John O'shea

777 total citations
22 papers, 598 citations indexed

About

John O'shea is a scholar working on Immunology, Hematology and Molecular Biology. According to data from OpenAlex, John O'shea has authored 22 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 9 papers in Hematology and 8 papers in Molecular Biology. Recurrent topics in John O'shea's work include Hematopoietic Stem Cell Transplantation (7 papers), Immunodeficiency and Autoimmune Disorders (4 papers) and Immune Cell Function and Interaction (4 papers). John O'shea is often cited by papers focused on Hematopoietic Stem Cell Transplantation (7 papers), Immunodeficiency and Autoimmune Disorders (4 papers) and Immune Cell Function and Interaction (4 papers). John O'shea collaborates with scholars based in United States, United Kingdom and Australia. John O'shea's co-authors include Donald E. Ayer, Neil D. Perkins, Alana L. Welm, Mohan R. Kaadige, Blake R. Wilde, Liangliang Shen, Adam L. Cohen, Yike Jiang, Marc Elgort and Kirsteen J. Campbell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and PLoS ONE.

In The Last Decade

John O'shea

20 papers receiving 593 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John O'shea United States 11 367 251 145 123 95 22 598
Koichiro Ono Japan 6 385 1.0× 213 0.8× 268 1.8× 104 0.8× 42 0.4× 9 739
Sajjeev Jagannathan United States 11 525 1.4× 260 1.0× 105 0.7× 119 1.0× 100 1.1× 22 735
Paul N. Cheng Hong Kong 15 265 0.7× 242 1.0× 101 0.7× 116 0.9× 36 0.4× 25 688
Changyong Wei United States 12 477 1.3× 215 0.9× 68 0.5× 145 1.2× 134 1.4× 20 656
Valérie Palissot Luxembourg 14 398 1.1× 171 0.7× 73 0.5× 99 0.8× 61 0.6× 22 567
Sarah C. Nabinger United States 13 434 1.2× 116 0.5× 196 1.4× 138 1.1× 61 0.6× 23 637
Kandasamy Krishnaraju United States 8 352 1.0× 88 0.4× 182 1.3× 206 1.7× 106 1.1× 8 595
Luis A. Carvajal United States 10 550 1.5× 134 0.5× 120 0.8× 354 2.9× 92 1.0× 29 814
Zhanwen Du United States 13 712 1.9× 258 1.0× 87 0.6× 130 1.1× 29 0.3× 17 867
Suk Hyung Lee South Korea 13 263 0.7× 108 0.4× 270 1.9× 100 0.8× 45 0.5× 18 563

Countries citing papers authored by John O'shea

Since Specialization
Citations

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

Fields of papers citing papers by John O'shea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John O'shea. 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 John O'shea. The network helps show where John O'shea may publish in the future.

Co-authorship network of co-authors of John O'shea

This figure shows the co-authorship network connecting the top 25 collaborators of John O'shea. A scholar is included among the top collaborators of John O'shea 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 John O'shea. John O'shea 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.
O'shea, John, et al.. (2024). Sequencing Platforms. 7(1). 175–183.
2.
Lewis, Robert G., et al.. (2023). Rapid Whole Genome Sequencing in Critically Ill Newborns. 6(1). 175–186.
3.
Benton, Michael G., Wallace Akerley, George F. Mayhew, et al.. (2020). Structural variation and its potential impact on genome instability: Novel discoveries in the EGFR landscape by long-read sequencing. PLoS ONE. 15(1). e0226340–e0226340. 23 indexed citations
4.
Gupta, Sumati, Timothy J. Parnell, Andrew Butterfield, et al.. (2018). Histone Deacetylase Inhibition Has Targeted Clinical Benefit in ARID1A -Mutated Advanced Urothelial Carcinoma. Molecular Cancer Therapeutics. 18(1). 185–195. 17 indexed citations
5.
Hellwig, Sabine, David A. Nix, Keith M. Gligorich, et al.. (2018). Automated size selection for short cell-free DNA fragments enriches for circulating tumor DNA and improves error correction during next generation sequencing. PLoS ONE. 13(7). e0197333–e0197333. 45 indexed citations
6.
Shen, Liangliang, John O'shea, Mohan R. Kaadige, et al.. (2015). Metabolic reprogramming in triple-negative breast cancer through Myc suppression of TXNIP. Proceedings of the National Academy of Sciences. 112(17). 5425–5430. 179 indexed citations
7.
Zanin‐Zhorov, Alexandra, Ryan Flynn, Leo Luznik, et al.. (2014). A Selective and Potent Rock 2 Inhibitor (KD025) Decreases Human STAT3-Dependent IL-21 and IL-17 Production and Experimental Chronic Graft-Versus-Host Disease (cGVHD). Blood. 124(21). 540–540. 2 indexed citations
8.
O'shea, John & Donald E. Ayer. (2013). Coordination of Nutrient Availability and Utilization by MAX- and MLX-Centered Transcription Networks. Cold Spring Harbor Perspectives in Medicine. 3(9). a014258–a014258. 43 indexed citations
9.
Elgort, Marc, John O'shea, Yike Jiang, & Donald E. Ayer. (2010). Transcriptional and Translational Downregulation of Thioredoxin Interacting Protein Is Required for Metabolic Reprogramming during G1. Genes & Cancer. 1(9). 893–907. 58 indexed citations
10.
Kimura, Akiko, Michael A. Rieger, Weiping Chen, et al.. (2008). GM-CSF Controls Proliferation and Survival of the Granulocyte Lineage through the Transcription Factors STAT5A/B.. Blood. 112(11). 1272–1272. 2 indexed citations
11.
Trindade, Christopher, Jean‐Michel Héraud, Valentina Cecchinato, et al.. (2008). Preferential Loss of Th17 T‐cells at Mucosal Sites Predicts AIDS Progression in Simian Immunodeficiency Virus‐Infected Macaques. The FASEB Journal. 22(S1). 5 indexed citations
12.
O'shea, John & Neil D. Perkins. (2008). Regulation of the RelA (p65) transactivation domain. Biochemical Society Transactions. 36(4). 603–608. 63 indexed citations
13.
Campbell, Kirsteen J., John O'shea, & Neil D. Perkins. (2006). Differential regulation of NF-κB activation and function by topoisomerase II inhibitors. BMC Cancer. 6(1). 101–101. 33 indexed citations
14.
Corell, Alfredo, Ann‐Margaret Little, Cara Dunne, et al.. (2000). Reference strand mediated conformation analysis resolves HLA‐DRB1 typing ambiguities when matching for unrelated bone marrow transplantation. Tissue Antigens. 56(1). 82–86. 4 indexed citations
15.
O'shea, John, et al.. (1999). Searching for an unrelated haemopoietic stem cell donor--a United Kingdom perspective.. PubMed. 129–37. 2 indexed citations
17.
O'shea, John, J. Alejandro Madrigal, Nick J. Davey, et al.. (1997). MEASUREMENT OF CYTOTOXIC T LYMPHOCYTE PRECURSOR FREQUENCIES REVEALS CRYPTIC HLA CLASS I MISMATCHES IN THE CONTEXT OF UNRELATED DONOR BONE MARROW TRANSPLANTATION1. Transplantation. 64(9). 1353–1356. 10 indexed citations
18.
Avakian, H., et al.. (1994). Relevance of DNA heteroduplex crossmatching in the selection of bone marrow donors. Human Immunology. 40. 114–114. 1 indexed citations
19.
Raftery, Martin, John O'shea, Z. Varghese, et al.. (1988). Controlled Trial of Azathioprine and Cyclosporin to Prevent Anti-LHA Antibodies due to Third-party Transfusion. Nephrology Dialysis Transplantation. 3(5). 671–675. 5 indexed citations
20.
Madwar, M. A., et al.. (1978). Complement components and immunoglobulins in patients with schistosomiasis.. PubMed. 34(3). 354–8. 6 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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