| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Biology and Biochemistry | 509 | 45 | 63 | 12 |
The discussions in the journal mainly cover the fields of Molecular biology, Biochemistry, Gene, Genetics and Recombinant DNA. Some problems in Molecular biology that were presented in it overlapped with concepts under Gene expression, DNA, Transfection, Complementary DNA and Polymerase chain reaction. Enzyme, Escherichia coli, Affinity chromatography, Amino acid and Mutant are among the concentrations of Biochemistry that garnered much attention in Molecular Biotechnology.
The research on Gene discussed in Molecular Biotechnology draws on the closely related field of Cell biology. Genetics research discussed connects with the study of Computational biology. Computational biology study tackled is connected to the field of Human genetics.
In addition to Recombinant DNA research, Molecular Biotechnology aims to explore topics under Antibody and Virology.
The most cited articles aim to foster the development of research in Molecular biology, Biochemistry, Genetics, Gene and Computational biology. The studies on Molecular biology discussed at the most cited papers can also contribute to research in the domains of Chinese hamster ovary cell, DNA, Transfection, Cell biology and Polymerase chain reaction. The published papers investigate Biochemistry research which frequently intersects with Antibody.
Molecular Biotechnology focuses largely on the fields of Cancer research, Biochemistry, Gene, Computational biology and Recombinant DNA. Molecular Biotechnology holds forums on Cancer research that merges themes from other disciplines such as Viability assay, Cell culture, Gene knockdown, Cell growth and microRNA. Research on Biochemistry presented in it focuses, in particular, on Enzyme, Escherichia coli and Heterologous expression.
The study on Gene presented in the journal intersects with subjects under the field of Molecular biology. The tackled Computational biology research is interrelated with Genome editing which concerns subjects like Human genetics. The journal focused on Recombinant DNA research but expanded to cover Virology.
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 Molecular 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 Molecular 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, 14.49% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 6.78% were posted by at least one author from the top 10 institutions publishing in the journal. Another 4.24% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 9.32% of all publications and 79.66% 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.
Fatemeh Hemmati;Mohammad Ahangarzadeh Rezaee;Saba Ebrahimzadeh;Leila Yousefi
(2021)Guddu Kumar Gupta;Mandeep Dixit;Rajeev Kumar Kapoor;Pratyoosh Shukla;Pratyoosh Shukla
(2021)Kian Leong Tan;Wui Chuen Chia;Chee Wun How;Yin Sim Tor
(2021)Irfan Navabshan;Balasubramaniyan Sakthivel;Rajesh Pandiyan;Mariya Gover Antoniraj
(2021)Carolin Sellmann;Lukas Pekar;Christina Bauer;Elke Ciesielski
(2020)Jiajun Chen;Ding Chen;Mengyu Ke;Shengyuan Ye
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