Tiffany E. Bias

25 papers and 371 indexed citations i.

About

Tiffany E. Bias is a scholar working on Epidemiology, Molecular Medicine and Infectious Diseases. According to data from OpenAlex, Tiffany E. Bias has authored 25 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 10 papers in Molecular Medicine and 10 papers in Infectious Diseases. Recurrent topics in Tiffany E. Bias’s work include Antibiotic Resistance in Bacteria (10 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers) and Antibiotic Use and Resistance (5 papers). Tiffany E. Bias is often cited by papers focused on Antibiotic Resistance in Bacteria (10 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers) and Antibiotic Use and Resistance (5 papers). Tiffany E. Bias collaborates with scholars based in United States and Australia. Tiffany E. Bias's co-authors include Alden Doyle, Elizabeth B. Hirsch, Stacey Trooskin, Clinton B. Mathias, Jeffrey Fong, Christopher L. Emery, Dorothy McCoy, Jason C Gallagher, Madeline King and Jon Hiles and has published in prestigious journals such as Journal of Clinical Microbiology, Antimicrobial Agents and Chemotherapy and Annals of Pharmacotherapy.

In The Last Decade

Co-authorship network of co-authors of Tiffany E. Bias i

Fields of papers citing papers by Tiffany E. Bias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tiffany E. Bias

Since Specialization
Citations

This map shows the geographic impact of Tiffany E. 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 Tiffany E. Bias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiffany E. 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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2025