Dan Garza
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Cell Biology top 1%
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- Heat shock proteins research 4
- CRISPR and Genetic Engineering 4
- Ubiquitin and proteasome pathways 3
- Cell Biology 11
- Endoplasmic Reticulum Stress and Disease 7
- Co-authors
- Daniel L. Hartl (7 shared papers)Marc Hild (4 shared papers)James W. Ajioka (4 shared papers)Richard I. Morimoto (4 shared papers)Ho‐Juhn Song (4 shared papers)Adriana Villella (3 shared papers)Oren Schuldiner (1 shared paper)J. Paul Taylor (1 shared paper)
- Journals
- Genetics (5 papers)Developmental Biology (3 papers)PLoS ONE (2 papers)Genome Research (2 papers)Nature (2 papers)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Dan Garza
47 papers receiving 4.2k citations
Dan Garza's Hit Papers
Peers
Comparison fields: 5 of 126
- Aging 288
- Cell Biology 1.0k
- Molecular Biology 2.7k
- Cellular and Molecular Neuroscience 662
- Physiology 569
Countries citing papers authored by Dan Garza
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).
Fields of papers citing papers by Dan Garza
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.
Co-authors
The 25 scholars most cited alongside Dan Garza, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | HDAC6 rescues neurodegeneration and provides an essential link between autophagy and the UPS Hit paper breakdown → | 2007 | 980 |
| 2 | 2014 | 427 | |
| 3 | 1994 | 240 | |
| 4 | 2004 | 194 | |
| 5 | 2011 | 182 | |
| 6 | 2016 | 174 | |
| 7 | 2011 | 173 | |
| 8 | 2003 | 169 | |
| 9 | 2007 | 137 | |
| 10 | 1990 | 136 | |
| 11 | 2009 | 133 | |
| 12 | 1989 | 105 | |
| 13 | 2008 | 91 | |
| 14 | 1991 | 86 | |
| 15 | 2008 | 83 | |
| 16 | 2012 | 78 | |
| 17 | 2008 | 76 | |
| 18 | 1990 | 76 | |
| 19 | 2014 | 72 | |
| 20 | 1985 | 68 |
About Dan Garza
Dan Garza is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Genetics and Plant Science, having authored 47 papers that have together received 4.2k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (7 papers), Chromosomal and Genetic Variations (7 papers), Neurobiology and Insect Physiology Research (6 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Alzheimer's disease research and treatments (4 papers), Heat shock proteins research (4 papers), CRISPR and Genetic Engineering (4 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Aging (288 citations), Cell Biology (1.0k citations), Molecular Biology (2.7k citations), Cellular and Molecular Neuroscience (662 citations) and Physiology (569 citations). Dan Garza has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Daniel L. Hartl, Marc Hild, James W. Ajioka, Richard I. Morimoto, Ho‐Juhn Song, Adriana Villella, Oren Schuldiner, J. Paul Taylor, Tso-Pang Yao and Zhiping Nie. Their work appears in journals such as Genetics, Developmental Biology, PLoS ONE, Genome Research and Nature.
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.