Kevin P. Robb

504 total citations · 1 hit paper
10 papers, 358 citations indexed

About

Kevin P. Robb is a scholar working on Genetics, Rheumatology and Surgery. According to data from OpenAlex, Kevin P. Robb has authored 10 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 4 papers in Rheumatology and 3 papers in Surgery. Recurrent topics in Kevin P. Robb's work include Mesenchymal stem cell research (7 papers), Osteoarthritis Treatment and Mechanisms (4 papers) and Periodontal Regeneration and Treatments (3 papers). Kevin P. Robb is often cited by papers focused on Mesenchymal stem cell research (7 papers), Osteoarthritis Treatment and Mechanisms (4 papers) and Periodontal Regeneration and Treatments (3 papers). Kevin P. Robb collaborates with scholars based in Canada, Switzerland and Ireland. Kevin P. Robb's co-authors include Sowmya Viswanathan, Joan Fitzgerald, Frank Barry, Lauren E. Flynn, Charles H. Graham, Tiziana Cotechini, Rajiv Gandhi, Julie Audet, Iván Martín and M. Schuster and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Kevin P. Robb

10 papers receiving 354 citations

Hit Papers

Culture-expanded mesenchymal stromal cell therapy: does i... 2023 2026 2024 2025 2023 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin P. Robb Canada 8 150 131 112 81 61 10 358
Manijeh Khanmohammadi Iran 13 193 1.3× 181 1.4× 112 1.0× 115 1.4× 71 1.2× 24 495
Darina Bačenková Slovakia 8 175 1.2× 99 0.8× 98 0.9× 36 0.4× 43 0.7× 20 328
Sayeh Khanjani Iran 13 183 1.2× 185 1.4× 76 0.7× 124 1.5× 35 0.6× 17 428
Kuixing Wang China 8 218 1.5× 125 1.0× 251 2.2× 58 0.7× 36 0.6× 9 547
Pablo Aranda Spain 8 229 1.5× 217 1.7× 184 1.6× 98 1.2× 24 0.4× 11 495
Peter Nimiritsky Russia 11 155 1.0× 124 0.9× 117 1.0× 58 0.7× 13 0.2× 15 381
Pablo Bora Czechia 7 225 1.5× 160 1.2× 131 1.2× 46 0.6× 60 1.0× 7 456
Dariusz Boruczkowski Poland 11 176 1.2× 126 1.0× 184 1.6× 72 0.9× 25 0.4× 37 452
Yu‐Hsun Chang Taiwan 13 164 1.1× 83 0.6× 157 1.4× 28 0.3× 135 2.2× 36 462
Hugo Drago Argentina 9 284 1.9× 145 1.1× 124 1.1× 59 0.7× 17 0.3× 10 495

Countries citing papers authored by Kevin P. Robb

Since Specialization
Citations

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

Fields of papers citing papers by Kevin P. Robb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin P. Robb. 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 Kevin P. Robb. The network helps show where Kevin P. Robb may publish in the future.

Co-authorship network of co-authors of Kevin P. Robb

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

All Works

10 of 10 papers shown
2.
Robb, Kevin P., et al.. (2023). Culture-expanded mesenchymal stromal cell therapy: does it work in knee osteoarthritis? A pathway to clinical success. Cellular and Molecular Immunology. 20(6). 626–650. 67 indexed citations breakdown →
3.
Robb, Kevin P., Julie Audet, Rajiv Gandhi, & Sowmya Viswanathan. (2022). Putative critical quality attribute matrix identifies mesenchymal stromal cells with potent immunomodulatory and angiogenic “fitness” ranges in response to culture process parameters. Frontiers in Immunology. 13. 972095–972095. 17 indexed citations
4.
Robb, Kevin P., et al.. (2021). Desirability profiling to rank mesenchymal stromal cell enhancement methods for osteoarthritis treatment. Osteoarthritis and Cartilage. 29. S209–S209. 1 indexed citations
5.
Robb, Kevin P., et al.. (2020). Adipose Stromal Cells Enhance Decellularized Adipose Tissue Remodeling Through Multimodal Mechanisms. Tissue Engineering Part A. 27(9-10). 618–630. 15 indexed citations
6.
Robb, Kevin P., A. Gómez-Aristizábal, Rajiv Gandhi, & Sowmya Viswanathan. (2019). A culture engineering strategy to enhance mesenchymal stromal cells for treatment of osteoarthritis. Osteoarthritis and Cartilage. 27. S427–S427. 3 indexed citations
7.
Robb, Kevin P., Joan Fitzgerald, Frank Barry, & Sowmya Viswanathan. (2018). Mesenchymal stromal cell therapy: progress in manufacturing and assessments of potency. Cytotherapy. 21(3). 289–306. 113 indexed citations
8.
Barr, Kevin, John J. Kelly, Danielle Johnston, et al.. (2018). Pannexin 1 regulates adipose stromal cell differentiation and fat accumulation. Scientific Reports. 8(1). 16166–16166. 22 indexed citations
9.
Robb, Kevin P., et al.. (2017). Inflammation-induced fetal growth restriction in rats is associated with increased placental HIF-1α accumulation. PLoS ONE. 12(4). e0175805–e0175805. 37 indexed citations
10.
Robb, Kevin P., et al.. (2017). Decellularized Matrices As Cell-Instructive Scaffolds to Guide Tissue-Specific Regeneration. ACS Biomaterials Science & Engineering. 4(11). 3627–3643. 66 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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