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Topic · Biochemistry

Blood transfusion and management

Blood transfusion and management is a research topic within Biochemistry. Science Explorer counts 23k research works in it since 1950. 13.3% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the effects of blood transfusion, including the use of tranexamic acid, in various clinical scenarios such as trauma, cardiac surgery, and critical care. It explores the impact of transfusion on outcomes such as mortality, morbidity, and complications related to anemia and hemorrhage. Additionally, it delves into strategies for perioperative management and the occurrence of transfusion-related acute lung injury.

  • Blood Transfusion
  • Hemorrhage
  • Anemia
  • Tranexamic Acid
  • Cardiac Surgery
  • Critical Care
  • Red Blood Cell
  • Platelet Transfusion
  • Perioperative Management
  • Transfusion-related Acute Lung Injury
Research works
23k
fractional, since 1950
In the world top 10%
3.1k
per year above
Top-10% rate
13.3%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+15%
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 Blood transfusion and management research?

By volume, the United States and China publish the most (999 and 435 works in 2022–2025).

By volume, 2022–2025

  1. 1 United States 999 works
  2. 2 China 435 works
  3. 3 India 254 works
  4. 4 United Kingdom 199 works
  5. 5 Brazil 195 works
  6. 6 Canada 162 works
  7. 7 Germany 143 works
  8. 8 France 127 works
  9. 9 Japan 118 works
  10. 10 Australia 112 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: 36.4%China: 15.9%India: 9.3%United Kingdom: 7.2%6 others listed: 31.2%36%largest
United States999 · 36.4%China435 · 15.9%India254 · 9.3%United Kingdom199 · 7.2%6 others listed857 · 31.2%

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

Which institutions lead Blood transfusion and management research?

By volume in 2022–2025, Chinese Academy of Medical Sciences & Peking Union Medical College publishes the most Blood transfusion and management research, followed by Grupo Hospitalar Conceição and Canadian Blood Services.

Who are the leading researchers in Blood transfusion and management?

The most-cited researchers publishing on Blood transfusion and management include Jean‐Louis Vincent.

  1. 1 Jean‐Louis Vincent Belgium 3.1k citations

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

Where is Blood transfusion and management research done?

The largest centres of Blood transfusion and management research in 2022–2025 are Beijing (China), London (United Kingdom), New York (United States) and Seoul (South Korea). Among places with at least 20 works in it, it is an unusually large share of all research in Porto Alegre.

Largest cities, 2022–2025

  1. 1 Beijing China 79 works
  2. 2 London United Kingdom 58 works
  3. 3 New York United States 50 works
  4. 4 Seoul South Korea 47 works
  5. 5 Paris France 46 works
  6. 6 Baltimore United States 39 works
  7. 7 São Paulo Brazil 38 works
  8. 8 Chengdu China 36 works
  9. 9 Boston United States 34 works
  10. 10 Istanbul Türkiye 33 works

Where it is the local speciality

  1. Porto AlegreBR · 23.4 works5.4×
← less than its size predictsmore →

Location quotient: how much more of its research is in Blood transfusion and management than the world average.

See Blood transfusion and management on the map

Where is the best place to study Blood transfusion and management?

Among universities, judged by research, University of Pittsburgh, Johns Hopkins University and University of Toronto 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 15.02%fractional works in this node (log) →share in the world top 10% →University of Pittsburgh: 12, 24.5%Johns Hopkins University: 14, 12.4%University of Toronto: 13, 15.0%University of Alabama at Birmingham: 10, 13.1%McMaster University: 10, 18.3%University of Colorado Denver: 8, 18.6%High Institute for Education and Research in Transfusion Medicine: 9, 4.9%Chinese Academy of Medical Sciences & Peking Union Medical College: 17, 4.6%University of Southern California: 9, 22.5%Harvard University: 9, 16.3%University of Pittsb…University of TorontoUniversity of Alabam…Johns Hopkins Univer…
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 University of PittsburghUnited States 56.124.5%4.3×12 +7.1%
2 Johns Hopkins UniversityUnited States 47.712.4%3.5×14 +66.2%
3 University of TorontoCanada 47.015.0%2.4×13 +51.5%
4 University of Alabama at BirminghamUnited States 46.713.1%5.7×10 +99.7%
5 McMaster UniversityCanada 46.118.3%4.8×10 -21.8%
6 University of Colorado DenverUnited States 46.018.6%6.6×8 +34.9%
7 High Institute for Education and Research in Transfusion MedicineIran 43.74.9%318.7×9 +54.7%
8 Chinese Academy of Medical Sciences & Peking Union Medical CollegeChina 43.54.6%4.7×17 +49.5%
9 University of Southern CaliforniaUnited States 43.422.5%3.1×9 +48.9%
10 Harvard UniversityUnited States 40.716.3%2.0×9 +68.3%

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 Blood transfusion and management research growing?

Output in 2018–2022 was 15% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Blood transfusion and management.

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.