Marysia S. Tweet

73 papers and 3.8k indexed citations i.

About

Marysia S. Tweet is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Marysia S. Tweet has authored 73 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Cardiology and Cardiovascular Medicine, 38 papers in Surgery and 26 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Marysia S. Tweet’s work include Cardiovascular Issues in Pregnancy (66 papers), Cardiac Structural Anomalies and Repair (37 papers) and Cardiac Health and Mental Health (19 papers). Marysia S. Tweet is often cited by papers focused on Cardiovascular Issues in Pregnancy (66 papers), Cardiac Structural Anomalies and Repair (37 papers) and Cardiac Health and Mental Health (19 papers). Marysia S. Tweet collaborates with scholars based in United States, United Kingdom and India. Marysia S. Tweet's co-authors include Sharonne N. Hayes, Rajiv Gulati, Patricia J.M. Best, Amir Lerman, Charanjit S. Rihal, Mackram F. Eleid, David Adlam, Carl H. Rose, Esther Kim and Bernard J. Gersh and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Marysia S. Tweet i

Fields of papers citing papers by Marysia S. Tweet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marysia S. Tweet. 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 Marysia S. Tweet. The network helps show where Marysia S. Tweet may publish in the future.

Countries citing papers authored by Marysia S. Tweet

Since Specialization
Citations

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

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2025