Paula M. Loria

35 papers and 3.4k indexed citations i.

About

Paula M. Loria is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Paula M. Loria has authored 35 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 9 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Genetics. Recurrent topics in Paula M. Loria’s work include Receptor Mechanisms and Signaling (5 papers), Muscle Physiology and Disorders (4 papers) and Estrogen and related hormone effects (4 papers). Paula M. Loria is often cited by papers focused on Receptor Mechanisms and Signaling (5 papers), Muscle Physiology and Disorders (4 papers) and Estrogen and related hormone effects (4 papers). Paula M. Loria collaborates with scholars based in United States, Australia and United Kingdom. Paula M. Loria's co-authors include Geoffrey L. Greene, Lin Cheng, David A. Agard, Peter J. Kushner, Andrew K. Shiau, Oliver Hobert, Nicola Carulli, Jonathan Hodgkin, Amedeo Lonardo and Thomas A. Brown and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Paula M. Loria i

Fields of papers citing papers by Paula M. Loria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paula M. Loria. 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 Paula M. Loria. The network helps show where Paula M. Loria may publish in the future.

Countries citing papers authored by Paula M. Loria

Since Specialization
Citations

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