Published by: Elsevier
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Biology and Biochemistry | 623 | 15 | 17 | 9 |
The objective of Cell Regeneration is to combine knowledge in the areas of Stem cell, Cell biology, Induced pluripotent stem cell, Regeneration (biology) and Embryonic stem cell. The journal explores topics in Stem cell which can be helpful for research in disciplines like Computational biology, Mesenchymal stem cell, Zebrafish and Bioinformatics. In Cell Regeneration, Regenerative medicine, Genome, Gene, CRISPR and Transcriptome are investigated in conjunction with one another to address concerns in Computational biology research.
Topics in Bioinformatics explored in Cell Regeneration were investigated in conjunction with research in DNA, Ectopic expression, Gene knockout, Transcription (biology) and Cell-penetrating peptide. The concepts on Cell biology presented in Cell Regeneration can also apply to other research fields, including Cell, Reprogramming, SOX2, Transcription factor and Epigenetics. The journal explores issues in Reprogramming which can be linked to other research areas like Cell potency and Somatic cell.
The studies in Induced pluripotent stem cell featured incorporate elements of Organoid and Adult stem cell. In addition to Regeneration (biology) research, the journal aims to explore topics under Homeostasis, Vertebrate, Function (biology), Signal transduction and Myocardial infarction. Aside from discussions in Embryonic stem cell, it also deals with the subject of Neural stem cell which intersects with Neural development disciplines.
Cell biology, Stem cell, Induced pluripotent stem cell, Bioinformatics and Adipose tissue are the main subjects of interest in the journal papers. While Cell biology is the focus of the journal articles, it also provides insights into the studies of Gene knockout, Gene targeting, Gene and Cas9. Aside from research in Stem cell, the journal papers also discuss Population studies.
Cell Regeneration mainly tackles studies in Stem cell, Cell biology, Regeneration (biology), Signal transduction and Computational biology. The majority of Stem cell studies in the journal are focused on the subject of Progenitor cell. The work on Cell biology tackled in Cell Regeneration brings together disciplines like SOX2 and Induced pluripotent stem cell.
Regeneration (biology) research presented in the journal encompasses a variety of subjects, including Vertebrate, Akt/PKB signaling pathway, Neuroscience and Function (biology). The close relationship between Myocardial infarction and Gene silencing, microRNA, Cardiomyocyte proliferation and Gene expression is one of the points of interest dissected in Signal transduction research. It addresses concerns in Computational biology which are intertwined with other disciplines, such as Regenerative medicine, Genome editing, CRISPR, Human disease and Nervous system.
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 Cell Regeneration (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 Cell Regeneration (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, 3.03% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 59.38% were posted by at least one author from the top 10 institutions publishing in the journal. Another 12.50% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 6.25% of all publications and 21.88% 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.
The application of stem cell research has opened new fields in medicine, particularly in use for potential treatments of diseases and therapeutics, such as advanced therapies for neurological disorders, heart disease, diabetes, and cancer among others. It has significantly altered the landscape of healthcare provision, driving advancements in personalized medicine, cell-based therapies, and genetic diseases studies. Importantly, stem cell research has instigated a shift towards an increased interest in coding and billing in the medical field, which has expanded the range of professions in healthcare. For instance, a career as a medical coder has become increasingly popular, especially in states such as Arizona. A medical coder interprets and transcribes medical procedures into a universal code, which is then used for billing patients and insurance companies. If you're interested in the field of medicine and stem cell research and considering a new career path, you might want to learn more about how to be a medical coder in Arizona. Transitioning into this field could provide you with a fresh perspective and a unique opportunity to contribute to the advancement of medical science in the age of stem cell research. Want to find out more about this burgeoning career pathway? Take a look at our career guide for a more detailed explanation of how to be a medical coder in Arizona.
Joana Esteves de Lima;Frédéric Relaix
(2021)Pengze Yan;Jie Ren;Weiqi Zhang;Jing Qu
(2020)Xing Yu Li;Po Sing Leung
(2020)Ce Gao;Jinrong Peng
(2021)Jiaqi Sun;Junzheng Yang;Xiaoli Miao;Horace H. Loh
(2021)Feng Chen;Delai Huang;Delai Huang;Hui Shi;Hui Shi;Ce Gao
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