Ryan Garrity

2.9k citations
16 papers · 2.2k · 3 hit papers · h-index 11

Impact in

  • Physiology top 5%
    • Adipose Tissue and Metabolism
    • Diet and metabolism studies
  • Aging top 10%

Papers in

Ryan Garrity

16 papers receiving 2.1k citations

Ryan Garrity's Hit Papers

In vivo CRISPR base editing of PCSK9 durably lowers cholesterol in primates 2021 · 610 citations
6100+2+5Years since publication200400600

Peers

Ryan Garrity
Comparison fields: 5 of 111
  • Physiology 660
  • Aging 42
  • Biochemistry 149
  • Molecular Biology 1.2k
  • Rehabilitation 96
Replace Scott J. Novick with:
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Hong‐Ye Zhao China
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Ryan Garrity relative to Scott J. Novick United States Scott J. Novick's profile →
Citations per field
00.5×2×2.6×
Scott J. Novick · 1×
Citations per year

Countries citing papers authored by Ryan Garrity

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Garrity

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ryan Garrity, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ryan Garrity Line = papers co-authored together Ryan Garrity links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
In vivo CRISPR base editing of PCSK9 durably lowers cholesterol in primates
Hit paper breakdown →
2021610
2
Accumulation of succinate controls activation of adipose tissue thermogenesis
Hit paper breakdown →
2018434
3
A Quantitative Tissue-Specific Landscape of Protein Redox Regulation during Aging
Hit paper breakdown →
2020315
4 2019202
5 2020199
6 2021142
7 2022101
8 202148
9 202034
10 202229
11 202425
12 202311
13 20238
14 20248
15 20151
16 20221

About Ryan Garrity

Ryan Garrity is a scholar working on Physiology, Cell Biology, Molecular Biology, Cancer Research and Clinical Biochemistry, having authored 16 papers that have together received 2.2k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (8 papers), Mitochondrial Function and Pathology (5 papers), Muscle metabolism and nutrition (3 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), CRISPR and Genetic Engineering (1 paper), Lipid metabolism and biosynthesis (1 paper) and Pharmacological Effects of Natural Compounds (1 paper). The work is most often cited by research in Physiology (660 citations), Aging (42 citations), Biochemistry (149 citations), Molecular Biology (1.2k citations) and Rehabilitation (96 citations). Ryan Garrity has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Gygi Steven P., Evanna L. Mills, Mark P. Jedrychowski, Lawrence Kazak, Edward T. Chouchani, Edward T. Chouchani, Sara Vidoni, Haopeng Xiao, Anita J Reddy and Michael P. Murphy. Their work appears in journals such as Nature, Cell, Nature Metabolism, European Heart Journal and Atherosclerosis.

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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