Ru Liu‐Bryan

6.6k total citations · 2 hit papers
64 papers, 5.0k citations indexed

About

Ru Liu‐Bryan is a scholar working on Molecular Biology, Nephrology and Rheumatology. According to data from OpenAlex, Ru Liu‐Bryan has authored 64 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 21 papers in Nephrology and 21 papers in Rheumatology. Recurrent topics in Ru Liu‐Bryan's work include Gout, Hyperuricemia, Uric Acid (21 papers), Inflammasome and immune disorders (16 papers) and Osteoarthritis Treatment and Mechanisms (15 papers). Ru Liu‐Bryan is often cited by papers focused on Gout, Hyperuricemia, Uric Acid (21 papers), Inflammasome and immune disorders (16 papers) and Osteoarthritis Treatment and Mechanisms (15 papers). Ru Liu‐Bryan collaborates with scholars based in United States, France and Spain. Ru Liu‐Bryan's co-authors include Robert Terkeltaub, Martin Lotz, Yun Wang, David M. Rose, Christopher K. Glass, Matthew Nguyen, Jerrold M. Olefsky, Donna Reichart, Peter Scott and Alan Jenn and has published in prestigious journals such as Journal of Biological Chemistry, ACS Nano and The Journal of Immunology.

In The Last Decade

Ru Liu‐Bryan

62 papers receiving 4.9k citations

Hit Papers

A Subpopulation of Macrophages Infiltrates Hypertrophic A... 2007 2026 2013 2019 2007 2014 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ru Liu‐Bryan United States 33 2.3k 1.8k 1.1k 855 825 64 5.0k
Nathalie Busso Switzerland 40 2.0k 0.9× 1.1k 0.6× 1.0k 1.0× 859 1.0× 547 0.7× 94 5.2k
Raquel Largo Spain 38 1.4k 0.6× 2.2k 1.2× 505 0.5× 391 0.5× 226 0.3× 130 4.9k
Shue‐Fen Luo Taiwan 37 971 0.4× 1.1k 0.6× 906 0.9× 701 0.8× 603 0.7× 101 3.7k
Hitoshi Nakashima Japan 41 835 0.4× 2.1k 1.2× 1.8k 1.7× 433 0.5× 1.1k 1.3× 172 4.9k
Helena Erlandsson Harris Sweden 40 2.0k 0.9× 1.3k 0.7× 3.2k 3.0× 149 0.2× 748 0.9× 93 7.9k
Seung‐Ki Kwok South Korea 40 1.4k 0.6× 1.8k 1.0× 2.0k 1.9× 148 0.2× 390 0.5× 224 5.2k
Arne Yndestad Norway 47 3.5k 1.5× 423 0.2× 2.3k 2.2× 424 0.5× 1.6k 1.9× 180 8.4k
Lili Feng United States 31 1.1k 0.5× 324 0.2× 1.9k 1.8× 738 0.9× 619 0.8× 59 4.9k
Xiao Ru Huang Hong Kong 55 3.9k 1.7× 408 0.2× 1.5k 1.4× 2.6k 3.0× 402 0.5× 85 8.3k
Patrice E. Poubelle Canada 36 1.6k 0.7× 404 0.2× 1.4k 1.3× 346 0.4× 196 0.2× 110 3.7k

Countries citing papers authored by Ru Liu‐Bryan

Since Specialization
Citations

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

Fields of papers citing papers by Ru Liu‐Bryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ru Liu‐Bryan. 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 Ru Liu‐Bryan. The network helps show where Ru Liu‐Bryan may publish in the future.

Co-authorship network of co-authors of Ru Liu‐Bryan

This figure shows the co-authorship network connecting the top 25 collaborators of Ru Liu‐Bryan. A scholar is included among the top collaborators of Ru Liu‐Bryan 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 Ru Liu‐Bryan. Ru Liu‐Bryan 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
1.
Liu‐Bryan, Ru, et al.. (2024). Protocol for preparing monosodium urate crystals for in vitro and in vivo studies in mouse and human cells. STAR Protocols. 5(2). 103030–103030. 1 indexed citations
2.
Elsaid, Khaled A., Gregory D. Jay, Ru Liu‐Bryan, & Robert Terkeltaub. (2023). Proteoglycan 4 (PRG4)/Lubricin and the Extracellular Matrix in Gout. Chapman University Digital Commons (Chapman University). 1(3). 122–136. 4 indexed citations
3.
Liu‐Bryan, Ru, Tracy Guo, Jennifer Lee, & Robert Terkeltaub. (2023). Atherogenic Activation of Human Vascular Smooth Muscle Cells by Monosodium Urate Crystals. MDPI (MDPI AG). 1(3). 192–207. 3 indexed citations
4.
Cobo, Isidoro, Roxana Coras, Alyssa Torres, et al.. (2022). Monosodium urate crystals regulate a unique JNK-dependent macrophage metabolic and inflammatory response. Cell Reports. 38(10). 110489–110489. 38 indexed citations
5.
Alabarse, Paulo Vinícius Gil, et al.. (2021). Inhibition of CD38 by apigenin limits injury-induced osteoarthritis development and associated pain in mice. Osteoarthritis and Cartilage. 29. S373–S374. 1 indexed citations
6.
Liu‐Bryan, Ru, et al.. (2019). Effect of nicotinamide riboside on cartilage matrix homeostasis. Osteoarthritis and Cartilage. 27. S148–S148. 4 indexed citations
7.
Liu‐Bryan, Ru, et al.. (2018). Dysregulation of the Nadase CD38 impairs articular chondrocyte homeostasis. Osteoarthritis and Cartilage. 26. S13–S13. 1 indexed citations
8.
Wang, Yun, et al.. (2018). Activation of AMPK-SIRT3 signaling is chondroprotective by preserving mitochondrial DNA integrity and function. Osteoarthritis and Cartilage. 26(11). 1539–1550. 93 indexed citations
9.
Chen, Liang-Yü, Martin Lotz, Robert Terkeltaub, & Ru Liu‐Bryan. (2018). Modulation of matrix metabolism by ATP-citrate lyase in articular chondrocytes. Journal of Biological Chemistry. 293(31). 12259–12270. 23 indexed citations
10.
Liu‐Bryan, Ru, et al.. (2017). Adenosine triphosphate citrate lyase in cartilage homeostasis and osteoarthritis. Osteoarthritis and Cartilage. 25. S64–S65.
11.
Liu‐Bryan, Ru. (2013). Synovium and the Innate Inflammatory Network in Osteoarthritis Progression. Current Rheumatology Reports. 15(5). 323–323. 145 indexed citations
12.
Zhao, Xueyan, Robert Terkeltaub, Martin Lotz, & Ru Liu‐Bryan. (2013). AMPK-SIRT1-PGC-1α signaling regulates mitochondrial function in human articular chondrocytes. Osteoarthritis and Cartilage. 21. S128–S128. 2 indexed citations
13.
Akasaki, Yukio, Ru Liu‐Bryan, Robert Terkeltaub, & Martin Lotz. (2013). Dysregulated foxo transcription factors in articular cartilage in aging and osteoarthritis. Osteoarthritis and Cartilage. 21. S129–S129. 3 indexed citations
15.
Torres, Richard, Lynn E. Macdonald, Susan D. Croll, et al.. (2009). Hyperalgesia, synovitis and multiple biomarkers of inflammation are suppressed by interleukin 1 inhibition in a novel animal model of gouty arthritis. Annals of the Rheumatic Diseases. 68(10). 1602–1608. 128 indexed citations
16.
Gumá, Mónica, Lisa Ronacher, Ru Liu‐Bryan, et al.. (2009). Caspase 1–independent activation of interleukin‐1β in neutrophil‐predominant inflammation. Arthritis & Rheumatism. 60(12). 3642–3650. 249 indexed citations
17.
Ma, Hong, et al.. (2006). Engagement of CD14 Mediates the Inflammatory Potential of Monosodium Urate Crystals. The Journal of Immunology. 177(9). 6370–6378. 128 indexed citations
18.
Liu‐Bryan, Ru, Kenneth P. H. Pritzker, Gary S. Firestein, & Robert Terkeltaub. (2005). TLR2 Signaling in Chondrocytes Drives Calcium Pyrophosphate Dihydrate and Monosodium Urate Crystal-Induced Nitric Oxide Generation. The Journal of Immunology. 174(8). 5016–5023. 192 indexed citations
20.
Liu‐Bryan, Ru, Salih Pay, Ingrid U. Schraufstätter, & David M. Rose. (2005). The CXCR1 tail mediates β1 integrin-dependent cell migration via MAP kinase signaling. Biochemical and Biophysical Research Communications. 332(1). 117–125. 11 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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