Ashley Williams

14.5k total citations
45 papers, 1.9k citations indexed

About

Ashley Williams is a scholar working on Rheumatology, Surgery and Biomedical Engineering. According to data from OpenAlex, Ashley Williams has authored 45 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Rheumatology, 28 papers in Surgery and 12 papers in Biomedical Engineering. Recurrent topics in Ashley Williams's work include Osteoarthritis Treatment and Mechanisms (29 papers), Knee injuries and reconstruction techniques (23 papers) and Total Knee Arthroplasty Outcomes (21 papers). Ashley Williams is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (29 papers), Knee injuries and reconstruction techniques (23 papers) and Total Knee Arthroplasty Outcomes (21 papers). Ashley Williams collaborates with scholars based in United States, Australia and United Kingdom. Ashley Williams's co-authors include Constance R. Chu, Yongxian Qian, Deborah Burstein, Charles A. McKenzie, Christian H. Coyle, Pottumarthi V. Prasad, Leena Sharma, Megan Bowers, Daniel M. Bear and Fernando E. Boada and has published in prestigious journals such as Journal of Bone and Joint Surgery, The American Journal of Sports Medicine and Magnetic Resonance in Medicine.

In The Last Decade

Ashley Williams

42 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashley Williams United States 25 1.2k 1.1k 603 494 318 45 1.9k
S. Zaïm United States 13 1.6k 1.4× 1.3k 1.2× 762 1.3× 394 0.8× 296 0.9× 19 2.4k
Stephan Domayer Austria 27 1.2k 1.0× 1.3k 1.2× 641 1.1× 494 1.0× 158 0.5× 54 2.0k
Matthias Aurich Germany 18 503 0.4× 390 0.4× 306 0.5× 293 0.6× 92 0.3× 74 1.1k
David Stelzeneder Austria 25 614 0.5× 741 0.7× 570 0.9× 324 0.7× 239 0.8× 48 1.6k
Annie Horng Germany 22 434 0.4× 628 0.6× 284 0.5× 249 0.5× 418 1.3× 48 1.4k
Philipp Lang United States 12 567 0.5× 508 0.5× 285 0.5× 151 0.3× 227 0.7× 18 1.0k
Sheronda Statum United States 20 284 0.2× 487 0.5× 299 0.5× 413 0.8× 393 1.2× 50 1.1k
Ahi Sema Issever Germany 18 191 0.2× 415 0.4× 417 0.7× 835 1.7× 215 0.7× 32 1.3k
Cory Wyatt United States 18 350 0.3× 384 0.4× 480 0.8× 201 0.4× 297 0.9× 30 977
Tuomas Virén Finland 18 387 0.3× 294 0.3× 317 0.5× 127 0.3× 167 0.5× 43 778

Countries citing papers authored by Ashley Williams

Since Specialization
Citations

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

Fields of papers citing papers by Ashley Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashley Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Ashley Williams. A scholar is included among the top collaborators of Ashley Williams 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 Ashley Williams. Ashley Williams 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.
Raj, Ashok, et al.. (2025). Severe Pulmonary Blastomycosis in a Young Adult: Probable Role of E‐Cigarette Use in Immunosuppression. Case Reports in Medicine. 2025(1). 6019638–6019638.
2.
Levitt, Danielle E., et al.. (2025). Using Computer Vision Libraries to Streamline Nuclei Quantification. Journal of Visualized Experiments.
3.
Goyal, Alka, Rasmus T. Pedersen, Ashley Williams, et al.. (2025). AUTOMATING IMAGING BIOMARKER ANALYSIS FOR KNEE OSTEOARTHRITIS USING AN OPEN-SOURCE MRI-BASED DEEP LEARNING PIPELINE. 5. 100288–100288. 1 indexed citations
4.
Williams, Ashley, Jessica L. Asay, Arjun Desai, et al.. (2024). Reproducibility of Quantitative Double‐Echo Steady‐State T2 Mapping of Knee Cartilage. Journal of Magnetic Resonance Imaging. 61(2). 784–795. 3 indexed citations
5.
Coyne, Christopher J., et al.. (2022). ICU Admission Risk Factors for Latinx COVID-19 Patients at a U.S.-Mexico Border Hospital. Journal of Racial and Ethnic Health Disparities. 10(6). 3039–3050. 1 indexed citations
6.
Williams, Ashley, et al.. (2018). MRI UTE‐T2* shows high incidence of cartilage subsurface matrix changes 2 years after ACL reconstruction. Journal of Orthopaedic Research®. 37(2). 370–377. 29 indexed citations
7.
8.
9.
Goodrich, Laurie R., Albert C. Chen, Natasha M. Werpy, et al.. (2016). Addition of Mesenchymal Stem Cells to Autologous Platelet-Enhanced Fibrin Scaffolds in Chondral Defects. Journal of Bone and Joint Surgery. 98(1). 23–34. 51 indexed citations
10.
Qian, Yongxian, Ashley Williams, Constance R. Chu, & Fernando E. Boada. (2012). Repeatability of ultrashort echo time‐based two‐component T2* measurements on cartilages in human knee at 3 T. Magnetic Resonance in Medicine. 69(6). 1564–1571. 12 indexed citations
11.
Qian, Yongxian, Ashley Williams, Constance R. Chu, & Fernando E. Boada. (2011). High‐resolution ultrashort echo time (UTE) imaging on human knee with AWSOS sequence at 3.0 T. Journal of Magnetic Resonance Imaging. 35(1). 204–210. 17 indexed citations
12.
Qian, Yongxian, Ashley Williams, Constance R. Chu, & Fernando E. Boada. (2010). Multicomponent T2* mapping of knee cartilage: Technical feasibility ex vivo. Magnetic Resonance in Medicine. 64(5). 1426–1431. 73 indexed citations
13.
Williams, Ashley, Yongxian Qian, & Constance R. Chu. (2010). UTE-T2∗ mapping of human articular cartilage in vivo: a repeatability assessment. Osteoarthritis and Cartilage. 19(1). 84–88. 75 indexed citations
14.
Chu, Constance R., et al.. (2010). Clinical optical coherence tomography of early articular cartilage degeneration in patients with degenerative meniscal tears. Arthritis & Rheumatism. 62(5). 1412–1420. 68 indexed citations
15.
Williams, Ashley, Yongxian Qian, Daniel M. Bear, & Constance R. Chu. (2010). Assessing degeneration of human articular cartilage with ultra-short echo time (UTE) T2* mapping. Osteoarthritis and Cartilage. 18(4). 539–546. 133 indexed citations
16.
Williams, Ashley, Shwetha K. Shetty, Deborah Burstein, Charles S. Day, & Charles A. McKenzie. (2008). Delayed gadolinium enhanced MRI of cartilage (dGEMRIC) of the first carpometacarpal (1CMC) joint: a feasibility study. Osteoarthritis and Cartilage. 16(4). 530–532. 24 indexed citations
17.
Williams, Ashley, et al.. (2007). Suitability of T1Gd as the “dGEMRIC index” at 1.5T and 3.0T. Magnetic Resonance in Medicine. 58(4). 830–834. 42 indexed citations
18.
Tiderius, Carl Johan, Ashley Williams, Leena Sharma, et al.. (2006). dGEMRIC as a function of BMI. Osteoarthritis and Cartilage. 14(11). 1091–1097. 68 indexed citations
19.
McKenzie, Charles A., Ashley Williams, Pottumarthi V. Prasad, & Deborah Burstein. (2006). Three‐dimensional delayed gadolinium‐enhanced MRI of cartilage (dGEMRIC) at 1.5T and 3.0T. Journal of Magnetic Resonance Imaging. 24(4). 928–933. 72 indexed citations
20.
Nieminen, Miika T., Nina M. Menezes, Ashley Williams, & Deborah Burstein. (2004). T2 of articular cartilage in the presence of Gd‐DTPA2−. Magnetic Resonance in Medicine. 51(6). 1147–1152. 40 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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