| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Genetics | 168 | 7 | 7 | 2 |
The journal tackles a plethora of topics, such as Internal medicine, Genotype, Genetics, Gene and Single-nucleotide polymorphism. The journal explores research in Oncology and overlapping concepts in Breast cancer to expand the discourse in Internal medicine. While it focused on Genotype, it was also able to explore topics like Immunology and Allele.
Meta Gene features Immunology research that overlaps with concepts in Disease. The journal investigates Allele research which frequently intersects with Case-control study. Genetics studies presented in Meta Gene focus on topics such as Exon, Mutation, Missense mutation, Genetic association and Genome.
The study of Cancer research and how it intertwines with concepts under Cancer were explored in the presented Gene research. The Single-nucleotide polymorphism works, particularly on SNP are tackled in Meta Gene. It explores issues in Meta-analysis which can be linked to other research areas like Odds ratio, Genetic model, Bioinformatics and Confidence interval.
The most cited papers investigate areas of study like Genetics, Genotype, Internal medicine, Gene and Allele. The journal papers discuss concepts in Single-nucleotide polymorphism, Gene expression and TCF7L2 under Genetics and how they intertwine with disciplines like Naked Neck. Issues in Internal medicine were discussed in the most cited articles, taking into consideration concepts from other disciplines like Endocrinology, Type 2 diabetes, Oncology and Bioinformatics.
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 Meta Gene (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 Meta Gene (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, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 100.00% 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 0.00% of all publications and 0.00% 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.
Musab M. Ali Albsheer;Musab M. Ali Albsheer;Ayman Hussien;Dominic Kwiatkowski;Muzamil Mahdi Abdel Hamid
(2020)Massimo Mezzavilla;Luisa Zupin;Chiara Ottavia Navarra;Roberto Di Lenarda
(2020)Weiwei Chen;Liang Yong;Huiyao Ge;Qiongqiong Xu
(2022)Wessam E. Sharaf-Eldin;Hala N. Soliman;Nahla N. Abdel-Aziz;Hasnaa M. Elbendary
(2020)Vikas Gupta;Poonam Mehta;Poonam Mehta;Ajay Kumar;Manoj Chaudhary
(2020)Omid Daneshjoo;Ali hosseini;Masoud Garshasbi;Antonio Pizzuti
(2020)Rabail Zehra Raza;Lina Ma;Zhang Zhang;Yiming Bao
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