Megan Partyka

14 papers and 578 indexed citations i.

About

Megan Partyka is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Nutrition and Dietetics. According to data from OpenAlex, Megan Partyka has authored 14 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Nutrition and Dietetics. Recurrent topics in Megan Partyka’s work include Atherosclerosis and Cardiovascular Diseases (3 papers), Sodium Intake and Health (2 papers) and Neuroscience of respiration and sleep (2 papers). Megan Partyka is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (3 papers), Sodium Intake and Health (2 papers) and Neuroscience of respiration and sleep (2 papers). Megan Partyka collaborates with scholars based in United States, France and Poland. Megan Partyka's co-authors include Khalid Matrougui, Modar Kassan, María Galán, Mohamed Trebak, Soo Kyoung Choi, Souad Belmadani, Philip J. Kadowitz, Devika Nair, Ali H. Amin and Daniel Henrion and has published in prestigious journals such as Hypertension, Arteriosclerosis Thrombosis and Vascular Biology and American Journal Of Pathology.

In The Last Decade

Co-authorship network of co-authors of Megan Partyka i

Fields of papers citing papers by Megan Partyka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Megan Partyka

Since Specialization
Citations

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

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025