Kay‐Marie Lamar

8 papers and 392 indexed citations i.

About

Kay‐Marie Lamar is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Kay‐Marie Lamar has authored 8 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Genetics. Recurrent topics in Kay‐Marie Lamar’s work include Muscle Physiology and Disorders (4 papers), Therapeutic Advances in Cystic Fibrosis Research (2 papers) and Genetic Neurodegenerative Diseases (2 papers). Kay‐Marie Lamar is often cited by papers focused on Muscle Physiology and Disorders (4 papers), Therapeutic Advances in Cystic Fibrosis Research (2 papers) and Genetic Neurodegenerative Diseases (2 papers). Kay‐Marie Lamar collaborates with scholars based in United States and Brazil. Kay‐Marie Lamar's co-authors include Elizabeth M. McNally, Jun Wang, Ann C. Palmenberg, Haipeng Zhu, Christian Hansel, Christopher M. Gómez, Xiaofei Du, Lorenzo Rinaldo, Kathryn J. Swoboda and Yuuki Kaminoh and has published in prestigious journals such as Cell, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Kay‐Marie Lamar i

Fields of papers citing papers by Kay‐Marie Lamar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kay‐Marie Lamar. 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 Kay‐Marie Lamar. The network helps show where Kay‐Marie Lamar may publish in the future.

Countries citing papers authored by Kay‐Marie Lamar

Since Specialization
Citations

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