Field-Flow Fractionation Techniques
Field-Flow Fractionation Techniques is a research topic within Computational Mechanics. Science Explorer counts 10k research works in it since 1950. 10.2% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the study of thermophoresis and thermodiffusion, particularly in the context of molecular interactions, colloidal suspensions, and biological liquids. The research covers topics such as field-flow fractionation, nanoparticle behavior, protein binding assays, and the effects of temperature gradients on biomolecular interactions.
- Thermophoresis
- Thermodiffusion
- Field-Flow Fractionation
- Molecular Interaction
- Colloidal Suspensions
- Temperature Gradient
- Biological Liquids
- Nanoparticles
- Protein Binding
- Microscale Thermophoresis
- Research works
- 10k fractional, since 1950
- In the world top 10%
- 1k per year above
- Top-10% rate
- 10.2% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- -17% the tick is no change
- Largest producer
Russia
32% of the 10 largest, 2022-now
Which countries lead Field-Flow Fractionation Techniques research?
By volume, Russia and the United States publish the most (296 and 156 works in 2022-now).
By volume, 2022-now
- 1
Russia 296 works
- 2
United States 156 works
- 3
China 151 works
- 4
India 67 works
- 5
Germany 62 works
- 6
France 48 works
- 7
Ukraine 44 works
- 8
Japan 36 works
- 9
United Kingdom 26 works
- 10
Italy 25 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.
Shares of the rows listed above, not of the whole node.
Which institutions lead Field-Flow Fractionation Techniques research?
By volume in 2022-now, Russian Academy of Sciences publishes the most Field-Flow Fractionation Techniques research, followed by Centre National de la Recherche Scientifique and Ural Federal University.
By volume, 2022-now
- 1
Russian Academy of Sciences
Russia 72 works
- 2
Centre National de la Recherche Scientifique
France 20 works
- 3
Ural Federal University
Russia 14 works
- 4
Samara National Research University
Russia 14 works
- 5
Chinese Academy of Sciences
China 13 works
- 6
Helmholtz Association of German Research Centres
Germany 11 works
- 7
Bauman Moscow State Technical University
Russia 10 works
- 8
National Academy of Sciences of Ukraine
Ukraine 9 works
- 9
Moscow Aviation Institute
Russia 9 works
- 10
Kazan State Technological University
Russia 8 works
Who are the leading researchers in Field-Flow Fractionation Techniques?
The most-cited researchers publishing on Field-Flow Fractionation Techniques include Markus Antonietti.
- 1
Markus Antonietti
Germany 185k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Field-Flow Fractionation Techniques research done?
The largest centres of Field-Flow Fractionation Techniques research in 2022-now are Moscow (Russia), Beijing (China), Saint Petersburg (Russia) and Yekaterinburg (Russia). Among places with at least 20 works in it, it is an unusually large share of all research in Moscow and Saint Petersburg.
Largest cities, 2022-now
Where it is the local speciality
- MoscowRU · 117.2 works9.5×
- Saint PetersburgRU · 23.9 works7.5×
Location quotient: how much more of its research is in Field-Flow Fractionation Techniques than the world average.
Where is the best place to study Field-Flow Fractionation Techniques?
Among universities, judged by research, Ural Federal University, Samara National Research University and Kazan State Technological 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.
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.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Ural Federal University |
68.1 | 1.9% | 47.0× | 14 | -2.1% |
| 2 | Samara National Research University |
67.6 | 3.3% | 102.2× | 14 | -51.5% |
| 3 | Kazan State Technological University |
24.1 | 2.0% | 111.5× | 8 | +4.1% |
| 4 | Bauman Moscow State Technical University |
18.7 | 1.1% | 49.3× | 10 | -66.8% |
| 5 | National Research Nuclear University MEPhI |
13.1 | 0.0% | 60.6× | 8 | -41.2% |
| 6 | Moscow Aviation Institute |
10.9 | 0.0% | 54.6× | 9 | +0.8% |
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 Field-Flow Fractionation Techniques, country by countryIs Field-Flow Fractionation Techniques research growing?
Output in 2022-2025 was 17% lower than in 2018-2021, peaking in 2018.
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 Field-Flow Fractionation Techniques as a percentage of every work published that year, 0.0053% in 2024.
Fractional works of Field-Flow Fractionation Techniques 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.
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.
Discussion
Ask a question or share a note about Field-Flow Fractionation Techniques. Posts are plain text and can be reported.