Marsha Newman

14 papers and 332 indexed citations i.

About

Marsha Newman is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Marsha Newman has authored 14 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Surgery and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Marsha Newman’s work include Pancreatic Islet Dysfunction and Regeneration (6 papers), Circadian rhythm and melatonin (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). Marsha Newman is often cited by papers focused on Pancreatic Islet Dysfunction and Regeneration (6 papers), Circadian rhythm and melatonin (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). Marsha Newman collaborates with scholars based in United States, Canada and Japan. Marsha Newman's co-authors include William L. Lowe, Joseph Bass, Kathryn Moynihan Ramsey, Yumiko Kobayashi, Benjamin J. Weidemann, Biliana Marcheva, Michelle Cook, Wenli Liu, Chelsea Hepler and Peng Gao and has published in prestigious journals such as Science, Genes & Development and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Marsha Newman i

Fields of papers citing papers by Marsha Newman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marsha Newman

Since Specialization
Citations

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