Haiqing Dai

24 papers and 686 indexed citations i.

About

Haiqing Dai is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Haiqing Dai has authored 24 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 5 papers in Pulmonary and Respiratory Medicine and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Haiqing Dai’s work include Diabetes Treatment and Management (5 papers), Polyomavirus and related diseases (5 papers) and Peptidase Inhibition and Analysis (3 papers). Haiqing Dai is often cited by papers focused on Diabetes Treatment and Management (5 papers), Polyomavirus and related diseases (5 papers) and Peptidase Inhibition and Analysis (3 papers). Haiqing Dai collaborates with scholars based in United States, Germany and Japan. Haiqing Dai's co-authors include William F. Elmquist, Naveed Shaik, Haiying Sun, Yulia Vugmeyster, Ana Ruiz‐García, Michael K. Smith, Steve Riley, Carol Cronenberger, P Chan and Jing Dong and has published in prestigious journals such as Advanced Drug Delivery Reviews, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Haiqing Dai i

Fields of papers citing papers by Haiqing Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Haiqing Dai

Since Specialization
Citations

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