Akilah Patterson

905 total citations · 1 hit paper
9 papers, 491 citations indexed

About

Akilah Patterson is a scholar working on Pharmacology, Clinical Psychology and Sociology and Political Science. According to data from OpenAlex, Akilah Patterson has authored 9 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pharmacology, 3 papers in Clinical Psychology and 3 papers in Sociology and Political Science. Recurrent topics in Akilah Patterson's work include Racial and Ethnic Identity Research (3 papers), Cannabis and Cannabinoid Research (3 papers) and Smoking Behavior and Cessation (3 papers). Akilah Patterson is often cited by papers focused on Racial and Ethnic Identity Research (3 papers), Cannabis and Cannabinoid Research (3 papers) and Smoking Behavior and Cessation (3 papers). Akilah Patterson collaborates with scholars based in United States. Akilah Patterson's co-authors include Sara Abelson, Meghna Singh, Daniel Eisenberg, Sasha Zhou, Justin E. Heinze, Sarah Ketchen Lipson, Carla J. Berg, Betelihem Getachew, Christina Meyers and Lisa Henriksen and has published in prestigious journals such as Journal of Affective Disorders, Development and Psychopathology and Journal of Clinical Child & Adolescent Psychology.

In The Last Decade

Akilah Patterson

8 papers receiving 480 citations

Hit Papers

Trends in college student mental health and help-seeking ... 2022 2026 2023 2024 2022 100 200 300

Peers

Akilah Patterson
Comparison fields: 5 of 78
  • Clinical Psychology 263
  • Social Psychology 167
  • General Health Professions 114
  • Applied Psychology 75
  • Sociology and Political Science 66
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Citations per field, relative to Akilah Patterson
Akilah Patterson · 1×
Citations per year, relative to Akilah Patterson
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Countries citing papers authored by Akilah Patterson

Since Specialization
Citations

This map shows the geographic impact of Akilah Patterson's research. 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 Akilah Patterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akilah Patterson more than expected).

Fields of papers citing papers by Akilah Patterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Akilah Patterson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Akilah Patterson. The network helps show where Akilah Patterson may publish in the future.

Co-authorship network of co-authors of Akilah Patterson

This figure shows the co-authorship network connecting the top 25 collaborators of Akilah Patterson. A scholar is included among the top collaborators of Akilah Patterson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Akilah Patterson. Akilah Patterson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
# Work Indexed citations
1 0
2 5
3 11
4
Trends in college student mental health and help-seeking by race/ethnicity: Findings from the national healthy minds study, 2013–2021 breakdown →
358
5 17
6 21
7 29
8 12
9 38

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.

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