Proteins: Structure, Function and Genetics

Top Research Topics at Proteins?

Proteins investigates areas of study like Crystallography, Protein structure, Biochemistry, Stereochemistry and Molecular dynamics. It holds forums on Crystallography that merges themes from other disciplines such as Biophysics, Hydrogen bond, Protein secondary structure and Protein folding. Proteins links adjacent topics like Protein folding with Folding (chemistry).

The presented research on Protein structure deals specifically with Computational biology but it also addresses topics in Genetics. It primarily discusses Biochemistry topics, particularly Enzyme, Binding site, Amino acid, Mutant and Hydrolase. The work on Binding site addressed in it expands to the thematically related Plasma protein binding.

Proteins focuses on Stereochemistry but the discussions also offer insight into other areas such as Side chain, Molecule, Substrate (chemistry) and Active site. Proteins is concerned with the study of Molecular dynamics and Computational chemistry in general. Some problems in Protein structure prediction that were presented in the journal overlapped with concepts under Algorithm, Data mining and Artificial intelligence.

• Crystallography (29.12%)
• Protein structure (25.78%)
• Biochemistry (21.50%)

What are the most cited papers published in the journal?

• Comparison of multiple Amber force fields and development of improved protein backbone parameters. (5115 citations)
• Protein folding and association: insights from the interfacial and thermodynamic properties of hydrocarbons. (5097 citations)
• Structure validation by Calpha geometry: phi,psi and Cbeta deviation. (3631 citations)

Research areas of the most cited articles at Proteins:

The journal papers focus on Protein structure, Crystallography, Stereochemistry, Protein structure prediction and Protein folding. The Protein structure studies which were featured in the published papers aim to expound on the research in Biochemistry. The Crystallography research tackled in the published articles is interrelated with Molecular dynamics which concerns subjects like Thermodynamics and Statistical physics.

What topics the last edition of the journal is best known for?

• Enzyme
• Gene
• DNA

The previous edition focused in particular on these issues:

The discussions in Proteins mainly cover the fields of Biophysics, Computational biology, Molecular dynamics, Artificial intelligence and Protein structure prediction. The close relationship between Amino acid and Stereochemistry is one of the points of interest dissected in Computational biology research. The studies in Molecular dynamics featured incorporate elements of Biological system and Hydrogen bond.

While the journal focused on Artificial intelligence, it was also able to explore topics like Machine learning and Pattern recognition. The Protein structure prediction study featured falls within the wider field of Protein structure. In addition to Protein structure research, it aims to explore topics under Docking (molecular) and Binding site.

The most cited articles from the last journal are:

• Human SARS CoV-2 spike protein mutations. (41 citations)
• High-accuracy protein structure prediction in CASP14. (18 citations)
• Perturbing the energy landscape for improved packing during computational protein design. (9 citations)

Papers citation over time

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.

Top authors and change over time

The top authors publishing in Proteins (based on the number of publications) are:

• Andriy Kryshtafovych (73 papers) published 13 papers at the last edition,
• Ian A. Wilson (71 papers) absent at the last edition,
• Adam Godzik (69 papers) published 1 paper at the last edition,
• Scott A. Lesley (66 papers) absent at the last edition,
• Mitchell D. Miller (66 papers) published 1 paper at the last edition.

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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Proteins (based on the number of publications) are:

• Centre national de la recherche scientifique (185 papers) published 3 papers at the last edition, 2 more than at the previous edition,
• Scripps Research Institute (161 papers) absent at the last edition,
• National Institutes of Health (141 papers) published 3 papers at the last edition, 1 more than at the previous edition,
• Johns Hopkins University (135 papers) published 1 paper at the last edition, 1 less than at the previous edition,
• University of California, San Diego (124 papers) published 1 paper at the last edition.

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.

Publication chance based on affiliation

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, 2.55% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 8.30% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.04% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.35% of all publications and 70.31% were from other institutions.

Returning Authors Index

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.

Returning Institution Index

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.

The experience to innovation index

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:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.