Xingbin Ai

68 papers and 3.1k indexed citations i.

About

Xingbin Ai is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Xingbin Ai has authored 68 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Pulmonary and Respiratory Medicine, 27 papers in Molecular Biology and 16 papers in Surgery. Recurrent topics in Xingbin Ai’s work include Neonatal Respiratory Health Research (26 papers), Congenital Diaphragmatic Hernia Studies (13 papers) and Asthma and respiratory diseases (11 papers). Xingbin Ai is often cited by papers focused on Neonatal Respiratory Health Research (26 papers), Congenital Diaphragmatic Hernia Studies (13 papers) and Asthma and respiratory diseases (11 papers). Xingbin Ai collaborates with scholars based in United States, Germany and Canada. Xingbin Ai's co-authors include Charles P. Emerson, Marion Kusche‐Gullberg, Ke Lu, Anh-Tri Do, Ulf Lindahl, Natalia A. Riobo‐Del Galdo, Weitao Sun, Gurtej K. Dhoot, David M. Standiford and Olga Lozynska and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Co-authorship network of co-authors of Xingbin Ai i

Fields of papers citing papers by Xingbin Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xingbin Ai

Since Specialization
Citations

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