The Drug Repurposing Hub: a next-generation drug library and information resource
Impact in
Classified as
- Journal
- Nature Medicine
In The Last Decade
doi.org/10.1038/nm.4306 →Countries where authors are citing The Drug Repurposing Hub: a next-generation drug library and information resource
This map shows the geographic impact of The Drug Repurposing Hub: a next-generation drug library and information resource. 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 The Drug Repurposing Hub: a next-generation drug library and information resource with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The Drug Repurposing Hub: a next-generation drug library and information resource more than expected).
Fields of papers citing The Drug Repurposing Hub: a next-generation drug library and information resource
This network shows the impact of The Drug Repurposing Hub: a next-generation drug library and information resource. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The Drug Repurposing Hub: a next-generation drug library and information resource.
About The Drug Repurposing Hub: a next-generation drug library and information resource
This paper, published in 2017, received 735 indexed citations . Written by Steven M. Corsello, Joshua A. Bittker, Zihan Liu, Joshua Gould, Patrick R. McCarren, Jodi Hirschman, Stephen E. Johnston, Anita Vrcic, Bang Wong and Jacob K. Asiedu covering the research area of Computational Theory and Mathematics. It is primarily cited by scholars working on Computational Theory and Mathematics (258 citations), Molecular Biology (85 citations), Infectious Diseases (36 citations), Genetics (21 citations) and Cancer Research (16 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/nm.4306.