| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Biology and Biochemistry | 688 | 21 | 19 | 7 |
| Chemistry | 944 | 12 | 10 | 5 |
The journal primarily tackles Biochemistry, Protein engineering, Molecular biology, Mutant and Antibody. Biochemistry and Stereochemistry are closely related fields of research discussed in it. The journal facilitates discussions on Stereochemistry that incorporate concepts from other fields like Substrate (chemistry), Binding site and Active site.
Protein Engineering Design & Selection holds forums on Protein engineering that merges themes from other disciplines such as Protein structure, Peptide sequence, Computational biology and Biophysics. The subject of Crystallography, which is connected to the field of Protein folding, serves as the foundation of the Protein structure research featured in the journal. Topics in Computational biology were tackled in line with various other fields like Genetics and Bioinformatics.
The featured Molecular biology studies mainly concentrate on Phage display but also cover areas of interest in Peptide library. In Protein Engineering Design & Selection, Mutation and Thermostability are investigated in conjunction with one another to address concerns in Mutant research. The Antibody study featured in the journal draws parallels with the field of Antigen.
The published articles are organized to address concerns in the fields of Biochemistry, Molecular biology, Antibody, Protein structure and Computational biology. The most cited articles explore research in Phage display and overlapping concepts in Peptide library to expand the discourse in Molecular biology. The most cited articles with studies in Protein structure featured incorporate elements of Protein aggregation, Biophysics, Protein folding, Stereochemistry and Binding site.
Protein Engineering Design & Selection investigates areas of study like Protein engineering, Computational biology, Protein design, Phage display and Directed evolution. Issues in Protein engineering were discussed, taking into consideration concepts from other disciplines like Nanotechnology, Selection (genetic algorithm) and Yeast display. The studies in Computational biology featured incorporate elements of Mutagenesis (molecular biology technique) and Nucleocapsid Proteins.
While it focused on Mutagenesis (molecular biology technique), it was also able to explore topics like RNase H, Murine leukemia virus, Complementary DNA, Molecular biology and Cysteine. Research in Phage display tackled falls within the umbrella of Peptide. Chromatography, Coating and Consumables are some topics wherein Directed evolution research discussed in Protein Engineering Design & Selection have an impact.
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 Protein Engineering Design & Selection (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 Protein Engineering Design & Selection (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, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 4.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 12.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 28.00% of all publications and 56.00% 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.
Adam M Damry;Colin J Jackson
(2021)Michael Ulitzka;Michael Ulitzka;Stefania Carrara;Stefania Carrara;Julius Grzeschik;Henri Kornmann
(2020)Kresten Lindorff-Larsen;Kaare Teilum
(2021)Joshua Laniado;Kyle Meador;Todd O Yeates
(2021)Zhiqing Wang;Aarti Doshi;Ratul Chowdhury;Yixi Wang
(2020)Christine Faust;Christian Ochs;Marcus Korn;Ulrich Werner
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