2405-805X
Published by: KeAi Communications
http://www.keaipublishing.com/en/journals/synthetic-and-systems-biotechnology/
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Biology and Biochemistry | 485 | 32 | 61 | 13 |
The topics of Computational biology, Biochemistry, Synthetic biology, Metabolic engineering and Gene are the focal point of discussions in Synthetic and Systems Biotechnology. CRISPR, DNA, Polyketide synthase, Polyketide and Streptomyces are some topics wherein Computational biology research discussed in it have an impact. Genome editing and Cas9 are all aspects of CRISPR discussed in the journal.
The Biochemistry research presented places emphasis on topics like Biosynthesis, Fermentation, Enzyme, Yeast and Heterologous. Enzyme and Natural product are closely related fields of research discussed in the journal. In addition to Synthetic biology research, the journal aims to explore topics under Cell-free protein synthesis, Biochemical engineering, Biomanufacturing, Protein engineering and Drug discovery.
The presentations focused mostly on Cell-free protein synthesis in an attempt to further explore topics in Protein biosynthesis. In it, Corynebacterium glutamicum, Metabolic pathway and Escherichia coli are investigated in conjunction with one another to address concerns in Metabolic engineering research. The journal explores studies in Gene as part of the wider topic of Genetics.
The journal papers investigate areas of study like Metabolic engineering, Synthetic biology, Biochemistry, Computational biology and Biochemical engineering. While work presented in the most cited publications provide substantial information on Synthetic biology, it also covers topics in Biotechnology, Gene, Drug discovery and Genomics. Issues in Computational biology were discussed in the journal articles, taking into consideration concepts from other disciplines like Genome editing, Cas9, Genome, CRISPR and Regulation of gene expression.
Synthetic and Systems Biotechnology aims to foster the development of research in Biochemistry, Computational biology, Synthetic biology, Gene and Enzyme. It aims to address concerns in Biochemistry, specifically in the areas of Biosynthesis, Metabolic engineering, Fermentation, Green fluorescent protein and Heterologous. The studies in Metabolic engineering featured incorporate elements of Corynebacterium glutamicum, Messenger RNA and Metabolic pathway.
Domain (software engineering), Protein domain, Aptamer and CRISPR are some topics wherein Computational biology research discussed in the journal have an impact. The research on Synthetic biology tackled can also make contributions to studies in the areas of Bioremediation, Bacillus, Spore, Bacillus subtilis and Natural product. The Gene study presented in it encompasses related topics like Genome and Gene expression and also examines its connection to subjects such as Significant difference.
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.
The top authors publishing in Synthetic and Systems Biotechnology (based on the number of publications) are:
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.
Only papers with recognized affiliations are considered
The top affiliations publishing in Synthetic and Systems Biotechnology (based on the number of publications) are:
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.
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, 2.78% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 60.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.71% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.14% of all publications and 17.14% were from other institutions.
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.
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.
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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Given the challenging nature of Synthetic and Systems Biotechnology, it is beneficial for those interested in pursuing a career in this field to have an understanding of the most sought-after qualifications and the steps they can take to become successful researchers. Many globally recognized universities offer comprehensive courses that delve into Synthetic and Systems Biotechnology. Holding a degree in computational biology, biochemistry or molecular biology can pave the way for a rewarding career in Synthetic and Systems Biotechnology. It's essential to have a deep understanding and interest in the focal areas of Synthetic and Systems Biotechnology, such as Computational biology, Biochemistry, Synthetic biology, Metabolic engineering and Gene technologies. Furthermore, being well-versed in relevant procedures and protocols, such as CRISPR and DNA sequencing, is crucial. Aspiring Synthetic and Systems Biotechnologists can also undertake internships in the field to gain valuable real-world experience. Networking and collaborating with established researchers can further enhance your career prospects. Meanwhile, if you are looking at focusing on a specific area within this field, becoming a specialist, such as a nutritionist, is a worthwhile consideration. For instance, if you are wondering how to become a nutritionist in west virginia, we have detailed guidelines on that as well. Career paths in Synthetic and Systems Biotechnology are as diverse as the subject matter itself—unique opportunities continue to emerge as the field expands and evolves. Stay updated on topical trends and breakthroughs in the field, and continue to enhance your knowledge and expertise. Your contribution can significantly impact the future of Synthetic and Systems Biotechnology.
Jing Liu;Sheng Liu;Zhao Zhang;Xuejun Lee
(2021)Pingping Wang;Jiali Wang;Jiali Wang;Guoping Zhao;Xing Yan
(2021)Xiangxiang Zhao;Zhengduo Wang;Bowen Yang;Zilong Li
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