Factors That Predict Individual Vulnerability to Amphetamine Self-Administration
Impact in
Classified as
- Authors
- Pier Vincenzo Piazza
- Journal
- Science
In The Last Decade
doi.org/10.1126/science.2781295 →Countries where authors are citing Factors That Predict Individual Vulnerability to Amphetamine Self-Administration
This map shows the geographic impact of Factors That Predict Individual Vulnerability to Amphetamine Self-Administration. 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 Factors That Predict Individual Vulnerability to Amphetamine Self-Administration with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Factors That Predict Individual Vulnerability to Amphetamine Self-Administration more than expected).
Fields of papers citing Factors That Predict Individual Vulnerability to Amphetamine Self-Administration
This network shows the impact of Factors That Predict Individual Vulnerability to Amphetamine Self-Administration. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Factors That Predict Individual Vulnerability to Amphetamine Self-Administration.
About Factors That Predict Individual Vulnerability to Amphetamine Self-Administration
This paper, published in 1989, received 1.2k indexed citations . Written by Pier Vincenzo Piazza covering the research area of Social Psychology, Molecular Biology and Cellular and Molecular Neuroscience. It is primarily cited by scholars working on Cellular and Molecular Neuroscience (917 citations), Behavioral Neuroscience (334 citations), Molecular Biology (284 citations), Social Psychology (270 citations) and Cognitive Neuroscience (240 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.2781295.