Metabolic Engineering

Top Research Topics at Metabolic Engineering?

The topics of Biochemistry, Metabolic engineering, Escherichia coli, Fermentation and Enzyme are the focal point of discussions in Metabolic Engineering. Research on Biochemistry presented in the journal focuses, in particular, on Biosynthesis, Saccharomyces cerevisiae, Yeast, Metabolic pathway and Metabolism. In the Metabolism research discussed, Metabolic flux analysis and Citric acid cycle are all tackled.

Many of the studies tackled connect Metabolic flux analysis with a similar field of study like Pentose phosphate pathway. The Metabolic engineering research presented falls under the domain of Gene. The journal encompasses Gene studies in the context of Genetics as a whole.

While work presented in the journal provided substantial information on Escherichia coli, it also covered topics in Mutant and Strain (chemistry).

• Biochemistry (64.95%)
• Metabolic engineering (44.13%)
• Escherichia coli (21.09%)

What are the most cited papers published in the journal?

• The effects of alternate optimal solutions in constraint-based genome-scale metabolic models. (957 citations)
• Metabolic engineering of Escherichia coli for 1-butanol production. (770 citations)
• 13C metabolic flux analysis. (685 citations)

Research areas of the most cited articles at Metabolic Engineering:

The journal publications mostly deal with topics like Biochemistry, Metabolic engineering, Escherichia coli, Fermentation and Enzyme. The journal articles address concerns in Metabolic engineering which are intertwined with other disciplines, such as Metabolic flux analysis, Synthetic biology and Biochemical engineering. The journal articles hold forums on Escherichia coli that merge themes from other disciplines such as Yield (chemistry), Cofactor, Strain (chemistry) and Recombinant DNA.

What topics the last edition of the journal is best known for?

• Enzyme
• Gene
• Metabolism

The previous edition focused in particular on these issues:

The concepts of Metabolic engineering, Biochemistry, Computational biology, Synthetic biology and Escherichia coli are tackled in the journal. The featured Metabolic engineering research encompasses issues not only in the field but also those in the adjacent area of disciplines such as

• Flux (metabolism) which connect with Bioproduction,
• Flux balance analysis that connect with fields like Metabolic network.. Fermentation, Yeast, Biosynthesis, Enzyme and Saccharomyces cerevisiae studies are all carried out as a component of the study in Biochemistry presented.

The studies on Computational biology discussed can also contribute to research in the domains of Genome editing, Gene, CRISPR and Genome scale. Metabolic Engineering focuses on Synthetic biology but sometimes tackles the closely related topic of Biochemical engineering which is concerned with Process (engineering) and Bioprocess. The study on Escherichia coli presented is investigated in conjunction with research in Strain (chemistry).

The most cited articles from the last journal are:

• Machine learning for metabolic engineering: A review. (20 citations)
• Dynamic control in metabolic engineering: Theories, tools, and applications. (16 citations)
• Constructing an ethanol utilization pathway in Escherichia coli to produce acetyl-CoA derived compounds (9 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Top authors and change over time

The top authors publishing in Metabolic Engineering (based on the number of publications) are:

• Sang Yup Lee (52 papers) published 1 paper at the last edition, 2 less than at the previous edition,
• Gregory Stephanopoulos (51 papers) published 4 papers at the last edition the same number as at the previous edition,
• Jens Nielsen (51 papers) published 3 papers at the last edition the same number as at the previous edition,
• Jay D. Keasling (42 papers) published 1 paper at the last edition, 2 less than at the previous edition,
• Maciek R. Antoniewicz (37 papers) published 1 paper at the last edition, 2 less than at the previous edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Metabolic Engineering (based on the number of publications) are:

• Technical University of Denmark (93 papers) published 17 papers at the last edition, 7 more than at the previous edition,
• Chinese Academy of Sciences (90 papers) published 11 papers at the last edition, 1 more than at the previous edition,
• Massachusetts Institute of Technology (69 papers) published 5 papers at the last edition the same number as at the previous edition,
• Jiangnan University (51 papers) published 5 papers at the last edition, 3 less than at the previous edition,
• Lawrence Berkeley National Laboratory (48 papers) published 7 papers at the last edition, 2 more than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 1.83% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 32.92% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.80% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 23.60% of all publications and 31.68% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Related Fields and Futuristic Approach

In addition to the key focus areas discussed, the field of Metabolic Engineering shares its applicability and knowledge with various other disciplines. Significant areas include biomedical engineering, genetic engineering, stem cell research, and more. Furthermore, an area that holds promising potential in metabolic engineering is the education and training of future researchers and professionals in the field.

For instance, researchers and students interested in metabolic engineering and biochemistry can also explore the medical assistant field which offers comprehensive courses pertinent to biochemical processes and medical applications.

Students aiming to pursue their education in the medical assistant field could consider programs at distinguished institutions in New York. Notably, they could review the list of the best medical assistant schools and programs as per rankings and reviews given by Research.com, a trusted educational review platform.

Interested candidates can check out the medical assistant school in New York for more details.

The constructive and meaningful exchange of knowledge amongst related fields would inspire innovative approaches and construct a robust framework for the future of Metabolic Engineering.