Journal of Molecular Modeling - Impact Factor

Journal of Molecular Modeling - Springer Verlag | 2024 Impact Factor:2.5 | Cite Score:3.8 | Q3

Impact Factor and Journal Rank of Molecular Modeling

About: Journal of Molecular Modeling is a peer-reviewed academic journal published by Springer. It focuses on research related to the modeling and simulation of molecular systems. The journal provides a platform for researchers, practitioners, and educators to publish original research articles, reviews, and case studies that advance the understanding and application of molecular modeling techniques across various scientific disciplines.
Objective: The primary objective of the Journal of Molecular Modeling is to promote research and innovation in the field of molecular modeling. The journal aims to explore novel methodologies, techniques, and tools for the simulation and analysis of molecular structures, dynamics, and interactions. By publishing high-quality research, the journal contributes to the advancement of molecular modeling practices and their impact on fields such as chemistry, biology, materials science, and drug discovery.
Interdisciplinary Focus: Journal of Molecular Modeling adopts an interdisciplinary approach, welcoming contributions from various fields related to molecular modeling, including but not limited to: Computational Chemistry Biochemistry Biophysics Pharmacology Materials Science Chemical Engineering Structural Biology Bioinformatics This interdisciplinary perspective fosters collaboration and innovation, leading to the development of advanced modeling techniques and solutions that address complex challenges in the study of molecular systems.
Global Reach and Impact: With a broad international readership and authorship, Journal of Molecular Modeling has a global reach and impact. Its publications contribute to the dissemination of knowledge and advancements in molecular modeling worldwide. The journal content influences both academic research and industrial applications, driving progress in areas such as drug design, material development, and understanding of biological processes.
High Standards and Rigorous Review: Maintaining high academic standards, Journal of Molecular Modeling conducts a rigorous peer-review process. Each submitted manuscript undergoes thorough evaluation by experts in the field to ensure the quality, originality, and scientific rigor of the research. This stringent review process upholds the integrity and reputation of the journal, ensuring that only high-quality and impactful research is published.
Significance: Journal of Molecular Modeling plays a significant role in advancing research and practice in molecular modeling. By providing a platform for the publication of cutting-edge research findings, the journal contributes to the growth of knowledge and innovation in modeling methodologies and applications. It serves as an essential resource for researchers, practitioners, and educators seeking to leverage molecular modeling techniques to enhance scientific research and technological development across various fields.

Journal Home: Journal Homepage

Editor-in-Chief: Timothy Clark

Scope: The journal covers a wide range of topics, including but not limited to:
Molecular Dynamics: Studies involving the simulation of molecular movements and interactions over time.
Quantum Chemistry: Research on the application of quantum mechanics to chemical systems and processes.
Computational Chemistry: Development and application of computational methods to solve chemical problems.
Structure-Based Drug Design: Methods and case studies involving the design of drugs based on molecular structures.
Biomolecular Modeling: Modeling of biological molecules such as proteins, nucleic acids, and complexes.
Cheminformatics: The use of computational tools to process chemical data and model chemical properties.
Molecular Graphics and Visualization: Techniques for visualizing molecular structures and simulations.
Materials Modeling: Computational studies of materials properties and behavior at the molecular level.
Reaction Mechanisms: Theoretical studies of chemical reaction pathways and mechanisms.
Software and Algorithm Development: Innovations in computational tools and algorithms for molecular modeling.