Daniel J. Sikkema

15 papers and 506 indexed citations i.

About

Daniel J. Sikkema is a scholar working on Epidemiology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Daniel J. Sikkema has authored 15 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 6 papers in Immunology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Daniel J. Sikkema’s work include Pneumonia and Respiratory Infections (7 papers), Bacterial Infections and Vaccines (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Daniel J. Sikkema is often cited by papers focused on Pneumonia and Respiratory Infections (7 papers), Bacterial Infections and Vaccines (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Daniel J. Sikkema collaborates with scholars based in United States, India and Finland. Daniel J. Sikkema's co-authors include Dace V. Madore, Sally A. Quataert, Robert R. Brubaker, George M. Carlone, Helena Käyhty, Moon H. Nahm, Brian D. Plikaytis, David Goldblatt, William H. Benjamin and Catherine M. Wernette and has published in prestigious journals such as The FASEB Journal, Molecular Microbiology and Gene.

In The Last Decade

Co-authorship network of co-authors of Daniel J. Sikkema i

Fields of papers citing papers by Daniel J. Sikkema

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel J. Sikkema

Since Specialization
Citations

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