Qi Da

25 papers and 407 indexed citations i.

About

Qi Da is a scholar working on Hematology, Immunology and Immunology and Allergy. According to data from OpenAlex, Qi Da has authored 25 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Hematology, 8 papers in Immunology and 6 papers in Immunology and Allergy. Recurrent topics in Qi Da’s work include Platelet Disorders and Treatments (11 papers), Cell Adhesion Molecules Research (6 papers) and Complement system in diseases (5 papers). Qi Da is often cited by papers focused on Platelet Disorders and Treatments (11 papers), Cell Adhesion Molecules Research (6 papers) and Complement system in diseases (5 papers). Qi Da collaborates with scholars based in United States, China and Mexico. Qi Da's co-authors include Miguel A. Crúz, Peng Wang, Fong Lam, Hongbin Wang, John S. Olson, Jun Teruya, Bobby Guillory, Prasenjit Guchhait, K. Vinod Vijayan and Xuejun Jiang and has published in prestigious journals such as Journal of Biological Chemistry, Blood and The Journal of Immunology.

In The Last Decade

Co-authorship network of co-authors of Qi Da i

Fields of papers citing papers by Qi Da

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Qi Da

Since Specialization
Citations

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