Aideen E. Ryan

4.5k total citations · 1 hit paper
66 papers, 3.2k citations indexed

About

Aideen E. Ryan is a scholar working on Genetics, Molecular Biology and Immunology. According to data from OpenAlex, Aideen E. Ryan has authored 66 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Genetics, 28 papers in Molecular Biology and 19 papers in Immunology. Recurrent topics in Aideen E. Ryan's work include Mesenchymal stem cell research (28 papers), Extracellular vesicles in disease (11 papers) and Cancer Cells and Metastasis (8 papers). Aideen E. Ryan is often cited by papers focused on Mesenchymal stem cell research (28 papers), Extracellular vesicles in disease (11 papers) and Cancer Cells and Metastasis (8 papers). Aideen E. Ryan collaborates with scholars based in Ireland, United Kingdom and United States. Aideen E. Ryan's co-authors include Thomas Ritter, Matthew D. Griffin, Sweta Rani, Oliver Treacy, Paul Lohan, Frank Barry, Jack A. Harris, Aileen Houston, Mary Murphy and Joana Cabral and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Aideen E. Ryan

64 papers receiving 3.2k citations

Hit Papers

Mesenchymal Stem Cell-derived Extracellular Vesicles: Tow... 2015 2026 2018 2022 2015 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aideen E. Ryan Ireland 29 1.5k 1.2k 647 637 534 66 3.2k
Noemí Eiró Spain 30 1.2k 0.8× 1.1k 0.9× 825 1.3× 673 1.1× 541 1.0× 83 3.4k
Mehdi Najar Belgium 31 1.1k 0.7× 2.0k 1.7× 514 0.8× 876 1.4× 554 1.0× 99 3.2k
Qunzhou Zhang United States 36 1.6k 1.0× 1.2k 1.0× 832 1.3× 649 1.0× 397 0.7× 52 4.2k
Georges Uzan France 36 2.6k 1.7× 856 0.7× 539 0.8× 670 1.1× 801 1.5× 134 5.0k
Xiaoting Liang China 29 1.8k 1.2× 1.4k 1.2× 700 1.1× 929 1.5× 306 0.6× 79 3.6k
Peishun Shou China 23 1.5k 1.0× 1.4k 1.2× 495 0.8× 566 0.9× 873 1.6× 29 4.0k
Eva Rohde Austria 28 1.9k 1.3× 1.4k 1.2× 837 1.3× 813 1.3× 260 0.5× 69 3.4k
Jochen W.U. Fries Germany 27 1.6k 1.1× 597 0.5× 670 1.0× 785 1.2× 438 0.8× 81 3.7k
Osamu Ohneda Japan 39 2.8k 1.9× 994 0.8× 1.1k 1.7× 500 0.8× 701 1.3× 92 4.9k
Seunghee Lee South Korea 23 1.5k 1.0× 731 0.6× 598 0.9× 391 0.6× 427 0.8× 41 2.6k

Countries citing papers authored by Aideen E. Ryan

Since Specialization
Citations

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

Fields of papers citing papers by Aideen E. Ryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aideen E. Ryan. 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 Aideen E. Ryan. The network helps show where Aideen E. Ryan may publish in the future.

Co-authorship network of co-authors of Aideen E. Ryan

This figure shows the co-authorship network connecting the top 25 collaborators of Aideen E. Ryan. A scholar is included among the top collaborators of Aideen E. Ryan 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 Aideen E. Ryan. Aideen E. Ryan 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.
Wang, Jiemin, et al.. (2025). Comparison of in-vitro immunomodulatory capacity between large and small apoptotic bodies from human bone marrow mesenchymal stromal cells. International Immunopharmacology. 153. 114480–114480. 1 indexed citations
2.
Wang, Jiemin, et al.. (2025). In-vitro immunomodulatory efficacy of extracellular vesicles derived from TGF-β1/IFN-γ dual licensed human bone marrow mesenchymal stromal cells. Stem Cell Research & Therapy. 16(1). 357–357. 3 indexed citations
3.
Katzberg, Hans, Vera Bril, Warren Mason, et al.. (2024). Myasthenia Gravis in Patients Treated With Immune Checkpoint Inhibitors. JTO Clinical and Research Reports. 6(5). 100772–100772.
4.
O’Dwyer, Michael, et al.. (2024). Hypersialylation and multiple myeloma. SHILAP Revista de lepidopterología. 3. 2 indexed citations
5.
Lozano‐Pérez, Antonio Abel, et al.. (2024). Auranofin loaded silk fibroin nanoparticles for colorectal cancer treatment. Drug Delivery and Translational Research. 15(6). 1994–2008. 3 indexed citations
6.
Leonard, Niamh, et al.. (2023). 1493 Developing a 3D multicellular model to investigate stromal and immune interactions in colorectal cancer tumour microenvironment. SHILAP Revista de lepidopterología. A1657–A1657. 1 indexed citations
7.
Wang, Jiemin, et al.. (2023). Immunomodulatory function of licensed human bone marrow mesenchymal stromal cell-derived apoptotic bodies. International Immunopharmacology. 125(Pt A). 111096–111096. 10 indexed citations
8.
Swan, Dawn, Robert B. Henderson, John Quinn, et al.. (2022). CyBorD-DARA in Newly Diagnosed Transplant-Eligible Multiple Myeloma: Results from the 16-BCNI-001/CTRIAL-IE 16-02 Study Show High Rates of MRD Negativity at End of Treatment. Clinical Lymphoma Myeloma & Leukemia. 22(11). 847–852. 1 indexed citations
9.
10.
O’Malley, Grace, Oliver Treacy, Kevin Lynch, et al.. (2018). Stromal Cell PD-L1 Inhibits CD8+ T-cell Antitumor Immune Responses and Promotes Colon Cancer. Cancer Immunology Research. 6(11). 1426–1441. 68 indexed citations
11.
Ryan, Aideen E., et al.. (2018). Mesenchymal stem cell therapy for osteoarthritis: how apoptotic cells modulate inflammation. Osteoarthritis and Cartilage. 26. S297–S297. 3 indexed citations
13.
Ranera, B., Douglas F. Antczak, Donald R. Miller, et al.. (2015). Donor‐derived equine mesenchymal stem cells suppress proliferation of mismatched lymphocytes. Equine Veterinary Journal. 48(2). 253–260. 31 indexed citations
14.
Lohan, Paul, Oliver Treacy, Kevin Lynch, et al.. (2015). Culture expanded primary chondrocytes have potent immunomodulatory properties and do not induce an allogeneic immune response. Osteoarthritis and Cartilage. 24(3). 521–533. 26 indexed citations
15.
Lohan, Paul, Cynthia M. Coleman, Mary Murphy, et al.. (2014). Changes in immunological profile of allogeneic mesenchymal stem cells after differentiation: should we be concerned?. Stem Cell Research & Therapy. 5(4). 99–99. 60 indexed citations
16.
Fahy, Niamh, Eric Farrell, Thomas Ritter, Aideen E. Ryan, & Mary Murphy. (2014). Immune Modulation to Improve Tissue Engineering Outcomes for Cartilage Repair in the Osteoarthritic Joint. Tissue Engineering Part B Reviews. 21(1). 55–66. 49 indexed citations
17.
Ryan, Aideen E., et al.. (2011). Autophagosomal IκBα Degradation Plays a Role in the Long Term Control of Tumor Necrosis Factor-α-induced Nuclear Factor-κB (NF-κB) Activity. Journal of Biological Chemistry. 286(26). 22886–22893. 53 indexed citations
18.
Curley, Gerard F., Mairéad Hayes, Bilal Ansari, et al.. (2011). Mesenchymal stem cells enhance recovery and repair following ventilator-induced lung injury in the rat. Thorax. 67(6). 496–501. 209 indexed citations
19.
Ryan, Aideen E., Fergus Shanahan, Joe O’Connell, & Aileen Houston. (2006). Fas Ligand Promotes Tumor Immune Evasion of Colon Cancer In Vivo. Cell Cycle. 5(3). 246–249. 31 indexed citations
20.
Ryan, Aideen E., et al.. (2006). Fas ligand expression in human and mouse cancer cell lines; a caveat on over-reliance on mRNA data.. Journal of Carcinogenesis. 5(1). 5–5. 17 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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