Wilma Β. Bias

159 papers and 7.2k indexed citations i.

About

Wilma Β. Bias is a scholar working on Immunology, Rheumatology and Molecular Biology. According to data from OpenAlex, Wilma Β. Bias has authored 159 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Immunology, 38 papers in Rheumatology and 30 papers in Molecular Biology. Recurrent topics in Wilma Β. Bias’s work include T-cell and B-cell Immunology (32 papers), Systemic Lupus Erythematosus Research (26 papers) and Allergic Rhinitis and Sensitization (17 papers). Wilma Β. Bias is often cited by papers focused on T-cell and B-cell Immunology (32 papers), Systemic Lupus Erythematosus Research (26 papers) and Allergic Rhinitis and Sensitization (17 papers). Wilma Β. Bias collaborates with scholars based in United States, Canada and United Kingdom. Wilma Β. Bias's co-authors include Frank C. Arnett, David G. Marsh, Thomas T. Provost, Marc C. Hochberg, Deborah A. Meyers, Morris Reichlin, Susan H. Hsu, Elaine L. Alexander, John B. Harley and Mary Betty Stevens and has published in prestigious journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Co-authorship network of co-authors of Wilma Β. Bias i

Fields of papers citing papers by Wilma Β. Bias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wilma Β. Bias. 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 Wilma Β. Bias. The network helps show where Wilma Β. Bias may publish in the future.

Countries citing papers authored by Wilma Β. Bias

Since Specialization
Citations

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