Dan Garza

46 papers and 4.1k indexed citations i.

About

Dan Garza is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Dan Garza has authored 46 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 10 papers in Cell Biology and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Dan Garza’s work include Chromosomal and Genetic Variations (7 papers), Neurobiology and Insect Physiology Research (7 papers) and Endoplasmic Reticulum Stress and Disease (6 papers). Dan Garza is often cited by papers focused on Chromosomal and Genetic Variations (7 papers), Neurobiology and Insect Physiology Research (7 papers) and Endoplasmic Reticulum Stress and Disease (6 papers). Dan Garza collaborates with scholars based in United States, Switzerland and Canada. Dan Garza's co-authors include Daniel L. Hartl, Marc Hild, James W. Ajioka, Richard I. Morimoto, Melanie A. Knight, J. Paul Taylor, Deborah L. Berry, Oren Schuldiner, Nicholas A. DiProspero and Eric H. Baehrecke and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Co-authorship network of co-authors of Dan Garza i

Fields of papers citing papers by Dan Garza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dan Garza

Since Specialization
Citations

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