AMD3100, a small molecule inhibitor of HIV-1 entry via the CXCR4 co-receptor
- Journal
- Nature Medicine
In The Last Decade
doi.org/10.1038/nm0198-072 →Countries where authors are citing AMD3100, a small molecule inhibitor of HIV-1 entry via the CXCR4 co-receptor
This map shows the geographic impact of AMD3100, a small molecule inhibitor of HIV-1 entry via the CXCR4 co-receptor. 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 AMD3100, a small molecule inhibitor of HIV-1 entry via the CXCR4 co-receptor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites AMD3100, a small molecule inhibitor of HIV-1 entry via the CXCR4 co-receptor more than expected).
Fields of papers citing AMD3100, a small molecule inhibitor of HIV-1 entry via the CXCR4 co-receptor
This network shows the impact of AMD3100, a small molecule inhibitor of HIV-1 entry via the CXCR4 co-receptor. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the AMD3100, a small molecule inhibitor of HIV-1 entry via the CXCR4 co-receptor.
About AMD3100, a small molecule inhibitor of HIV-1 entry via the CXCR4 co-receptor
This paper, published in 1998, received 634 indexed citations . Written by Dominique Schols, Steven Lin, José A. Esté, Kirsten Nagashima, Paul J. Maddon, Graham P. Allaway, Thomas P. Sakmar, Geoffrey Henson, Erik De Clercq and John P. Moore covering the research area of Virology and Immunology. It is primarily cited by scholars working on Immunology (381 citations), Virology (346 citations) and Oncology (234 citations). Published in Nature Medicine.
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/10.1038/nm0198-072.