Shipan Dai

14 papers and 578 indexed citations i.

About

Shipan Dai is a scholar working on Molecular Biology, Genetics and Endocrinology. According to data from OpenAlex, Shipan Dai has authored 14 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Endocrinology. Recurrent topics in Shipan Dai’s work include Salmonella and Campylobacter epidemiology (3 papers), Connexins and lens biology (3 papers) and Immune Response and Inflammation (3 papers). Shipan Dai is often cited by papers focused on Salmonella and Campylobacter epidemiology (3 papers), Connexins and lens biology (3 papers) and Immune Response and Inflammation (3 papers). Shipan Dai collaborates with scholars based in United States. Shipan Dai's co-authors include Daoguo Zhou, Larry S. Schlesinger, Wendy Higashide, David J. Hackam, Maria Branca, Ward M. Richardson, Chhinder P. Sodhi, Heather M. Curry, Murugesan V. S. Rajaram and Steven C. Gribar and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Gastroenterology.

In The Last Decade

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

Fields of papers citing papers by Shipan Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shipan Dai

Since Specialization
Citations

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