Su Q

About

Su Q is a scholar working on Molecular Biology, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Su Q has authored 34 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Epidemiology and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Su Q’s work include Antiplatelet Therapy and Cardiovascular Diseases (3 papers), Acute Ischemic Stroke Management (3 papers) and Gut microbiota and health (2 papers). Su Q is often cited by papers focused on Antiplatelet Therapy and Cardiovascular Diseases (3 papers), Acute Ischemic Stroke Management (3 papers) and Gut microbiota and health (2 papers). Su Q collaborates with scholars based in China, United States and Saudi Arabia. Su Q's co-authors include James M. Wilson, Michael A. Goldman, Bing Xie, Ruilin Wu, Dawei Hu, Liping Duan, Leyuan Li, Hongmei Liu, Desheng Wang and Yuejin Yang and has published in prestigious journals such as Brain Research, Oncotarget and Proceedings of The Nutrition Society.

In The Last Decade

Co-authorship network of co-authors of Su Q i

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Fields of papers citing papers by Su Q

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Su Q

Since Specialization

Citations

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