Sing Sing Way

117 papers and 6.8k indexed citations i.

About

Sing Sing Way is a scholar working on Immunology, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Sing Sing Way has authored 117 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Immunology, 24 papers in Epidemiology and 19 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Sing Sing Way’s work include Immune Cell Function and Interaction (39 papers), T-cell and B-cell Immunology (34 papers) and Immunotherapy and Immune Responses (27 papers). Sing Sing Way is often cited by papers focused on Immune Cell Function and Interaction (39 papers), T-cell and B-cell Immunology (34 papers) and Immunotherapy and Immune Responses (27 papers). Sing Sing Way collaborates with scholars based in United States, Australia and Germany. Sing Sing Way's co-authors include James M. Ertelt, Jared H. Rowe, Meredith M. Curtis, Lijun Xin, Jeremy M. Kinder, Tony T. Jiang, Adeline M. Hajjar, Abul K. Abbas, Michael D. Rosenblum and Christopher B. Wilson and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Co-authorship network of co-authors of Sing Sing Way i

Fields of papers citing papers by Sing Sing Way

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sing Sing Way

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025