Gina L. Mazza

57 papers and 995 indexed citations i.

About

Gina L. Mazza is a scholar working on Statistics and Probability, Oncology and Economics and Econometrics. According to data from OpenAlex, Gina L. Mazza has authored 57 papers receiving a total of 995 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics and Probability, 11 papers in Oncology and 11 papers in Economics and Econometrics. Recurrent topics in Gina L. Mazza’s work include Health Systems, Economic Evaluations, Quality of Life (9 papers), Statistical Methods in Clinical Trials (8 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers). Gina L. Mazza is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (9 papers), Statistical Methods in Clinical Trials (8 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers). Gina L. Mazza collaborates with scholars based in United States, Australia and China. Gina L. Mazza's co-authors include David P. MacKinnon, Craig K. Enders, Russell A. Poldrack, Ian W. Eisenberg, A. Zeynep Enkavi, Lisa A. Marsch, Patrick G. Bissett, Linda S. Ruehlman, Kevin J. Grimm and Irwin N. Sandler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.

In The Last Decade

Co-authorship network of co-authors of Gina L. Mazza i

Fields of papers citing papers by Gina L. Mazza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gina L. Mazza. 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 Gina L. Mazza. The network helps show where Gina L. Mazza may publish in the future.

Countries citing papers authored by Gina L. Mazza

Since Specialization
Citations

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