Hua Qing

7 papers and 298 indexed citations i.

About

Hua Qing is a scholar working on Physiology, Surgery and Epidemiology. According to data from OpenAlex, Hua Qing has authored 7 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 1 paper in Surgery and 1 paper in Epidemiology. Recurrent topics in Hua Qing’s work include Adipose Tissue and Metabolism (3 papers), Forensic Toxicology and Drug Analysis (1 paper) and Stoma care and complications (1 paper). Hua Qing is often cited by papers focused on Adipose Tissue and Metabolism (3 papers), Forensic Toxicology and Drug Analysis (1 paper) and Stoma care and complications (1 paper). Hua Qing collaborates with scholars based in United States and China. Hua Qing's co-authors include Andrew Wang, Rachel J. Perry, Cuiling Zhang, Marina R. Picciotto, Yann S. Mineur, Kavita Israni-Winger, Noah W. Palm, Rajita Sinha, Nia Fogelman and Jinbo Hu and has published in prestigious journals such as Cell, Journal of Clinical Investigation and eLife.

In The Last Decade

Co-authorship network of co-authors of Hua Qing i

Fields of papers citing papers by Hua Qing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hua Qing

Since Specialization
Citations

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