Karina T. Wright

2.6k total citations · 1 hit paper
61 papers, 2.0k citations indexed

About

Karina T. Wright is a scholar working on Rheumatology, Genetics and Surgery. According to data from OpenAlex, Karina T. Wright has authored 61 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Rheumatology, 26 papers in Genetics and 21 papers in Surgery. Recurrent topics in Karina T. Wright's work include Osteoarthritis Treatment and Mechanisms (29 papers), Mesenchymal stem cell research (26 papers) and Knee injuries and reconstruction techniques (14 papers). Karina T. Wright is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (29 papers), Mesenchymal stem cell research (26 papers) and Knee injuries and reconstruction techniques (14 papers). Karina T. Wright collaborates with scholars based in United Kingdom, China and Japan. Karina T. Wright's co-authors include William E. Johnson, Sally Roberts, Heidi R. Fuller, Sheila MacNeil, James B. Richardson, Claire Mennan, Wagih El Masri, Aheed Osman, Joy Roy Chowdhury and John Garcia and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Karina T. Wright

55 papers receiving 1.9k 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.

Mesenchymal stem cell-conditioned medium accelerates skin wound healing: An in vitro study of fibroblast and keratinocyte scratch assays

2010 395 citations Karina T. Wright, Heidi R. Fuller et al. Experimental Cell Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Karina T. Wright United Kingdom	19	976	534	454	419	319	61	2.0k
Ibrahim Kassis Israel	18	1.4k 1.5×	388 0.7×	299 0.7×	694 1.7×	358 1.1×	33	2.3k
Debora Giunti Italy	17	2.5k 2.5×	868 1.6×	541 1.2×	1.0k 2.5×	268 0.8×	27	4.0k
Naosuke Kamei Japan	27	643 0.7×	989 1.9×	680 1.5×	1.3k 3.1×	359 1.1×	124	2.9k
Roxanne L. Reger United States	14	1.1k 1.2×	740 1.4×	140 0.3×	640 1.5×	176 0.6×	18	1.9k
Il Seob Shin South Korea	16	1.4k 1.4×	669 1.3×	128 0.3×	523 1.2×	123 0.4×	22	2.1k
Bruno Delorme France	24	1.6k 1.6×	783 1.5×	149 0.3×	1.0k 2.5×	128 0.4×	34	3.1k
Jeong Chan South Korea	25	1.8k 1.9×	975 1.8×	132 0.3×	875 2.1×	248 0.8×	43	3.1k
Jueren Lou United States	26	705 0.7×	957 1.8×	265 0.6×	647 1.5×	143 0.4×	37	2.4k
Satish Totey India	22	1.0k 1.1×	582 1.1×	143 0.3×	708 1.7×	280 0.9×	32	1.9k
Dina Gaupp United States	12	1.6k 1.6×	857 1.6×	110 0.2×	599 1.4×	283 0.9×	13	2.4k

Countries citing papers authored by Karina T. Wright

Since Specialization

Citations

This map shows the geographic impact of Karina T. Wright'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 Karina T. Wright with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karina T. Wright more than expected).

Fields of papers citing papers by Karina T. Wright

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karina T. Wright. 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 Karina T. Wright. The network helps show where Karina T. Wright may publish in the future.

Co-authorship network of co-authors of Karina T. Wright

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

All Works

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20 of 20 papers shown

McCarthy, Helen S., et al.. (2025). Socioeconomic Area Deprivation is Related to Poorer Patient-Reported Outcomes Following Autologous Chondrocyte Implantation (ACI). Cartilage. 3536474871–3536474871.

Wang, Jingsong, et al.. (2024). The clinical potential of meniscal progenitor cells. SHILAP Revista de lepidopterología. 4(4). 100166–100166. 1 indexed citations

Lowe, Catherine, Sophie Gilbert, Andrew W. McCaskie, et al.. (2024). A mixed-methods approach exploring acceptability and feasibility of trials designed to test drugs targeting prevention of post-traumatic osteoarthritis after knee injury. Bone and Joint Research. 13(9). 513–524. 1 indexed citations

Mennan, Claire, Paul Cool, Helen S. McCarthy, et al.. (2024). Intra-Articular Injection of Human Umbilical Cord-Derived Mesenchymal Stromal Cells Reduces Radiographic Osteoarthritis in an Ovine Model. Cartilage. 3526402200–3526402200.

McCarthy, Helen S., et al.. (2024). A Randomized Controlled Trial Comparing “Early” Versus “Late” Periosteal Patch Attachment to Knee Chondral Defects in Autologous Chondrocyte Implantation. Cartilage. 16(4). 427–437. 1 indexed citations

Cool, Paul, Charlotte Hulme, Mandy J. Peffers, et al.. (2024). A Comprehensive Proteomic and Bioinformatic Analysis of Human Spinal Cord Injury Plasma Identifies Proteins Associated with the Complement Cascade and Liver Function as Potential Prognostic Indicators of Neurological Outcome. Journal of Neurotrauma. 42(3-4). 292–306.

Mennan, Claire, et al.. (2023). Extracellular Vesicle Depletion Protocols of Foetal Bovine Serum Influence Umbilical Cord Mesenchymal Stromal Cell Phenotype, Immunomodulation, and Particle Release. International Journal of Molecular Sciences. 24(11). 9242–9242. 6 indexed citations

Hulme, Charlotte, et al.. (2023). Proteomic Analyses of Autologous Chondrocyte Implantation Plasma Highlight Cartilage Acidic Protein 1 as a Candidate for Preclinical Screening. The American Journal of Sports Medicine. 51(6). 1422–1433. 1 indexed citations

Thompson, Clare L., et al.. (2023). Human vascularised synovium-on-a-chip: a mechanically stimulated, microfluidic model to investigate synovial inflammation and monocyte recruitment. Biomedical Materials. 18(6). 65013–65013. 18 indexed citations

10.

Hulme, Charlotte, John Garcia, Claire Mennan, et al.. (2023). The Upscale Manufacture of Chondrocytes for Allogeneic Cartilage Therapies. Tissue Engineering Part C Methods. 29(9). 424–437. 5 indexed citations

11.

Wang, Jingsong, Sally Roberts, Jan Herman Kuiper, et al.. (2020). Characterization of regional meniscal cell and chondrocyte phenotypes and chondrogenic differentiation with histological analysis in osteoarthritic donor-matched tissues. Scientific Reports. 10(1). 21658–21658. 10 indexed citations

12.

Garcia, John, Charlotte Hulme, Claire Mennan, et al.. (2020). The synovial fluid from patients with focal cartilage defects contains mesenchymal stem/stromal cells and macrophages with pro- and anti-inflammatory phenotypes. SHILAP Revista de lepidopterología. 2(2). 100039–100039. 7 indexed citations

13.

Kuiper, Jan Herman, et al.. (2018). Impact of human platelet lysate on the expansion and chondrogenic capacity of cultured human chondrocytes for cartilage cell therapy. Osteoarthritis and Cartilage. 26. S103–S103. 6 indexed citations

14.

Hulme, Charlotte, E. Lynette Wilson, Heidi R. Fuller, et al.. (2018). Two independent proteomic approaches provide a comprehensive analysis of the synovial fluid proteome response to Autologous Chondrocyte Implantation. Arthritis Research & Therapy. 20(1). 87–87. 6 indexed citations

15.

Hulme, Charlotte, E. Lynette Wilson, Mandy J. Peffers, et al.. (2017). Autologous chondrocyte implantation-derived synovial fluids display distinct responder and non-responder proteomic profiles. Arthritis Research & Therapy. 19(1). 150–150. 17 indexed citations

16.

Garcia, John, Claire Mennan, Helen S. McCarthy, et al.. (2016). Chondrogenic Potency Analyses of Donor‐Matched Chondrocytes and Mesenchymal Stem Cells Derived from Bone Marrow, Infrapatellar Fat Pad, and Subcutaneous Fat. Stem Cells International. 2016(1). 6969726–6969726. 58 indexed citations

17.

Bara, Jennifer J., Sally Roberts, Gareth Griffiths, et al.. (2015). High content and high throughput screening to assess the angiogenic and neurogenic actions of mesenchymal stem cells in vitro. Experimental Cell Research. 333(1). 93–104. 3 indexed citations

18.

Wright, Karina T., Ann Logan, Andrew J. Lilly, et al.. (2010). Extracellular Nm23H1 stimulates neurite outgrowth from dorsal root ganglia neurons in vitro independently of nerve growth factor supplementation or its nucleoside diphosphate kinase activity. Biochemical and Biophysical Research Communications. 398(1). 79–85. 9 indexed citations

19.

Bajada, Stefan, Michael J. Marshall, Karina T. Wright, James B. Richardson, & William E. Johnson. (2009). Decreased osteogenesis, increased cell senescence and elevated Dickkopf-1 secretion in human fracture non union stromal cells. Bone. 45(4). 726–735. 79 indexed citations

20.

Wright, Karina T., Wagih El Masri, Aheed Osman, et al.. (2007). Bone marrow stromal cells stimulate neurite outgrowth over neural proteoglycans (CSPG), myelin associated glycoprotein and Nogo-A. Biochemical and Biophysical Research Communications. 354(2). 559–566. 68 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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