Microbial Metabolic Engineering and Bioproduction
Microbial Metabolic Engineering and Bioproduction is a research topic within Molecular Biology. Science Explorer counts 63k research works in it since 1950. 9.9% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the field of metabolic engineering and synthetic biology, with an emphasis on genome-scale models, constraint-based models, and their application in biofuel production, microbial metabolism, pathway reconstruction, and biorefineries. The papers cover topics such as flux balance analysis, high-quality genome-scale metabolic reconstructions, programming cells for accelerated evolution, and the use of synthetic protein scaffolds to control metabolic flux.
- Metabolic Engineering
- Genome-Scale Models
- Constraint-Based Models
- Biofuel Production
- Microbial Metabolism
- Pathway Reconstruction
- Flux Balance Analysis
- Biorefineries
- Synthetic Biology
- Enzyme Database
- Research works
- 63k fractional, since 1950
- In the world top 10%
- 6.3k per year above
- Top-10% rate
- 9.9% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- -3% the tick is no change
- Largest producer
China
38% of the 10 largest, 2022-now
Which countries lead Microbial Metabolic Engineering and Bioproduction research?
By volume, China and the United States publish the most (2.6k and 1.1k works in 2022-now).
By volume, 2022-now
- 1
China 2.6k works
- 2
United States 1.1k works
- 3
India 912 works
- 4
Germany 534 works
- 5
Brazil 315 works
- 6
Japan 298 works
- 7
South Korea 290 works
- 8
United Kingdom 280 works
- 9
France 269 works
- 10
Spain 230 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 Microbial Metabolic Engineering and Bioproduction research?
By volume in 2022-now, Chinese Academy of Sciences publishes the most Microbial Metabolic Engineering and Bioproduction research, followed by Jiangnan University and Centre National de la Recherche Scientifique.
By volume, 2022-now
- 1
Chinese Academy of Sciences
China 218 works
- 2
Jiangnan University
China 195 works
- 3
Centre National de la Recherche Scientifique
France 77 works
- 4
Russian Academy of Sciences
Russia 67 works
- 5
East China University of Science and Technology
China 64 works
- 6
Technical University of Denmark
Denmark 59 works
- 7
Chinese Academy of Agricultural Sciences
China 56 works
- 8
Helmholtz Association of German Research Centres
Germany 54 works
- 9
Nanjing Tech University
China 53 works
- 10
Beijing University of Chemical Technology
China 52 works
Who are the leading researchers in Microbial Metabolic Engineering and Bioproduction?
The most-cited researchers publishing on Microbial Metabolic Engineering and Bioproduction include Rob Knight, George Davey Smith and Richard M. Durbin.
- 1
Rob Knight
United States 468k citations
- 2
George Davey Smith
United Kingdom 435k citations
- 3
Richard M. Durbin
United Kingdom 410k citations
- 4
Peer Bork
Germany 396k citations
- 5
Steven L. Salzberg
United States 372k citations
- 6
Jun Wang
China 340k citations
- 7
Matthias Mann
Germany 308k citations
- 8
Sudhir Kumar
United States 295k citations
- 9
Chris Sander
United States 276k citations
- 10
Heng Li
United States 270k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Microbial Metabolic Engineering and Bioproduction research done?
The largest centres of Microbial Metabolic Engineering and Bioproduction research in 2022-now are Beijing (China), Wuxi (China), Nanjing (China) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Wuxi, Kongens Lyngby and Jülich.
Largest cities, 2022-now
Where it is the local speciality
- WuxiCN · 227.8 works25×
- Kongens LyngbyDK · 59.1 works12×
- JülichDE · 26.0 works11×
- WageningenNL · 29.1 works7.8×
- BielefeldDE · 20.7 works7.5×
Location quotient: how much more of its research is in Microbial Metabolic Engineering and Bioproduction than the world average.
Where is the best place to study Microbial Metabolic Engineering and Bioproduction?
Among universities, judged by research, Jiangnan University, Korea Advanced Institute of Science and Technology and Chalmers University of Technology 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.
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 Microbial Metabolic Engineering and Bioproduction, country by countryIs Microbial Metabolic Engineering and Bioproduction research growing?
Output in 2022-2025 was 3% lower than in 2018-2021, peaking in 2013.
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 Microbial Metabolic Engineering and Bioproduction as a percentage of every work published that year, 0.040% in 2024.
Fractional works of Microbial Metabolic Engineering and Bioproduction 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
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