CHARMM Additive All-Atom Force Field for Glycosidic Linkages between Hexopyranoses
Countries where authors are citing CHARMM Additive All-Atom Force Field for Glycosidic Linkages between Hexopyranoses
This map shows the geographic impact of CHARMM Additive All-Atom Force Field for Glycosidic Linkages between Hexopyranoses. 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 CHARMM Additive All-Atom Force Field for Glycosidic Linkages between Hexopyranoses with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites CHARMM Additive All-Atom Force Field for Glycosidic Linkages between Hexopyranoses more than expected).
Fields of papers citing CHARMM Additive All-Atom Force Field for Glycosidic Linkages between Hexopyranoses
This network shows the impact of CHARMM Additive All-Atom Force Field for Glycosidic Linkages between Hexopyranoses. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the CHARMM Additive All-Atom Force Field for Glycosidic Linkages between Hexopyranoses.
About CHARMM Additive All-Atom Force Field for Glycosidic Linkages between Hexopyranoses
This paper, published in 2009, received 558 indexed citations . Written by Olgun Guvench, Elizabeth Hatcher, Richard M. Venable, Richard W. Pastor and Alexander D. MacKerell covering the research area of Molecular Biology and Materials Chemistry. It is primarily cited by scholars working on Molecular Biology (312 citations), Biomedical Engineering (147 citations) and Biomaterials (114 citations). Published in Journal of Chemical Theory and Computation.
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/ct900242e.