1093-3263
Published by: Elsevier
https://www.journals.elsevier.com/journal-of-molecular-graphics-and-modelling
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Chemistry | 462 | 83 | 128 | 17 |
| Biology and Biochemistry | 657 | 17 | 18 | 8 |
The journal facilitates discussions on Stereochemistry, Molecular dynamics, Docking (molecular), Computational chemistry and Molecule. The journal explores issues in Stereochemistry which can be linked to other research areas like Protein structure, Binding site and Active site. Binding site study tackled is connected to the field of Plasma protein binding.
It facilitates discussions on Molecular dynamics that incorporate concepts from other fields like Crystallography, Biophysics, Chemical physics and Hydrogen bond. In addition to Docking (molecular) research, it aims to explore topics under Pharmacophore, Homology modeling and Computational biology. Computational chemistry works presented in the journal have a specific focus on Density functional theory.
The concepts on Density functional theory presented in the journal can also apply to other research fields, including Photochemistry and Physical chemistry. It connects research in Molecule with the related topic of Adsorption. Enzyme is a focus of the Biochemistry works in it.
The published articles investigate areas of study like Stereochemistry, Docking (molecular), Quantitative structure–activity relationship, Molecular dynamics and Computational chemistry. The most cited publications hold forums on Docking (molecular) that merge themes from other disciplines such as Pharmacophore, Binding site and Active site. Issues in Computational chemistry were discussed in the most cited articles, taking into consideration concepts from other disciplines like Fullerene and Molecule, van der Waals force.
The journal covers a variety of subjects, including Molecule, Molecular dynamics, Computational biology, Protease and Amyotrophic lateral sclerosis. The research on Molecule tackled can also make contributions to studies in the areas of Crystallography, Bond cleavage, Ring (chemistry) and Nucleophile. Topics in Molecular dynamics explored in it were investigated in conjunction with research in Ethanol, Methanol, Adsorption, Analytical chemistry and Selectivity.
The Computational biology works featured in the journal incorporate elements from Context (language use), In silico, Allosteric regulation and Small molecule. Topics in Protease were tackled in line with various other fields like Docking (molecular), Ligand (biochemistry), Protonation, Nitrile and Cysteine. The concepts on Amyotrophic lateral sclerosis presented in Journal of Molecular Graphics & Modelling can also apply to other research fields, including Principal component analysis, Turn (biochemistry), Mutant and Stability (probability).
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 Molecular Graphics & Modelling (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 Molecular Graphics & Modelling (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 2022 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 50.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.67% of all publications and 33.33% 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.
The study of Molecular Graphics & Modelling and its wide-ranging applications doesn't limit your career options to becoming an academic researcher. Many professionals who started with an interest in these topics have found their way into related fields, such as medical coding. Medical coding is one profession that values a strong understanding of how complicated systems function, making it suitable for individuals with a background in Molecular Graphics & Modelling.
If you are contemplating a career shift or looking to apply your research expertise in a practical, high-demand field, you might want to consider exploring how to become a medical coder. For example, if you are based in California or planning to relocate, knowing how to navigate the specific requirements of that state would prove useful. Find out more about the prerequisites, training, certification, and job outlook for this role in our guide on how to become a medical coder in California.
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