Paul W. Kopesky

865 total citations
17 papers, 629 citations indexed

About

Paul W. Kopesky is a scholar working on Rheumatology, Cell Biology and Molecular Biology. According to data from OpenAlex, Paul W. Kopesky has authored 17 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Rheumatology, 9 papers in Cell Biology and 5 papers in Molecular Biology. Recurrent topics in Paul W. Kopesky's work include Osteoarthritis Treatment and Mechanisms (10 papers), Proteoglycans and glycosaminoglycans research (9 papers) and Veterinary Equine Medical Research (3 papers). Paul W. Kopesky is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (10 papers), Proteoglycans and glycosaminoglycans research (9 papers) and Veterinary Equine Medical Research (3 papers). Paul W. Kopesky collaborates with scholars based in United States and Canada. Paul W. Kopesky's co-authors include Alan J. Grodzinsky, David D. Frisbie, John D. Kisiday, Eric J. Vanderploeg, Christopher H. Evans, C. Wayne McIlwraith, John D. Sandy, Susan Chubinskaya, Anna Plaas and Bodo Kurz and has published in prestigious journals such as Clinical Orthopaedics and Related Research, Journal of Orthopaedic Research® and Osteoarthritis and Cartilage.

In The Last Decade

Paul W. Kopesky

17 papers receiving 616 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul W. Kopesky United States 10 363 185 175 139 125 17 629
Eric J. Vanderploeg United States 14 415 1.1× 203 1.1× 266 1.5× 128 0.9× 101 0.8× 17 709
Katsura Sugawara Japan 13 231 0.6× 128 0.7× 154 0.9× 109 0.8× 82 0.7× 24 445
Han Na Yang South Korea 19 284 0.8× 265 1.4× 150 0.9× 321 2.3× 132 1.1× 24 892
Nicole Georgi Netherlands 11 510 1.4× 200 1.1× 224 1.3× 145 1.0× 214 1.7× 15 853
Simone W. van der Veen Netherlands 11 435 1.2× 208 1.1× 238 1.4× 65 0.5× 188 1.5× 11 635
Evgeny Rossomacha Canada 12 650 1.8× 185 1.0× 362 2.1× 264 1.9× 184 1.5× 18 1.1k
A.M. Freyria France 12 286 0.8× 136 0.7× 144 0.8× 73 0.5× 133 1.1× 23 510
Henning Madry Germany 10 472 1.3× 144 0.8× 293 1.7× 81 0.6× 149 1.2× 20 661
Andrea R. Tan United States 14 285 0.8× 189 1.0× 195 1.1× 78 0.6× 79 0.6× 22 585
Yanbin Pi China 12 168 0.5× 139 0.8× 182 1.0× 282 2.0× 55 0.4× 24 749

Countries citing papers authored by Paul W. Kopesky

Since Specialization
Citations

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

Fields of papers citing papers by Paul W. Kopesky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul W. Kopesky. 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 Paul W. Kopesky. The network helps show where Paul W. Kopesky may publish in the future.

Co-authorship network of co-authors of Paul W. Kopesky

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

All Works

17 of 17 papers shown
1.
2.
Jamieson, James D., Tao Bai, Carla Lucini, et al.. (2024). SCALING MANUFACTURING OF CD34+ HEMATOPOIETIC STEM AND PROGENITOR CELLS (HSPCs) WITH AN AUTOMATED AND INTEGRATED CELL ISOLATION SYSTEM. Cytotherapy. 26(6). S138–S138. 1 indexed citations
3.
Kopesky, Paul W., Rachel Rennard, Neeraj Kohli, et al.. (2017). A cartilage-targeted insulin-like growth factor-1 is retained in cartilage and promotes extracellular matrix maintenance in rat medial meniscus tear model. Osteoarthritis and Cartilage. 25. S53–S54. 1 indexed citations
4.
Chubinskaya, S., et al.. (2014). Effects of insulin-like growth factor-1 and dexamethasone on cytokine-challenged cartilage: relevance to post-traumatic osteoarthritis. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
5.
Wang, Yan, et al.. (2014). Effects of insulin-like growth factor-1 and dexamethasone on cytokine-challenged cartilage: relevance to post-traumatic osteoarthritis. Osteoarthritis and Cartilage. 23(2). 266–274. 101 indexed citations
6.
Kopesky, Paul W., et al.. (2014). Autocrine signaling is a key regulatory element during osteoclastogenesis. Biology Open. 3(8). 767–776. 41 indexed citations
7.
Kopesky, Paul W., et al.. (2013). Dexamethasone can rescue cytokine-induced chondrocyte apoptosis in bovine and human cartilage. Osteoarthritis and Cartilage. 21. S40–S41. 2 indexed citations
8.
Kopesky, Paul W., Sangwon Byun, Eric J. Vanderploeg, et al.. (2013). Sustained delivery of bioactive TGF‐β1 from self‐assembling peptide hydrogels induces chondrogenesis of encapsulated bone marrow stromal cells. Journal of Biomedical Materials Research Part A. 102(5). 1275–1285. 37 indexed citations
9.
Miller, Rachel E., Paul W. Kopesky, & Alan J. Grodzinsky. (2011). Growth Factor Delivery Through Self-assembling Peptide Scaffolds. Clinical Orthopaedics and Related Research. 469(10). 2716–2724. 27 indexed citations
10.
Plaas, Anna, John D. Sandy, Haowen Liu, et al.. (2011). Biochemical identification and immunolocalizaton of aggrecan, ADAMTS5 and inter‐alpha‐trypsin–inhibitor in equine degenerative suspensory ligament desmitis. Journal of Orthopaedic Research®. 29(6). 900–906. 46 indexed citations
11.
Kopesky, Paul W., Eric J. Vanderploeg, John D. Kisiday, et al.. (2010). Controlled Delivery of Transforming Growth Factor β1 by Self-Assembling Peptide Hydrogels Induces Chondrogenesis of Bone Marrow Stromal Cells and Modulates Smad2/3 Signaling. Tissue Engineering Part A. 17(1-2). 83–92. 60 indexed citations
12.
Kisiday, John D., David D. Frisbie, Anna Plaas, et al.. (2010). Adult equine bone-marrow stromal cells produce a cartilage-like ECM superior to animal-matched adult chondrocytes. DSpace@MIT (Massachusetts Institute of Technology). 3 indexed citations
13.
Kopesky, Paul W., Eric J. Vanderploeg, John D. Kisiday, et al.. (2010). Adult equine bone marrow stromal cells produce a cartilage-like ECM mechanically superior to animal-matched adult chondrocytes. Matrix Biology. 29(5). 427–438. 49 indexed citations
14.
Kopesky, Paul W., Anna Plaas, John D. Sandy, et al.. (2010). Adult bone marrow stromal cell-based tissue-engineered aggrecan exhibits ultrastructure and nanomechanical properties superior to native cartilage. Osteoarthritis and Cartilage. 18(11). 1477–1486. 24 indexed citations
15.
Kopesky, Paul W., et al.. (2009). Self-Assembling Peptide Hydrogels Modulate In Vitro Chondrogenesis of Bovine Bone Marrow Stromal Cells. Tissue Engineering Part A. 16(2). 465–477. 69 indexed citations
16.
Vanderploeg, Eric J., Paul W. Kopesky, Sang Yo Byun, & Alan J. Grodzinsky. (2009). 480 ADSORBING TGF-β1 TO SELF-ASSEMBLING PEPTIDE SCAFFOLDS ENHANCES BMSC CHONDROGENESIS. Osteoarthritis and Cartilage. 17. S257–S258. 1 indexed citations
17.
Kisiday, John D., Paul W. Kopesky, Christopher H. Evans, et al.. (2007). Evaluation of adult equine bone marrow‐ and adipose‐derived progenitor cell chondrogenesis in hydrogel cultures. Journal of Orthopaedic Research®. 26(3). 322–331. 165 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Eric J. Vanderploeg Breakdown of academic impact, for papers by Katsura Sugawara Breakdown of academic impact, for papers by Han Na Yang Breakdown of academic impact, for papers by Nicole Georgi Breakdown of academic impact, for papers by Simone W. van der Veen Breakdown of academic impact, for papers by Evgeny Rossomacha Breakdown of academic impact, for papers by A.M. Freyria Breakdown of academic impact, for papers by Henning Madry Breakdown of academic impact, for papers by Andrea R. Tan Breakdown of academic impact, for papers by Yanbin Pi
Rankless by CCL
2026