Candidate Gene for the Chromosome 1 Familial Alzheimer's Disease Locus

2.0k indexed citations

Abstract

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About

This paper, published in 1995, received 2.0k indexed citations. Written by Ephrat Levy‐Lahad, Wilma Wasco, Parvoneh Poorkaj, Donna Romano, Junko Oshima, Warren H. Pettingell, Chang-En Yu, Stephen D. Schmidt, Kai Wang and Annette C. Crowley covering the research area of Biochemistry, Physiology and Molecular Biology. It is primarily cited by scholars working on Physiology (1.6k citations), Molecular Biology (942 citations) and Pharmacology (422 citations). Published in Science.

Countries where authors are citing Candidate Gene for the Chromosome 1 Familial Alzheimer's Disease Locus

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Citations

This map shows the geographic impact of Candidate Gene for the Chromosome 1 Familial Alzheimer's Disease Locus. 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 Candidate Gene for the Chromosome 1 Familial Alzheimer's Disease Locus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Candidate Gene for the Chromosome 1 Familial Alzheimer's Disease Locus more than expected).

Fields of papers citing Candidate Gene for the Chromosome 1 Familial Alzheimer's Disease Locus

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Candidate Gene for the Chromosome 1 Familial Alzheimer's Disease Locus. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Candidate Gene for the Chromosome 1 Familial Alzheimer's Disease Locus.

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.7638622.

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