| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Biology and Biochemistry | 241 | 219 | 216 | 24 |
| Medicine | 1176 | 125 | 123 | 20 |
The journal was organized to reinforce research efforts on Cell biology, Internal medicine, Endocrinology, Genetics and Immunology. The journal explores topics in Cell biology which can be helpful for research in disciplines like Mutant and Zebrafish. Presentations on Genetics include those discussing Phenotype, Gene, Mutation and Drosophila melanogaster.
In it, Cancer research and Disease are investigated in conjunction with one another to address concerns in Immunology research. While Disease Models & Mechanisms focused on Cancer research, it was also able to explore topics like Carcinogenesis and Cancer.
The journal publications investigate studies in Disease, Immunology, Cell biology, Genetics and Zebrafish. The published papers facilitate discussions on Disease that incorporate concepts from other fields like Drosophila melanogaster, Neuroscience and Bioinformatics. The studies on Immunology discussed at the published articles can also contribute to research in the domains of Extracellular matrix and Cancer research.
The concepts of Serendipity, Multimedia, Bit (key), Trigeminal ganglion and Neurogenesis are tackled in the journal. It holds forums on Trigeminal ganglion that merges themes from other disciplines such as Neurodevelopmental disorder, Sensory neuron, Neural crest and Ganglion. Research in the field of Neuroscience was used to conduct the presented Neurogenesis study.
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 Disease Models & Mechanisms (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 Disease Models & Mechanisms (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 2022 edition, 33.33% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 0.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 50.00% of all publications and 50.00% 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.
Having a grasp of these research topics can open a variety of paths for those interested in pursuing a career in medical, research, and allied health sectors. For instance, important roles in medical laboratories and healthcare organizations can be fulfilled by certified medical assistants, especially those who bring an evidence-based understanding from published research in the Disease Models & Mechanisms Journal to their work.
One of the growing roles in the healthcare field is a medical assistant. A medical assistant serves a key role in healthcare delivery by aiding physicians and other healthcare professionals in diverse clinical and administrative duties. Given the research-expansive nature of Disease Models & Mechanisms journal, having a grasp of topics discussed herein can contribute to their clinical skills and patient care proficiency. In Idaho, for example, there are various respected programs that can lead to medical assistant certification in Idaho following a comprehensive education and practical training.
Beyond the practical aspects, those engaged in the field derive satisfaction from contributing to patient wellness while advancing their understanding of critical health issues as discussed in the top research topics of this journal - from cell biology, endocrinology, to genetics. Indeed, understanding advancements in disease models and mechanisms can make a healthcare professional, such as a medical assistant, stand out in their field.
Michelle F. Griffin;Heather E. desJardins-Park;Shamik Mascharak;Mimi R. Borrelli
(2020)Kim A. Caldwell;Kim A. Caldwell;Corey W. Willicott;Guy A. Caldwell;Guy A. Caldwell
(2020)Marlies P. Rossmann;Marlies P. Rossmann;Sonia M. Dubois;Suneet Agarwal;Leonard I. Zon;Leonard I. Zon
(2021)John R. P. Knight;Gavin Garland;Tuija Pöyry;Emma Mead
(2020)Jennifer Morgan;Jennifer Morgan;Terence Partridge;Terence Partridge;Terence Partridge
(2020)Li Wang;Matteo Astone;Sk Kayum Alam;Zhu Zhu
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