Nicholas A. Young

1.2k total citations
32 papers, 976 citations indexed

About

Nicholas A. Young is a scholar working on Molecular Biology, Immunology and Rheumatology. According to data from OpenAlex, Nicholas A. Young has authored 32 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Immunology and 10 papers in Rheumatology. Recurrent topics in Nicholas A. Young's work include Systemic Lupus Erythematosus Research (7 papers), Extracellular vesicles in disease (4 papers) and Gout, Hyperuricemia, Uric Acid (4 papers). Nicholas A. Young is often cited by papers focused on Systemic Lupus Erythematosus Research (7 papers), Extracellular vesicles in disease (4 papers) and Gout, Hyperuricemia, Uric Acid (4 papers). Nicholas A. Young collaborates with scholars based in United States, France and Argentina. Nicholas A. Young's co-authors include James R. Van Brocklyn, Wael N. Jarjour, Dennis K. Pearl, Lai‐Chu Wu, Kyle Jablonski, Mireia Guerau‐de‐Arellano, Stephanie A. Amici, Jesús Arcos, Benjamin H. Kaffenberger and Lucia E. Rosas and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Nicholas A. Young

30 papers receiving 954 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicholas A. Young United States 16 551 258 188 107 103 32 976
Ehab Ayaub Canada 15 560 1.0× 324 1.3× 259 1.4× 89 0.8× 76 0.7× 19 1.7k
Janet Beckmann Germany 9 347 0.6× 211 0.8× 170 0.9× 113 1.1× 51 0.5× 10 764
Ye Zhao China 17 575 1.0× 300 1.2× 87 0.5× 147 1.4× 50 0.5× 33 1.3k
Elisa Gili Italy 20 411 0.7× 110 0.4× 94 0.5× 62 0.6× 94 0.9× 32 1.3k
Kamala Sundararaj United States 17 602 1.1× 217 0.8× 136 0.7× 174 1.6× 67 0.7× 26 1.1k
Miho Kimura Japan 18 479 0.9× 377 1.5× 50 0.3× 57 0.5× 121 1.2× 37 1.3k
Rachel Lotan Israel 15 581 1.1× 209 0.8× 159 0.8× 77 0.7× 37 0.4× 23 1000
Michele Scuruchi Italy 21 435 0.8× 238 0.9× 350 1.9× 176 1.6× 215 2.1× 54 1.1k
Э. М. Тарарак Russia 13 469 0.9× 338 1.3× 104 0.6× 116 1.1× 33 0.3× 30 1.0k
Szandor Simmons Germany 17 535 1.0× 350 1.4× 136 0.7× 72 0.7× 62 0.6× 29 1.0k

Countries citing papers authored by Nicholas A. Young

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas A. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas A. Young. 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 Nicholas A. Young. The network helps show where Nicholas A. Young may publish in the future.

Co-authorship network of co-authors of Nicholas A. Young

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas A. Young. A scholar is included among the top collaborators of Nicholas A. Young 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 Nicholas A. Young. Nicholas A. Young 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.
Li, Yang, Kevin M. Huang, Eman Ahmed, et al.. (2025). OATP1B-type Transport Function Is a Determinant of Aromatase Inhibitor–Associated Arthralgia Susceptibility. Cancer Research Communications. 5(3). 497–511.
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Toribio, Ramiro E., Nicholas A. Young, Larry S. Schlesinger, et al.. (2020). Cy3‐tilmanocept labeling of macrophages in joints of mice with antibody‐induced arthritis and synovium of human patients with rheumatoid arthritis. Journal of Orthopaedic Research®. 39(4). 821–830. 4 indexed citations
4.
McElhanon, Kevin E., Nicholas A. Young, Thomas A. Kwiatkowski, et al.. (2020). Autoantibodies targeting TRIM72 compromise membrane repair and contribute to inflammatory myopathy. Journal of Clinical Investigation. 130(8). 4440–4455. 15 indexed citations
5.
Bösch, Steffi, Nicholas A. Young, Grégoire Mignot, & Jean‐Marie Bach. (2020). Epigenetic Mechanisms in Immune Disease: The Significance of Toll-Like Receptor-Binding Extracellular Vesicle-Encapsulated microRNA. Frontiers in Genetics. 11. 578335–578335. 9 indexed citations
6.
Young, Nicholas A., Kyle Jablonski, Caitlin Henry, et al.. (2020). Pathological manifestation of autoimmune myocarditis is detected prior to glomerulonephritis in a murine model of lupus nephritis. Lupus. 29(13). 1790–1799. 1 indexed citations
7.
Caution, Kyle, Nicholas A. Young, Frank Robledo‐Avila, et al.. (2019). Caspase-11 Mediates Neutrophil Chemotaxis and Extracellular Trap Formation During Acute Gouty Arthritis Through Alteration of Cofilin Phosphorylation. Frontiers in Immunology. 10. 2519–2519. 57 indexed citations
8.
Hildreth, Blake E., Yue Jiang, Jing Yan, et al.. (2018). Enhancer variants reveal a conserved transcription factor network governed by PU.1 during osteoclast differentiation. Bone Research. 6(1). 8–8. 32 indexed citations
9.
Wu, Lai‐Chu, William L. Willis, Stacy P. Ardoin, et al.. (2017). Daily Moderate Exercise Is Beneficial and Social Stress Is Detrimental to Disease Pathology in Murine Lupus Nephritis. Frontiers in Physiology. 8. 236–236. 17 indexed citations
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Young, Nicholas A., Lai‐Chu Wu, Craig J. Burd, et al.. (2016). Estrogen-regulated STAT1 activation promotes TLR8 expression to facilitate signaling via microRNA-21 in systemic lupus erythematosus. Clinical Immunology. 176. 12–22. 48 indexed citations
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Agarwal, Sudha, et al.. (2014). Physical exercise attenuates inflammation via suppression of systemic macrophage activation. Osteoarthritis and Cartilage. 22. S309–S309.
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Young, Nicholas A., et al.. (2014). A chimeric human–mouse model of Sjögren's syndrome. Clinical Immunology. 156(1). 1–8. 21 indexed citations
16.
Young, Nicholas A., Mark Gardner, William L. Willis, et al.. (2014). Oral Administration of Nano-Emulsion Curcumin in Mice Suppresses Inflammatory-Induced NFκB Signaling and Macrophage Migration. PLoS ONE. 9(11). e111559–e111559. 49 indexed citations
17.
Young, Nicholas A., Lai‐Chu Wu, Craig J. Burd, et al.. (2014). Estrogen modulation of endosome-associated toll-like receptor 8: An IFNα-independent mechanism of sex-bias in systemic lupus erythematosus. Clinical Immunology. 151(1). 66–77. 67 indexed citations
18.
Knapik, Derrick M., Nicholas A. Young, Lai‐Chu Wu, et al.. (2013). Exercise antagonizes local and systemic inflammation via suppression of NF-κB activation. Osteoarthritis and Cartilage. 21. S61–S62. 1 indexed citations
19.
Young, Nicholas A., Benjamin H. Kaffenberger, Murugesan V. S. Rajaram, et al.. (2012). Novel estrogen target gene ZAS3 is overexpressed in systemic lupus erythematosus. Molecular Immunology. 54(1). 23–31. 15 indexed citations
20.
Young, Nicholas A. & James R. Van Brocklyn. (2007). Roles of sphingosine-1-phosphate (S1P) receptors in malignant behavior of glioma cells. Differential effects of S1P2 on cell migration and invasiveness. Experimental Cell Research. 313(8). 1615–1627. 109 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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