Caroline Uhler

74 papers and 1.5k indexed citations i.

About

Caroline Uhler is a scholar working on Molecular Biology, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Caroline Uhler has authored 74 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 32 papers in Artificial Intelligence and 17 papers in Statistics and Probability. Recurrent topics in Caroline Uhler’s work include Bayesian Modeling and Causal Inference (19 papers), Genomics and Chromatin Dynamics (9 papers) and Single-cell and spatial transcriptomics (9 papers). Caroline Uhler is often cited by papers focused on Bayesian Modeling and Causal Inference (19 papers), Genomics and Chromatin Dynamics (9 papers) and Single-cell and spatial transcriptomics (9 papers). Caroline Uhler collaborates with scholars based in United States, Austria and Switzerland. Caroline Uhler's co-authors include G. V. Shivashankar, Stephen E. Fienberg, Aleksandra Slavković, Adityanarayanan Radhakrishnan, Piotr Zwiernik, Bernd Sturmfels, Anastasiya Belyaeva, Karren Yang, Garvesh Raskutti and Saradha Venkatachalapathy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Reviews Molecular Cell Biology.

In The Last Decade

Co-authorship network of co-authors of Caroline Uhler i

Fields of papers citing papers by Caroline Uhler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Caroline Uhler

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025