The tumour suppressor protein VHL targets hypoxia-inducible factors for oxygen-dependent proteolysis
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doi.org/10.1038/20459 →Countries where authors are citing The tumour suppressor protein VHL targets hypoxia-inducible factors for oxygen-dependent proteolysis
This map shows the geographic impact of The tumour suppressor protein VHL targets hypoxia-inducible factors for oxygen-dependent proteolysis. 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 tumour suppressor protein VHL targets hypoxia-inducible factors for oxygen-dependent proteolysis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The tumour suppressor protein VHL targets hypoxia-inducible factors for oxygen-dependent proteolysis more than expected).
Fields of papers citing The tumour suppressor protein VHL targets hypoxia-inducible factors for oxygen-dependent proteolysis
This network shows the impact of The tumour suppressor protein VHL targets hypoxia-inducible factors for oxygen-dependent proteolysis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The tumour suppressor protein VHL targets hypoxia-inducible factors for oxygen-dependent proteolysis.
About The tumour suppressor protein VHL targets hypoxia-inducible factors for oxygen-dependent proteolysis
This paper, published in 1999, received 4.2k indexed citations . Written by Patrick H. Maxwell, Michael S. Wiesener, Gin-Wen Chang, Steven C. Clifford, Matthew E. Cockman, Charles C. Wykoff, Christopher W. Pugh, Eamonn R. Maher and Peter J. Ratcliffe covering the research area of Cancer Research and Molecular Biology. It is primarily cited by scholars working on Cancer Research (3.0k citations), Molecular Biology (2.7k citations) and Pulmonary and Respiratory Medicine (616 citations). Published in Nature.
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/10.1038/20459.