Dickkopf-1 is a member of a new family of secreted proteins and functions in head induction
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- Nature
In The Last Decade
doi.org/10.1038/34848 →Countries where authors are citing Dickkopf-1 is a member of a new family of secreted proteins and functions in head induction
This map shows the geographic impact of Dickkopf-1 is a member of a new family of secreted proteins and functions in head induction. 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 Dickkopf-1 is a member of a new family of secreted proteins and functions in head induction with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dickkopf-1 is a member of a new family of secreted proteins and functions in head induction more than expected).
Fields of papers citing Dickkopf-1 is a member of a new family of secreted proteins and functions in head induction
This network shows the impact of Dickkopf-1 is a member of a new family of secreted proteins and functions in head induction. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Dickkopf-1 is a member of a new family of secreted proteins and functions in head induction.
About Dickkopf-1 is a member of a new family of secreted proteins and functions in head induction
This paper, published in 1998, received 1.3k indexed citations . Written by Andrei Glinka, Wei Wu, Hajo Delius, A. Paula Monaghan, Claudia Blumenstock and Christof Niehrs covering the research area of Molecular Biology. It is primarily cited by scholars working on Molecular Biology (1.2k citations), Genetics (206 citations) and Cell Biology (136 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/10.1038/34848.