Ryan Garrity

2.7k total citations · 2 hit papers
14 papers, 1.3k citations indexed

About

Ryan Garrity is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Ryan Garrity has authored 14 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Physiology and 5 papers in Cell Biology. Recurrent topics in Ryan Garrity's work include Adipose Tissue and Metabolism (7 papers), Mitochondrial Function and Pathology (5 papers) and Muscle metabolism and nutrition (3 papers). Ryan Garrity is often cited by papers focused on Adipose Tissue and Metabolism (7 papers), Mitochondrial Function and Pathology (5 papers) and Muscle metabolism and nutrition (3 papers). Ryan Garrity collaborates with scholars based in United States, United Kingdom and Denmark. Ryan Garrity's co-authors include Steven P. Gygi, Evanna L. Mills, Mark P. Jedrychowski, Lawrence Kazak, Edward T. Chouchani, Edward T. Chouchani, Sara Vidoni, Haopeng Xiao, Anita Reddy and Michael P. Murphy and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Ryan Garrity

14 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Accumulation of succinate controls activation of adipose tissue thermogenesis

2018 376 citations Evanna L. Mills, Kerry A. Pierce et al. Nature profile →
A Quantitative Tissue-Specific Landscape of Protein Redox Regulation during Aging

2020 260 citations Haopeng Xiao, Mark P. Jedrychowski et al. Cell profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ryan Garrity United States	10	724	600	212	159	136	14	1.3k
Eili Tranheim Kase Norway	22	661 0.9×	581 1.0×	126 0.6×	259 1.6×	164 1.2×	51	1.3k
Ruojing Yang United States	15	1.2k 1.7×	803 1.3×	325 1.5×	180 1.1×	213 1.6×	23	1.9k
Arild C. Rustan Norway	23	739 1.0×	682 1.1×	204 1.0×	223 1.4×	273 2.0×	57	1.5k
Jong Hyuk Yoon South Korea	20	897 1.2×	341 0.6×	232 1.1×	119 0.7×	39 0.3×	44	1.5k
Dequan Zhou United States	11	362 0.5×	547 0.9×	377 1.8×	77 0.5×	104 0.8×	17	1.0k
Anton Petcherski United States	14	886 1.2×	524 0.9×	411 1.9×	224 1.4×	269 2.0×	25	1.5k
Bobby R. Monks United States	11	1.0k 1.4×	504 0.8×	358 1.7×	150 0.9×	96 0.7×	12	1.6k
Denise C. Fernandes Brazil	23	553 0.8×	369 0.6×	112 0.5×	242 1.5×	102 0.8×	40	1.5k
Brante P. Sampey United States	17	708 1.0×	412 0.7×	320 1.5×	89 0.6×	73 0.5×	19	1.5k
Cristina Godio Italy	19	991 1.4×	348 0.6×	250 1.2×	86 0.5×	155 1.1×	27	1.7k

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-authorship network of co-authors of Ryan Garrity

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan Garrity. A scholar is included among the top collaborators of Ryan Garrity 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 Ryan Garrity. Ryan Garrity is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Reddy, Anita, Sally Winther, Nhien Tran, et al.. (2024). Monocarboxylate transporters facilitate succinate uptake into brown adipocytes. Nature Metabolism. 6(3). 567–577. 15 indexed citations

Lee, Richard, Anne Marie Mazzola, Taiji Mizoguchi, et al.. (2024). An investigational in vivo base editing medicine targeting ANGPTL3, VERVE-201, achieves precise and durable liver editing in nonclinical studies. Atherosclerosis. 395. 118496–118496. 4 indexed citations

DeNizio, Jamie E., Chaitali Dutta, Victoria Clendaniel, et al.. (2023). An investigational in vivo base editing medicine targeting ANGPTL3, VERVE-201, achieves potent and LDLR-independent liver editing in mouse models. European Heart Journal. 44(Supplement_2). 8 indexed citations

Lee, Richard, Chaitali Dutta, Hui‐Ting Hsu, et al.. (2023). PRECLINICAL DATA SUPPORTING POTENTIAL EFFICACY OF VERVE-201 - AN INVESTIGATIONAL CRISPR BASE EDITING MEDICINE TARGETING ANGPTL3 - IN PRIMARY HUMAN CELLS, MICE, AND NON-HUMAN PRIMATES. Journal of the American College of Cardiology. 81(8). 1115–1115. 9 indexed citations

Bertholet, Ambre M., Andrew M. Natale, Paola Bisignano, et al.. (2022). Mitochondrial uncouplers induce proton leak by activating AAC and UCP1. Nature. 606(7912). 180–187. 83 indexed citations

Bertholet, Ambre M., Andrew M. Natale, Paola Bisignano, et al.. (2022). Mitochondrial uncouplers induce proton leak by activating AAC and UCP1. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1863. 148719–148719. 1 indexed citations

Mills, Evanna L., Cathal Harmon, Mark P. Jedrychowski, et al.. (2021). UCP1 governs liver extracellular succinate and inflammatory pathogenesis. Nature Metabolism. 3(5). 604–617. 114 indexed citations

Mills, Evanna L., Cathal Harmon, Mark P. Jedrychowski, et al.. (2021). Cysteine 253 of UCP1 regulates energy expenditure and sex-dependent adipose tissue inflammation. Cell Metabolism. 34(1). 140–157.e8. 38 indexed citations

Reddy, Anita, Luiz H. M. Bozi, Omar Yaghi, et al.. (2020). pH-Gated Succinate Secretion Regulates Muscle Remodeling in Response to Exercise. Cell. 183(1). 62–75.e17. 166 indexed citations

10.

Xiao, Haopeng, Mark P. Jedrychowski, Devin K. Schweppe, et al.. (2020). A Quantitative Tissue-Specific Landscape of Protein Redox Regulation during Aging. Cell. 180(5). 968–983.e24. 260 indexed citations breakdown →

11.

Jedrychowski, Mark P., Gina Z. Lu, John Szpyt, et al.. (2020). Facultative protein selenation regulates redox sensitivity, adipose tissue thermogenesis, and obesity. Proceedings of the National Academy of Sciences. 117(20). 10789–10796. 31 indexed citations

12.

Bertholet, Ambre M., Edward T. Chouchani, Lawrence Kazak, et al.. (2019). H+ transport is an integral function of the mitochondrial ADP/ATP carrier. Nature. 571(7766). 515–520. 190 indexed citations

13.

Mills, Evanna L., Kerry A. Pierce, Mark P. Jedrychowski, et al.. (2018). Accumulation of succinate controls activation of adipose tissue thermogenesis. Nature. 560(7716). 102–106. 376 indexed citations breakdown →

14.

Garrity, Ryan, et al.. (2015). Alteration of p‐PKM2 by UV radiation and H2O2 in Human Keratinocytes. The FASEB Journal. 29(S1). 1 indexed citations

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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