Lisa Getty‐Kaushik

About

Lisa Getty‐Kaushik is a scholar working on Molecular Biology, Surgery and Physiology. According to data from OpenAlex, Lisa Getty‐Kaushik has authored 8 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Surgery and 4 papers in Physiology. Recurrent topics in Lisa Getty‐Kaushik’s work include Adipose Tissue and Metabolism (4 papers), Pancreatic Islet Dysfunction and Regeneration (4 papers) and Lipid metabolism and biosynthesis (3 papers). Lisa Getty‐Kaushik is often cited by papers focused on Adipose Tissue and Metabolism (4 papers), Pancreatic Islet Dysfunction and Regeneration (4 papers) and Lipid metabolism and biosynthesis (3 papers). Lisa Getty‐Kaushik collaborates with scholars based in United States and Sweden. Lisa Getty‐Kaushik's co-authors include Barbara E. Corkey, M. Michael Wolfe, Diane H. Song, Michael O. Boylan, Ann-Marie Richard, Eva Tseng, Jude T. Deeney, Orian Shirihai, Sarah A. Krawczyk and Gordon C. Yaney and has published in prestigious journals such as Gastroenterology, Diabetes and AJP Endocrinology and Metabolism.

In The Last Decade

Co-authorship network of co-authors of Lisa Getty‐Kaushik i

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Fields of papers citing papers by Lisa Getty‐Kaushik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa Getty‐Kaushik. 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 Lisa Getty‐Kaushik. The network helps show where Lisa Getty‐Kaushik may publish in the future.

Countries citing papers authored by Lisa Getty‐Kaushik

Since Specialization

Citations

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