Genetic enhancement of learning and memory in mice
Impact in
Classified as
- Journal
- Nature
In The Last Decade
doi.org/10.1038/43432 →Countries where authors are citing Genetic enhancement of learning and memory in mice
This map shows the geographic impact of Genetic enhancement of learning and memory in mice. 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 Genetic enhancement of learning and memory in mice with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Genetic enhancement of learning and memory in mice more than expected).
Fields of papers citing Genetic enhancement of learning and memory in mice
This network shows the impact of Genetic enhancement of learning and memory in mice. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Genetic enhancement of learning and memory in mice.
About Genetic enhancement of learning and memory in mice
This paper, published in 1999, received 1.6k indexed citations . Written by Ya‐Ping Tang, Eiji Shimizu, Gilles Dubé, Claire Rampon, Geoffrey A. Kerchner, Min Zhuo, Guosong Liu and Joe Z. Tsien covering the research area of Cognitive Neuroscience, Social Psychology and Cellular and Molecular Neuroscience. It is primarily cited by scholars working on Cellular and Molecular Neuroscience (1.0k citations), Cognitive Neuroscience (650 citations), Molecular Biology (467 citations), Neurology (184 citations) and Developmental Neuroscience (180 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/10.1038/43432.