Mary Jo LaDu

106 papers and 9.4k indexed citations i.

About

Mary Jo LaDu is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mary Jo LaDu has authored 106 papers receiving a total of 9.4k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Physiology, 38 papers in Molecular Biology and 31 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mary Jo LaDu’s work include Alzheimer's disease research and treatments (79 papers), Nuclear Receptors and Signaling (20 papers) and Computational Drug Discovery Methods (20 papers). Mary Jo LaDu is often cited by papers focused on Alzheimer's disease research and treatments (79 papers), Nuclear Receptors and Signaling (20 papers) and Computational Drug Discovery Methods (20 papers). Mary Jo LaDu collaborates with scholars based in United States, China and Italy. Mary Jo LaDu's co-authors include W. Blaine Stine, Grant A. Krafft, Arlene M. Manelli, Godfrey S. Getz, Catherine A. Reardon, Chunjiang Yu, Lorinda K. Baker, Linda J. Van Eldik, Leon M. Tai and Guojun Bu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Mary Jo LaDu i

Fields of papers citing papers by Mary Jo LaDu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary Jo LaDu. 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 Mary Jo LaDu. The network helps show where Mary Jo LaDu may publish in the future.

Countries citing papers authored by Mary Jo LaDu

Since Specialization
Citations

This map shows the geographic impact of Mary Jo LaDu'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 Mary Jo LaDu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary Jo LaDu 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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2025