Monica Teta

9 papers and 1.7k indexed citations i.

About

Monica Teta is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Monica Teta has authored 9 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Surgery and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Monica Teta’s work include Pancreatic Islet Dysfunction and Regeneration (4 papers), Regulation and Function of Hair Follicle Stem Cells (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). Monica Teta is often cited by papers focused on Pancreatic Islet Dysfunction and Regeneration (4 papers), Regulation and Function of Hair Follicle Stem Cells (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). Monica Teta collaborates with scholars based in United States, Canada and Italy. Monica Teta's co-authors include Jake A. Kushner, Simon Y. Long, Matthew M. Rankin, Geneva M. Stein, Shenghui He, Mark J. Kiel, Sean J. Morrison, Trachette L. Jackson, Ewa Sicińska and Morris F. White and has published in prestigious journals such as Nature, Molecular and Cellular Biology and Development.

In The Last Decade

Co-authorship network of co-authors of Monica Teta i

Fields of papers citing papers by Monica Teta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Monica Teta

Since Specialization
Citations

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