Alexis Dang

790 total citations
22 papers, 573 citations indexed

About

Alexis Dang is a scholar working on Rheumatology, Surgery and Molecular Biology. According to data from OpenAlex, Alexis Dang has authored 22 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Rheumatology, 10 papers in Surgery and 4 papers in Molecular Biology. Recurrent topics in Alexis Dang's work include Osteoarthritis Treatment and Mechanisms (14 papers), Shoulder Injury and Treatment (3 papers) and Immune Response and Inflammation (3 papers). Alexis Dang is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (14 papers), Shoulder Injury and Treatment (3 papers) and Immune Response and Inflammation (3 papers). Alexis Dang collaborates with scholars based in United States, Canada and Russia. Alexis Dang's co-authors include Michael Davies, Hubert T. Kim, Alan B. C. Dang, Joshua Chen, Alfred C. Kuo, John G. Costouros, Karsyn N. Bailey, Cristal S. Yee, Tamara Alliston and Ruyan Rahnama and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Bone and Joint Surgery and The FASEB Journal.

In The Last Decade

Alexis Dang

22 papers receiving 558 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexis Dang United States 14 263 210 103 98 93 22 573
Fabian Gilbert Germany 14 427 1.6× 138 0.7× 184 1.8× 101 1.0× 166 1.8× 62 757
Mengning Yan China 19 627 2.4× 290 1.4× 57 0.6× 157 1.6× 211 2.3× 57 1.0k
Jacopo Baldi Italy 15 259 1.0× 78 0.4× 36 0.3× 148 1.5× 149 1.6× 38 743
Makoto FUJIKI Japan 15 183 0.7× 150 0.7× 32 0.3× 100 1.0× 50 0.5× 51 588
M. Siebelt Netherlands 18 344 1.3× 485 2.3× 28 0.3× 138 1.4× 218 2.3× 32 887
Zakareya Gamie United Kingdom 17 350 1.3× 156 0.7× 74 0.7× 161 1.6× 99 1.1× 42 832
Junichi Kushioka Japan 16 209 0.8× 92 0.4× 29 0.3× 155 1.6× 207 2.2× 35 699
Catharina Chiari Austria 17 757 2.9× 333 1.6× 58 0.6× 140 1.4× 135 1.5× 60 1.2k
Rui He China 14 271 1.0× 235 1.1× 21 0.2× 220 2.2× 87 0.9× 58 799
Dong‐Sik Chae South Korea 12 166 0.6× 117 0.6× 28 0.3× 83 0.8× 230 2.5× 42 564

Countries citing papers authored by Alexis Dang

Since Specialization
Citations

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

Fields of papers citing papers by Alexis Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexis Dang

This figure shows the co-authorship network connecting the top 25 collaborators of Alexis Dang. A scholar is included among the top collaborators of Alexis Dang 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 Alexis Dang. Alexis Dang 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.
Dang, Alexis, et al.. (2025). A High-Throughput Behavioral Assay for Screening Novel Anxiolytics in Larval Zebrafish. Pharmaceuticals. 18(7). 968–968. 1 indexed citations
2.
Davies, Martyn C., Ashish Kumar, Alexis Dang, et al.. (2025). Reduced Palmitoylation of SQSTM1 /p62 in Huntington Disease Is Associated With Impaired Autophagy. The FASEB Journal. 39(9). e70549–e70549. 5 indexed citations
3.
Moore, Laura, Carlin Lee, Obiajulu Agha, et al.. (2022). A novel mouse model of hindlimb joint contracture with 3D‐printed casts. Journal of Orthopaedic Research®. 40(12). 2865–2872. 6 indexed citations
4.
Chen, Joshua, Alan B. C. Dang, & Alexis Dang. (2021). Comparing cost and print time estimates for six commercially-available 3D printers obtained through slicing software for clinically relevant anatomical models. SHILAP Revista de lepidopterología. 7(1). 1–1. 53 indexed citations
5.
Chen, Joshua, K. Tanaka, Alan B. C. Dang, & Alexis Dang. (2020). Identifying a commercially-available 3D printing process that minimizes model distortion after annealing and autoclaving and the effect of steam sterilization on mechanical strength. SHILAP Revista de lepidopterología. 6(1). 9–9. 26 indexed citations
6.
Bailey, Karsyn N., et al.. (2020). Mechanosensitive Control of Articular Cartilage and Subchondral Bone Homeostasis in Mice Requires Osteocytic Transforming Growth Factor β Signaling. Arthritis & Rheumatology. 73(3). 414–425. 31 indexed citations
7.
Mazur, Courtney M., Cristal S. Yee, Aaron J. Fields, et al.. (2019). Osteocyte dysfunction promotes osteoarthritis through MMP13-dependent suppression of subchondral bone homeostasis. Bone Research. 7(1). 34–34. 83 indexed citations
8.
Dang, Alexis & Michael Davies. (2018). Rotator Cuff Disease: Treatment Options and Considerations. Sports Medicine and Arthroscopy Review. 26(3). 129–133. 108 indexed citations
9.
Magnitsky, Sergey, Gerd Melkus, Karupppasamy Subburaj, et al.. (2016). Kartogenin treatment prevented joint degeneration in a rodent model of osteoarthritis: A pilot study. Journal of Orthopaedic Research®. 34(10). 1780–1789. 36 indexed citations
10.
Melkus, Gerd, Karupppasamy Subburaj, Sergey Magnitsky, et al.. (2014). Quantitative T1ρ, T2 and T2* mapping of articular cartilage changes in a rat model of osteoarthritis using in vivo high-resolution magnetic resonance imaging. Osteoarthritis and Cartilage. 22. S252–S253. 1 indexed citations
11.
Dang, Alexis & Alfred C. Kuo. (2014). Cartilage Biomechanics and Implications for Treatment of Cartilage Injuries. Operative Techniques in Orthopaedics. 24(4). 288–292. 1 indexed citations
12.
Dang, Alexis, et al.. (2014). Reduction of environmental temperature mitigates local anesthetic cytotoxicity in bovine articular chondrocytes.. PubMed. 13(3). 516–21. 3 indexed citations
13.
Rahnama, Ruyan, Miqi Wang, Alexis Dang, Hubert T. Kim, & Alfred C. Kuo. (2013). Cytotoxicity of Local Anesthetics on Human Mesenchymal Stem Cells. Journal of Bone and Joint Surgery. 95(2). 132–137. 46 indexed citations
15.
Dang, Alexis & Hubert T. Kim. (2009). Chondrocyte Apoptosis after Simulated Intraarticular Fracture: A Comparison of Histologic Detection Methods. Clinical Orthopaedics and Related Research. 467(7). 1877–1884. 16 indexed citations
16.
Kim, Hubert T., et al.. (2008). Chondrocyte Apoptosis: Implications for Osteochondral Allograft Transplantation. Clinical Orthopaedics and Related Research. 466(8). 1819–1825. 19 indexed citations
17.
Dang, Alexis, et al.. (2006). Beneficial effects of intra-articular caspase inhibition therapy following osteochondral injury. Osteoarthritis and Cartilage. 14(6). 526–532. 28 indexed citations
18.
Costouros, John G., et al.. (2003). Inhibition of chondrocyte apoptosis in vivo following acute osteochondral injury. Osteoarthritis and Cartilage. 11(10). 756–759. 17 indexed citations
19.
Costouros, John G., Alexis Dang, & Hubert T. Kim. (2003). Comparison of chondrocyte apoptosis in vivo and in vitro following acute osteochondral injury. Journal of Orthopaedic Research®. 22(3). 678–683. 24 indexed citations
20.
Dang, Alexis, et al.. (2002). Acute abdominal pain. Four classifications can guide assessment and management.. PubMed. 57(3). 30–2, 35. 23 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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