Dan Zekzer

11 papers and 813 indexed citations i.

About

Dan Zekzer is a scholar working on Immunology, Genetics and Surgery. According to data from OpenAlex, Dan Zekzer has authored 11 papers receiving a total of 813 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 7 papers in Genetics and 3 papers in Surgery. Recurrent topics in Dan Zekzer’s work include T-cell and B-cell Immunology (7 papers), Diabetes and associated disorders (7 papers) and Immune Cell Function and Interaction (7 papers). Dan Zekzer is often cited by papers focused on T-cell and B-cell Immunology (7 papers), Diabetes and associated disorders (7 papers) and Immune Cell Function and Interaction (7 papers). Dan Zekzer collaborates with scholars based in United States, Canada and Japan. Dan Zekzer's co-authors include Daniel L. Kaufman, Jide Tian, Angelica Olcott, Yuxin Lu, F. Susan Wong, Martha Altieri, R. S. Sherwin, Isabelle Millet, S Shintani and Oran Ayalon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Immunology.

In The Last Decade

Co-authorship network of co-authors of Dan Zekzer i

Fields of papers citing papers by Dan Zekzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dan Zekzer

Since Specialization
Citations

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