Max: A Helix-Loop-Helix Zipper Protein That Forms a Sequence-Specific DNA-Binding Complex with Myc
Impact in
- Molecular Biology 1.2k
- Oncology 335
Classified as
- Journal
- Science
In The Last Decade
doi.org/10.1126/science.2006410 →Countries where authors are citing Max: A Helix-Loop-Helix Zipper Protein That Forms a Sequence-Specific DNA-Binding Complex with Myc
This map shows the geographic impact of Max: A Helix-Loop-Helix Zipper Protein That Forms a Sequence-Specific DNA-Binding Complex with Myc. 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 Max: A Helix-Loop-Helix Zipper Protein That Forms a Sequence-Specific DNA-Binding Complex with Myc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max: A Helix-Loop-Helix Zipper Protein That Forms a Sequence-Specific DNA-Binding Complex with Myc more than expected).
Fields of papers citing Max: A Helix-Loop-Helix Zipper Protein That Forms a Sequence-Specific DNA-Binding Complex with Myc
This network shows the impact of Max: A Helix-Loop-Helix Zipper Protein That Forms a Sequence-Specific DNA-Binding Complex with Myc. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Max: A Helix-Loop-Helix Zipper Protein That Forms a Sequence-Specific DNA-Binding Complex with Myc.
About Max: A Helix-Loop-Helix Zipper Protein That Forms a Sequence-Specific DNA-Binding Complex with Myc
This paper, published in 1991, received 1.5k indexed citations . Written by Elizabeth M. Blackwood and Robert N. Eisenman covering the research area of Molecular Biology. It is primarily cited by scholars working on Molecular Biology (1.2k citations), Oncology (335 citations), Genetics (178 citations), Cancer Research (167 citations) and Immunology (143 citations). Published in Science.
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/10.1126/science.2006410.