| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Microbiology | 252 | 7 | 8 | 6 |
| Biology and Biochemistry | 348 | 75 | 78 | 18 |
| Chemistry | 797 | 22 | 22 | 8 |
Biochemistry, Molecular biology, High-throughput screening, Drug discovery and Cell biology are among the topics commonly tackled in Journal of Biomolecular Screening. Topics like Enzyme, Kinase, Small molecule, Peptide and High-Throughput Screening Assays are tackled as part of the discussions on Biochemistry. The concepts on Molecular biology presented in the journal can also apply to other research fields, including Cell culture, Transfection, Cell, Receptor and Reporter gene.
Receptor research presented is mostly focused on the subject of G protein-coupled receptor. Topics in High-throughput screening were tackled in line with various other fields like Nanotechnology, Chromatography and Fluorescence. The journal emphasizes research on Chromatography, which includes concerns such as Mass spectrometry.
The work on Drug discovery tackled in it brings together disciplines like Computational biology and Pharmacology. In addition to Computational biology research, Journal of Biomolecular Screening aims to explore topics under Genetics and Bioinformatics. The Cell biology study featured in it draws connections with the study of High-content screening.
The journal articles investigate studies in Biochemistry, High-throughput screening, Drug discovery, Molecular biology and Computational biology. The published articles explore research in Fluorescence and overlapping concepts in Biophysics to expand the discourse in Biochemistry. The most cited papers focus on Drug discovery but the discussions also offer insight into other areas such as Nanotechnology, Pharmacology and High-content screening.
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 Journal of Biomolecular Screening (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 Journal of Biomolecular Screening (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 2018 edition, 0.00% 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 0.00% of all publications and 100.00% 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.
Tasuku Ishida;Alessio Ciulli
(2021)Wei Zhu;Catherine Z. Chen;Kirill Gorshkov;Miao Xu
(2020)Kanchan Devkota;Matthieu Schapira;Matthieu Schapira;Sumera Perveen;Aliakbar Khalili Yazdi
(2021)Emery Smith;Meredith E. Davis-Gardner;Ruben D. Garcia-Ordonez;Tu Trinh Nguyen
(2020)Richard J. A. Goodwin;Richard J. A. Goodwin;Zoltan Takats;Zoltan Takats;Josephine Bunch;Josephine Bunch;Josephine Bunch
(2020)Mark J Henderson;Marc A Holbert;Anton Simeonov;Lorena A Kallal
(2020)Shuaizhang Li;Andrew J. Li;Jameson Travers;Tuan Xu
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