Ya Huang

About

Ya Huang is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Genetics. According to data from OpenAlex, Ya Huang has authored 25 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Epidemiology and 6 papers in Genetics. Recurrent topics in Ya Huang’s work include Liver Disease Diagnosis and Treatment (6 papers), Antimicrobial Peptides and Activities (5 papers) and Genetic Associations and Epidemiology (4 papers). Ya Huang is often cited by papers focused on Liver Disease Diagnosis and Treatment (6 papers), Antimicrobial Peptides and Activities (5 papers) and Genetic Associations and Epidemiology (4 papers). Ya Huang collaborates with scholars based in China, United States and South Korea. Ya Huang's co-authors include Min Xu, Yufang Bi, Weiqing Wang, Guang Ning, Kui Peng, Jieli Lu, Yuhong Chen, Lin Ding, Po W. Wang and Yu Xu and has published in prestigious journals such as The Lancet, PLoS ONE and Diabetes.

In The Last Decade

Co-authorship network of co-authors of Ya Huang i

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Fields of papers citing papers by Ya Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ya Huang

Since Specialization

Citations

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