Daniel Levitt

115 papers and 2.5k indexed citations i.

About

Daniel Levitt is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Daniel Levitt has authored 115 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Immunology, 39 papers in Oncology and 27 papers in Molecular Biology. Recurrent topics in Daniel Levitt’s work include Immune Cell Function and Interaction (18 papers), Monoclonal and Polyclonal Antibodies Research (16 papers) and T-cell and B-cell Immunology (15 papers). Daniel Levitt is often cited by papers focused on Immune Cell Function and Interaction (18 papers), Monoclonal and Polyclonal Antibodies Research (16 papers) and T-cell and B-cell Immunology (15 papers). Daniel Levitt collaborates with scholars based in United States, Cameroon and Australia. Daniel Levitt's co-authors include Albert Dorfman, Matthew A. Cooper, Pei-Lee Ho, Martha K. Dagg, Max D. Cooper, Jonathan Bard, Scott Wieland, Catherine Lindgren, John A. Thompson and Linda M. Hendershot and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Co-authorship network of co-authors of Daniel Levitt i

Fields of papers citing papers by Daniel Levitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Levitt

Since Specialization
Citations

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