Dailing Mao

16 papers and 1.9k indexed citations i.

About

Dailing Mao is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Dailing Mao has authored 16 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 6 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Dailing Mao’s work include Complement system in diseases (5 papers), Reproductive System and Pregnancy (4 papers) and NF-κB Signaling Pathways (2 papers). Dailing Mao is often cited by papers focused on Complement system in diseases (5 papers), Reproductive System and Pregnancy (4 papers) and NF-κB Signaling Pathways (2 papers). Dailing Mao collaborates with scholars based in United States. Dailing Mao's co-authors include Hector Molina, V. Michael Holers, Chenguang Xu, Alec M. Cheng, Ben Julian A. Palanca, Andrew L. Mellor, Phillip Chandler, David H. Munn, Kimberly Y. Smith and Roberta Faccio and has published in prestigious journals such as Science, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Co-authorship network of co-authors of Dailing Mao i

Fields of papers citing papers by Dailing Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dailing Mao

Since Specialization
Citations

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