Kathlyn J. Gan

11 papers and 373 indexed citations i.

About

Kathlyn J. Gan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Kathlyn J. Gan has authored 11 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 5 papers in Physiology. Recurrent topics in Kathlyn J. Gan’s work include Alzheimer's disease research and treatments (5 papers), Neuroscience and Neuropharmacology Research (5 papers) and Prion Diseases and Protein Misfolding (3 papers). Kathlyn J. Gan is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Neuroscience and Neuropharmacology Research (5 papers) and Prion Diseases and Protein Misfolding (3 papers). Kathlyn J. Gan collaborates with scholars based in Canada, United States and Japan. Kathlyn J. Gan's co-authors include Thomas C. Südhof, Michael Silverman, Christiana L. Cheng, Iñigo Novales Flamarique, Helena Decker, Sérgio T. Ferreira, M. Katharina Grauel, Christian Rosenmund, Marisa M. Brockmann and Christopher Patzke and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Kathlyn J. Gan i

Fields of papers citing papers by Kathlyn J. Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kathlyn J. Gan. 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 Kathlyn J. Gan. The network helps show where Kathlyn J. Gan may publish in the future.

Countries citing papers authored by Kathlyn J. Gan

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025