| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Biology and Biochemistry | 622 | 15 | 31 | 9 |
| Chemistry | 738 | 30 | 32 | 9 |
The journal is mainly concerned with subjects like Chromatography, Bioanalysis, Pharmacology, Nanotechnology and Lc ms ms. The work tackled in the journal goes beyond the discipline of Chromatography as it also encompasses Pharmacokinetics. The Bioanalysis study featured falls within the larger field of Analytical chemistry.
More specifically, the research on Pharmacology in the journal is related to Drug. Discussions in the journal are anchored in the subject of Lc ms ms and the similar topic of Human plasma. The journal investigates Computational biology research which frequently intersects with Bioinformatics.
The most cited publications tackle a plethora of topics, such as Bioanalysis, Chromatography, Nanotechnology, Pharmacology and Computational biology. The most cited papers investigate Bioanalysis in the context of the closely related subject of areas like
Bioanalysis, Chromatography, Coronavirus disease 2019 (COVID-19), Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and Pharmacokinetics are the subjects of interest in Bioanalysis. It explores research in Bioanalysis alongside concepts in Drug development and other areas of study in Flow cytometry. Lc ms ms, Matrix (chemical analysis), Human plasma, Mass spectrometry and Uhplc ms ms are among the concentrations of Chromatography that garnered much attention in it.
The Coronavirus disease 2019 (COVID-19) works featured in the journal incorporate elements from Antibody and Intensive care medicine. Concepts in 2019-20 coronavirus outbreak, as well as related topics in Engineering ethics, are covered in the Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) research presented in Bioanalysis. Research in Pharmacokinetics discussed is concerned with the study of Pharmacology as a whole.
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 Bioanalysis (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 Bioanalysis (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, 11.59% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 35.25% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.20% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.48% of all publications and 45.08% 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.
Lilly Schwieler;Ada Trepci;Ada Trepci;Stanislaw Krzyzanowski;Sigurd Hermansson
(2020)Maryam Khoubnasabjafari;Vahid Jouyban-Gharamaleki;Reza Ghanbari;Abolghasem Jouyban;Abolghasem Jouyban
(2020)Francesco Loria;Michelania Manfredi;Gemma Reverter-Branchat;Jordi Segura
(2020)Susan Spitz;Yan Zhang;Sally Fischer;Kristina McGuire
(2021)Karen Am de Jong;Suse J van Breugel;Michel Jx Hillebrand;Hilde Rosing
(2020)Olivier Salamin;Federico Ponzetto;Michel Jean Cauderay;Julien Boccard
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