Diane Uschner

29 papers and 425 indexed citations i.

About

Diane Uschner is a scholar working on Statistics and Probability, Endocrinology, Diabetes and Metabolism and Infectious Diseases. According to data from OpenAlex, Diane Uschner has authored 29 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics and Probability, 7 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Infectious Diseases. Recurrent topics in Diane Uschner’s work include Statistical Methods in Clinical Trials (11 papers), Diabetes Management and Research (6 papers) and Statistical Methods and Inference (5 papers). Diane Uschner is often cited by papers focused on Statistical Methods in Clinical Trials (11 papers), Diabetes Management and Research (6 papers) and Statistical Methods and Inference (5 papers). Diane Uschner collaborates with scholars based in United States, Germany and Austria. Diane Uschner's co-authors include R.-D Hilgers, N Heussen, William F. Rosenberger, Wenzel Schöning, Ulf P. Neumann, Marcel Binnebösel, Florian Ulmer, Andreas Kroh, Toine M. Lodewick and Oleksandr Sverdlov and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and Diabetes Care.

In The Last Decade

Co-authorship network of co-authors of Diane Uschner i

Fields of papers citing papers by Diane Uschner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Diane Uschner

Since Specialization
Citations

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