NACP, A Protein Implicated in Alzheimer's Disease and Learning, Is Natively Unfolded
- Journal
- Biochemistry
In The Last Decade
doi.org/10.1021/bi961799n →Countries where authors are citing NACP, A Protein Implicated in Alzheimer's Disease and Learning, Is Natively Unfolded
This map shows the geographic impact of NACP, A Protein Implicated in Alzheimer's Disease and Learning, Is Natively Unfolded. 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 NACP, A Protein Implicated in Alzheimer's Disease and Learning, Is Natively Unfolded with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites NACP, A Protein Implicated in Alzheimer's Disease and Learning, Is Natively Unfolded more than expected).
Fields of papers citing NACP, A Protein Implicated in Alzheimer's Disease and Learning, Is Natively Unfolded
This network shows the impact of NACP, A Protein Implicated in Alzheimer's Disease and Learning, Is Natively Unfolded. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the NACP, A Protein Implicated in Alzheimer's Disease and Learning, Is Natively Unfolded.
About NACP, A Protein Implicated in Alzheimer's Disease and Learning, Is Natively Unfolded
This paper, published in 1996, received 1.2k indexed citations . Written by Paul H. Weinreb, Kelly A. Conway and Peter T. Lansbury covering the research area of Molecular Biology, Physiology and Materials Chemistry. It is primarily cited by scholars working on Neurology (878 citations), Physiology (556 citations), Molecular Biology (413 citations), Cellular and Molecular Neuroscience (304 citations) and Cell Biology (154 citations). Published in Biochemistry.
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/10.1021/bi961799n.