Published by: Oxford University Press
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Biology and Biochemistry | 661 | 16 | 19 | 8 |
Synthetic Biology was organized to reinforce research efforts on Synthetic biology, Computational biology, Escherichia coli, DNA and Gene. The concepts on Synthetic biology presented in Synthetic Biology can also apply to other research fields, including Genome, Software engineering, Engineering ethics and Metabolic engineering. Most of the Software engineering studies addressed also intersect with Automation.
The featured Metabolic engineering research is covered under the field of Enzyme. Some problems in Computational biology that were presented in it overlapped with concepts under RNA, Ribosome, Promoter, Translation (biology) and DNA sequencing. The journal focused on Translation (biology) research but expanded to cover Ribosomal RNA.
Research in the field of Biochemistry was used to conduct the presented Escherichia coli study. The journal emphasizes research on DNA, which includes concerns such as Oligonucleotide. More specifically, the research on Gene in Synthetic Biology is related to CRISPR.
Computational biology, Cell free, Gene, Cell-free protein synthesis and Escherichia coli are the main subjects of interest in the journal publications. The most cited papers focus on Computational biology but the discussions also offer insight into other areas such as Paenibacillus polymyxa, Phagemid and DNA. The Escherichia coli research presented in the published articles focuses mostly on Polyhydroxyalkanoates and, on occasion, topics in Enzyme, Synthetic biology and Metabolic engineering.
The topics of Computational biology, Synthetic biology, Workflow, Electronic circuit and Software engineering are the focal point of discussions in the journal. Synthetic Biology explores issues in Computational biology which can be linked to other research areas like Directed evolution, Transcription factor, Gene and Guide RNA. In addition to Gene research, it aims to explore topics under Emerging technologies, Selection (genetic algorithm) and Resilience (network).
The Synthetic biology works featured in Synthetic Biology incorporate elements from Antibiotics and Cell free. The overlapping concepts between Automation and Gene cluster, Transposon mutagenesis, Mutant and Strain (biology) are the key highlights of Software engineering study. While work presented in it provided substantial information on Distributed computing, it also covered topics in Plasmid, Golden Gate Cloning, Optimization problem and Restriction enzyme.
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 Biology (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 Biology (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, 2.86% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 35.29% were posted by at least one author from the top 10 institutions publishing in the journal. Another 26.47% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.71% of all publications and 23.53% 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.
Career opportunities in Synthetic Biology are broad and diverse, with promising future prospects. Given the expansive nature of the discipline, professionals with a background in Synthetic Biology can find job opportunities in academia, industry, healthcare, and even governmental agencies. Potential roles might include laboratory researchers, instructors, genetic counselors, bioinformatics specialists, and more. A career in Synthetic Biology can also intersect with the healthcare profession. For instance, trained medical assistants with a specialization in Synthetic Biology have unique advantages, particularly those who underwent a comprehensive program with a focus on both administrative and clinical aspects of healthcare. Georgia, in particular, boasts a few high-ranking institutions which offer these specialized programs. You can find a list of these schools and their detailed profiles on this medical assistant training in Georgia page. Graduates of these programs, alongside the regular medical assistant training, have gained a solid foundation in subjects such as DNA sequencing, genome sequencing, biochemistry, enzyme structures, and even computational biology. This blend of knowledge makes them incredibly versatile in various healthcare and research settings. Ultimately, the ability to use technological advancements for the betterment of human health and the environment is the principal goal of Synthetic Biology. With the fast pace at which the field is advancing, there is no better time than now to begin a career in this dynamic and rewarding discipline.
Mark S Dunstan;Christopher J Robinson;Adrian J Jervis;Cunyu Yan
(2020)Bernardo Pollak;Bernardo Pollak;Tamara Matute;Tamara Matute;Isaac Nuñez;Isaac Nuñez;Ariel Cerda;Ariel Cerda
(2020)Pablo Carbonell;Pablo Carbonell;Rosalind Le Feuvre;Eriko Takano;Nigel S Scrutton
(2020)Ashty S. Karim;Blake J. Rasor;Michael C. Jewett
(2020)Tabasum Farzaneh;Paul S Freemont
(2021)Ashty S Karim;Fungmin Eric Liew;Shivani Garg;Bastian Vögeli
(2020)Miho Takemura;Akiko Kubo;Asuka Watanabe;Hanayo Sakuno
(2021)Scott L. Nuismer;Nathan C. Layman;Alec J. Redwood;Baca Chan
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