Alpha-2 macroglobulin is genetically associated with Alzheimer disease
- Journal
- Nature Genetics
In The Last Decade
doi.org/10.1038/1243 →Countries where authors are citing Alpha-2 macroglobulin is genetically associated with Alzheimer disease
This map shows the geographic impact of Alpha-2 macroglobulin is genetically associated with Alzheimer disease. 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 Alpha-2 macroglobulin is genetically associated with Alzheimer disease with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alpha-2 macroglobulin is genetically associated with Alzheimer disease more than expected).
Fields of papers citing Alpha-2 macroglobulin is genetically associated with Alzheimer disease
This network shows the impact of Alpha-2 macroglobulin is genetically associated with Alzheimer disease. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Alpha-2 macroglobulin is genetically associated with Alzheimer disease.
About Alpha-2 macroglobulin is genetically associated with Alzheimer disease
This paper, published in 1998, received 518 indexed citations . Written by Deborah Blacker, Marsha Wilcox, Nan M. Laird, Steven M. Horvath, Rodney C.P. Go, Rodney T. Perry, Bracie Watson, Susan Spear Bassett, Melvin G. McInnis and Marilyn S. Albert covering the research area of Physiology, Cellular and Molecular Neuroscience and Pharmacology. It is primarily cited by scholars working on Physiology (382 citations), Molecular Biology (199 citations) and Cellular and Molecular Neuroscience (75 citations). Published in Nature Genetics.
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/10.1038/1243.