Thomas Q. de Aguiar Vallim

About

Thomas Q. de Aguiar Vallim is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Thomas Q. de Aguiar Vallim has authored 41 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 19 papers in Surgery and 9 papers in Oncology. Recurrent topics in Thomas Q. de Aguiar Vallim’s work include Cholesterol and Lipid Metabolism (12 papers), Drug Transport and Resistance Mechanisms (9 papers) and Lipid metabolism and biosynthesis (7 papers). Thomas Q. de Aguiar Vallim is often cited by papers focused on Cholesterol and Lipid Metabolism (12 papers), Drug Transport and Resistance Mechanisms (9 papers) and Lipid metabolism and biosynthesis (7 papers). Thomas Q. de Aguiar Vallim collaborates with scholars based in United States, United Kingdom and Canada. Thomas Q. de Aguiar Vallim's co-authors include Peter A. Edwards, Elizabeth J. Tarling, Richard Lee, Aldons J. Lusis, Mark J. Graham, Brian J. Bennett, Stanley L. Hazen, Diana M. Shih, Zeneng Wang and Hooman Allayee and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Co-authorship network of co-authors of Thomas Q. de Aguiar Vallim i

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Fields of papers citing papers by Thomas Q. de Aguiar Vallim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Q. de Aguiar Vallim. 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 Thomas Q. de Aguiar Vallim. The network helps show where Thomas Q. de Aguiar Vallim may publish in the future.

Countries citing papers authored by Thomas Q. de Aguiar Vallim

Since Specialization

Citations

This map shows the geographic impact of Thomas Q. de Aguiar Vallim'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 Thomas Q. de Aguiar Vallim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Q. de Aguiar Vallim 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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