Dan Garza

6.0k total citations · 1 hit paper
47 papers, 4.2k citations indexed

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 47 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 11 papers in Cell Biology and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Dan Garza's work include Neurobiology and Insect Physiology Research (7 papers), Endoplasmic Reticulum Stress and Disease (7 papers) and Chromosomal and Genetic Variations (7 papers). Dan Garza is often cited by papers focused on Neurobiology and Insect Physiology Research (7 papers), Endoplasmic Reticulum Stress and Disease (7 papers) and Chromosomal and Genetic Variations (7 papers). Dan Garza collaborates with scholars based in United States, Canada and Netherlands. Dan Garza's co-authors include Daniel L. Hartl, Marc Hild, James W. Ajioka, Richard I. Morimoto, Natalia B. Nedelsky, Tso-Pang Yao, Brett A. McCray, Yakup Batlevi, Nicholas A. DiProspero and Charlotte Hubbert and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Dan Garza

47 papers receiving 4.1k citations

Hit Papers

HDAC6 rescues neurodegeneration and provides an essential... 2007 2026 2013 2019 2007 250 500 750

Peers

Dan Garza
Comparison fields: 5 of 126
  • Molecular Biology 2.8k
  • Cell Biology 1.1k
  • Epidemiology 720
  • Cellular and Molecular Neuroscience 681
  • Physiology 589
Replace Makoto Kinoshita with:
Makoto Kinoshita Japan
Ming Guo United States
Marc Hild United States
Enrico Schmidt Germany
Molly Craxton United Kingdom
Bertrand Mollereau France
Jörg Höhfeld Germany
Cristina L. Ward United States
Thorsten Hoppe Germany
Noriko Oshiro Japan
Makoto Kinoshita Japan View profile →
Citations per field, relative to Dan Garza
Dan Garza · 1×
Citations per year, relative to Dan Garza
Dan Garza · 1×

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).

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.

Co-authorship network of co-authors of Dan Garza

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Garza. A scholar is included among the top collaborators of Dan Garza based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dan Garza. Dan Garza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 173
2 72
3 64
4 33
5 173
6
Research-able through Problem-Based Learning
11
7 29
8 81
9 91
10
HDAC6 rescues neurodegeneration and provides an essential link between autophagy and the UPS breakdown →
979
11 194
12 167
13 7
14 13
15 2
16 24
17 28
18 22
19 86
20 8

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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2026