most (2.8k and 1k works in 2022–2025).

By volume, 2022–2025

  1. 1 United States 2.8k works
  2. 2 China 1k works
  3. 3 India 960 works
  4. 4 United Kingdom 793 works
  5. 5 Italy 792 works
  6. 6 Brazil 785 works
  7. 7 Germany 605 works
  8. 8 Russia 601 works
  9. 9 Spain 592 works
  10. 10 Türkiye 570 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: 29.7%China: 10.6%India: 10.1%United Kingdom: 8.3%6 others listed: 41.3%30%largest
United States2,839 · 29.7%China1,009 · 10.6%India960 · 10.1%United Kingdom793 · 8.3%6 others listed3,945 · 41.3%

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

Which institutions lead Long-Term Effects of COVID-19 research?

By volume in 2022–2025, University of North Carolina at Chapel Hill publishes the most Long-Term Effects of COVID-19 research, followed by Sağlık Bilimleri Üniversitesi and All India Institute of Medical Sciences.

By volume, 2022–2025

  1. 1 University of North Carolina at Chapel HillUnited States 58 works
  2. 2 Sağlık Bilimleri ÜniversitesiTürkiye 55 works
  3. 3 All India Institute of Medical SciencesIndia 50 works
  4. 4 Tehran University of Medical SciencesIran 45 works
  5. 5 Universidade de São PauloBrazil 43 works
  6. 6 Harvard UniversityUnited States 40 works
  7. 7 University College LondonUnited Kingdom 39 works
  8. 8 Sechenov UniversityRussia 39 works
  9. 9 Shahid Beheshti University of Medical SciencesIran 36 works
  10. 10 Istituti di Ricovero e Cura a Carattere ScientificoItaly 36 works

Who are the leading researchers in Long-Term Effects of COVID-19?

The most-cited researchers publishing on Long-Term Effects of COVID-19 include Aziz Sheikh.

  1. 1 Aziz Sheikh United Kingdom 5.8k citations

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

Where is Long-Term Effects of COVID-19 research done?

The largest centres of Long-Term Effects of COVID-19 research in 2022–2025 are London (United Kingdom), Moscow (Russia), Tehran (Iran) and Beijing (China).

Largest cities, 2022–2025

  1. 1 London United Kingdom 262 works
  2. 2 Moscow Russia 239 works
  3. 3 Tehran Iran 213 works
  4. 4 Beijing China 181 works
  5. 5 São Paulo Brazil 179 works
  6. 6 New York United States 179 works
  7. 7 Istanbul Türkiye 169 works
  8. 8 Madrid Spain 165 works
  9. 9 Rome Italy 158 works
  10. 10 Tokyo Japan 130 works
See Long-Term Effects of COVID-19 on the map

Where is the best place to study Long-Term Effects of COVID-19?

Among universities, judged by research, Victor Babeș University of Medicine and Pharmacy Timișoara, University College London and Karolinska Institutet 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 30.7%fractional works in this node (log) →share in the world top 10% →Victor Babeș University of Medicine and Pharmacy Timișoara: 15, 31.7%University College London: 40, 35.6%Karolinska Institutet: 32, 25.3%Albert Einstein College of Medicine: 13, 43.9%Johns Hopkins University: 35, 29.6%University of Hong Kong: 14, 46.1%Medical University of Białystok: 14, 18.0%Isfahan University of Medical Sciences: 28, 8.8%Harvard University: 40, 30.7%University of Oxford: 24, 37.3%Albert Einstein Coll…University College L…Victor Babeș Univers…Karolinska Institutet
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 Victor Babeș University of Medicine and Pharmacy TimișoaraRomania 59.531.7%11.1×15 —
2 University College LondonUnited Kingdom 54.535.6%1.9×40 +36.8%
3 Karolinska InstitutetSweden 53.525.3%4.8×32 +19.4%
4 Albert Einstein College of MedicineUnited States 53.043.9%4.5×13 —
5 Johns Hopkins UniversityUnited States 52.729.6%2.2×35 +100.0%
6 University of Hong KongHong Kong 50.546.1%1.1×14 —
7 Medical University of BiałystokPoland 50.118.0%10.6×14 —
8 Isfahan University of Medical SciencesIran 49.68.8%8.2×28 +76.1%
9 Harvard UniversityUnited States 49.030.7%2.1×40 +8.0%
10 University of OxfordUnited Kingdom 48.237.3%1.2×24 —

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 Long-Term Effects of COVID-19 research growing?

Output in 2018–2022 was 2587% higher than in 2013–2017, peaking in 2021. The fastest-growing topics are Long-Term Effects of COVID-19.

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.