Update of the CHARMM All-Atom Additive Force Field for Lipids: Validation on Six Lipid Types
Countries where authors are citing Update of the CHARMM All-Atom Additive Force Field for Lipids: Validation on Six Lipid Types
This map shows the geographic impact of Update of the CHARMM All-Atom Additive Force Field for Lipids: Validation on Six Lipid Types. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Update of the CHARMM All-Atom Additive Force Field for Lipids: Validation on Six Lipid Types with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Update of the CHARMM All-Atom Additive Force Field for Lipids: Validation on Six Lipid Types more than expected).
Fields of papers citing Update of the CHARMM All-Atom Additive Force Field for Lipids: Validation on Six Lipid Types
This network shows the impact of Update of the CHARMM All-Atom Additive Force Field for Lipids: Validation on Six Lipid Types. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Update of the CHARMM All-Atom Additive Force Field for Lipids: Validation on Six Lipid Types.
About Update of the CHARMM All-Atom Additive Force Field for Lipids: Validation on Six Lipid Types
This paper, published in 2010, received 3.5k indexed citations . Written by Jeffery B. Klauda, Richard M. Venable, J. Alfredo Freites, Douglas J. Tobias, Igor Vorobyov, Alexander D. MacKerell and Richard W. Pastor covering the research area of Molecular Biology and Atomic and Molecular Physics, and Optics. It is primarily cited by scholars working on Molecular Biology (2.9k citations), Atomic and Molecular Physics, and Optics (617 citations) and Cellular and Molecular Neuroscience (464 citations). Published in The Journal of Physical Chemistry B.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.
This paper is also available at doi.org/10.1021/jp101759q.