Denise Esserman

104 papers and 3.3k indexed citations i.

About

Denise Esserman is a scholar working on Statistics and Probability, Economics and Econometrics and Family Practice. According to data from OpenAlex, Denise Esserman has authored 104 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Statistics and Probability, 15 papers in Economics and Econometrics and 13 papers in Family Practice. Recurrent topics in Denise Esserman’s work include Statistical Methods in Clinical Trials (20 papers), Statistical Methods and Bayesian Inference (19 papers) and Advanced Causal Inference Techniques (15 papers). Denise Esserman is often cited by papers focused on Statistical Methods in Clinical Trials (20 papers), Statistical Methods and Bayesian Inference (19 papers) and Advanced Causal Inference Techniques (15 papers). Denise Esserman collaborates with scholars based in United States, Switzerland and China. Denise Esserman's co-authors include Mary T. Roth, Russell J. Mumper, Nastaran Gharkholonarehe, Christopher A. Davidson, Jacqueline E. McLaughlin, LaToya M. Griffin, Dylan M. Glatt, Kerry Bruce, Sara Jacobs and Bryan J. Weiner and has published in prestigious journals such as Journal of Clinical Investigation, Gastroenterology and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Denise Esserman i

Fields of papers citing papers by Denise Esserman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Denise Esserman

Since Specialization
Citations

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