Qing-Qing Dai

17 papers and 322 indexed citations i.

About

Qing-Qing Dai is a scholar working on Molecular Biology, Oncology and Materials Chemistry. According to data from OpenAlex, Qing-Qing Dai has authored 17 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Materials Chemistry. Recurrent topics in Qing-Qing Dai’s work include Peptidase Inhibition and Analysis (4 papers), Chemical Synthesis and Analysis (3 papers) and Antibiotic Resistance in Bacteria (2 papers). Qing-Qing Dai is often cited by papers focused on Peptidase Inhibition and Analysis (4 papers), Chemical Synthesis and Analysis (3 papers) and Antibiotic Resistance in Bacteria (2 papers). Qing-Qing Dai collaborates with scholars based in China, United States and United Kingdom. Qing-Qing Dai's co-authors include Guo‐Bo Li, Junlin Yu, Jean‐Luc Brédas, Haoyuan Li, Huifang Li, Gen Li, Lingling Yang, Yu‐Hang Yan, Christopher J. Schofield and Bin Yu and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Journal of Medicinal Chemistry.

In The Last Decade

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

Fields of papers citing papers by Qing-Qing Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Qing-Qing Dai

Since Specialization
Citations

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