Megan Landry

920 total citations · 1 hit paper
24 papers, 573 citations indexed

About

Megan Landry is a scholar working on Clinical Psychology, General Health Professions and Infectious Diseases. According to data from OpenAlex, Megan Landry has authored 24 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Clinical Psychology, 7 papers in General Health Professions and 6 papers in Infectious Diseases. Recurrent topics in Megan Landry's work include COVID-19 and Mental Health (5 papers), Adolescent Sexual and Reproductive Health (5 papers) and Child Development and Digital Technology (4 papers). Megan Landry is often cited by papers focused on COVID-19 and Mental Health (5 papers), Adolescent Sexual and Reproductive Health (5 papers) and Child Development and Digital Technology (4 papers). Megan Landry collaborates with scholars based in United States and South Korea. Megan Landry's co-authors include Justine A. Kavle, Amita Vyas, Susan F. Wood, Monique Mitchell Turner, Angela M. Rojas, Lisa Rutledge, Hayley S. Thompson, Felicity W. K. Harper, Mark Manning and Jamie Mitchell and has published in prestigious journals such as SHILAP Revista de lepidopterología, FEBS Letters and Emerging infectious diseases.

In The Last Decade

Megan Landry

23 papers receiving 548 citations

Hit Papers

Factors Associated With Racial/Ethnic Group–Based Medical... 2021 2026 2022 2024 2021 50 100 150

Peers

Megan Landry
Comparison fields: 5 of 99
  • General Health Professions 192
  • Health 146
  • Nutrition and Dietetics 119
  • Sociology and Political Science 117
  • Pediatrics, Perinatology and Child Health 89
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Citations per field, relative to Megan Landry
Megan Landry · 1×
Citations per year, relative to Megan Landry
Megan Landry · 1×

Countries citing papers authored by Megan Landry

Since Specialization
Citations

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

Fields of papers citing papers by Megan Landry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Megan Landry. 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 Megan Landry. The network helps show where Megan Landry may publish in the future.

Co-authorship network of co-authors of Megan Landry

This figure shows the co-authorship network connecting the top 25 collaborators of Megan Landry. A scholar is included among the top collaborators of Megan Landry 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 Megan Landry. Megan Landry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 2
3 1
4 13
5 4
6 0
7 1
8 2
9
Factors Associated With Racial/Ethnic Group–Based Medical Mistrust and Perspectives on COVID-19 Vaccine Trial Participation and Vaccine Uptake in the US breakdown →
174
10 10
11 19
12 54
13 30
14 98
15 14
16 25
17 55
18 14
19 14
20 13

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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