David O’Connor

2.2k total citations · 1 hit paper
52 papers, 1.1k citations indexed

About

David O’Connor is a scholar working on Public Health, Environmental and Occupational Health, Hematology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, David O’Connor has authored 52 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Public Health, Environmental and Occupational Health, 16 papers in Hematology and 11 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in David O’Connor's work include Acute Lymphoblastic Leukemia research (18 papers), Childhood Cancer Survivors' Quality of Life (9 papers) and Acute Myeloid Leukemia Research (8 papers). David O’Connor is often cited by papers focused on Acute Lymphoblastic Leukemia research (18 papers), Childhood Cancer Survivors' Quality of Life (9 papers) and Acute Myeloid Leukemia Research (8 papers). David O’Connor collaborates with scholars based in United Kingdom, United States and Australia. David O’Connor's co-authors include David T. Teachey, Ajay Vora, A. W. Monster, Sujith Samarasinghe, Rachael Hough, Rachel Wade, Nick Goulden, Jessica Bate, Rachel Clack and Jack Bartram and has published in prestigious journals such as Science, New England Journal of Medicine and Journal of Clinical Oncology.

In The Last Decade

David O’Connor

44 papers receiving 1.1k citations

Hit Papers

Base-Edited CAR7 T Cells for Relapsed T-Cell Acute Lympho... 2023 2026 2024 2025 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David O’Connor United Kingdom 15 392 360 292 274 233 52 1.1k
Britt Gustafsson Sweden 25 378 1.0× 426 1.2× 753 2.6× 250 0.9× 364 1.6× 81 2.1k
Álvaro Lassaletta Spain 26 266 0.7× 504 1.4× 306 1.0× 369 1.3× 442 1.9× 109 1.9k
Jung Woo Han South Korea 19 135 0.3× 359 1.0× 46 0.2× 194 0.7× 199 0.9× 110 1.2k
Jerry P. Lewis United States 20 112 0.3× 343 1.0× 384 1.3× 49 0.2× 247 1.1× 61 1.5k
Helen Foster United Kingdom 21 92 0.2× 45 0.1× 427 1.5× 88 0.3× 532 2.3× 54 1.2k
Stephen Larsen Australia 17 85 0.2× 221 0.6× 225 0.8× 92 0.3× 163 0.7× 61 754
Leslie Schrieber Australia 22 171 0.4× 81 0.2× 143 0.5× 78 0.3× 264 1.1× 75 1.5k
Jacqueline W. Mays United States 19 78 0.2× 83 0.2× 286 1.0× 54 0.2× 99 0.4× 51 972
Luíz César Peres Brazil 12 71 0.2× 119 0.3× 32 0.1× 90 0.3× 208 0.9× 54 916
Samuel G. McClugage United States 15 141 0.4× 47 0.1× 34 0.1× 62 0.2× 164 0.7× 38 795

Countries citing papers authored by David O’Connor

Since Specialization
Citations

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

Fields of papers citing papers by David O’Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David O’Connor. 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 David O’Connor. The network helps show where David O’Connor may publish in the future.

Co-authorship network of co-authors of David O’Connor

This figure shows the co-authorship network connecting the top 25 collaborators of David O’Connor. A scholar is included among the top collaborators of David O’Connor 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 David O’Connor. David O’Connor 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.
Chiesa, Robert, Christos Georgiadis, Hani Rashed, et al.. (2025). Universal Base-Edited CAR7 T Cells for T-Cell Acute Lymphoblastic Leukemia. New England Journal of Medicine. 394(2). 152–165.
2.
Amaral, Patrícia, David Gresham, Jonathan Bond, et al.. (2025). Underlying biology, challenges and emergent concepts in the treatment of relapsed and refractory pediatric T-cell acute lymphoblastic leukemia. Leukemia. 39(11). 2575–2589.
3.
O’Connor, David, Jose Espejo Valle-Inclán, Lucía Conde, et al.. (2024). Noncoding mutations drive persistence of a founder preleukemic clone which initiates late relapse in T-ALL. Blood. 143(10). 933–937. 4 indexed citations
4.
Wilson, Abbie, Ahmed Moussa, Amélie Trinquand, et al.. (2024). Real‐world use of venetoclax in the treatment of paediatric and teenage/young adult haematological malignancies. British Journal of Haematology. 205(6). 2355–2362.
5.
O’Connor, David, Jonas Demeulemeester, Lucía Conde, et al.. (2023). The Clinicogenomic Landscape of Induction Failure in Childhood and Young Adult T-Cell Acute Lymphoblastic Leukemia. Journal of Clinical Oncology. 41(19). 3545–3556. 12 indexed citations
6.
O’Connor, David, Melvin Joy, Amir Enshaei, et al.. (2023). Cranial radiotherapy has minimal benefit in children with central nervous system involvement in T-ALL. Blood Advances. 7(23). 7231–7234. 4 indexed citations
7.
Cao, Lifen, et al.. (2020). Arterial Thrombosis in an Ambulatory COVID-19 Patient in Recovery. Zenodo (CERN European Organization for Nuclear Research). 5(5). 3 indexed citations
8.
O’Connor, David, Amir Enshaei, Jack Bartram, et al.. (2017). Genotype-Specific Minimal Residual Disease Interpretation Improves Stratification in Pediatric Acute Lymphoblastic Leukemia. Journal of Clinical Oncology. 36(1). 34–43. 99 indexed citations
10.
O’Connor, David, et al.. (2015). Squamous cell carcinoma of the nail bed. BMJ. 351. h4640–h4640. 4 indexed citations
11.
Roberts, Irene, David O’Connor, Anindita Roy, Gillian Cowan, & Paresh Vyas. (2013). The impact of trisomy 21 on foetal haematopoiesis. Blood Cells Molecules and Diseases. 51(4). 277–281. 16 indexed citations
12.
Cline, Eric H. & David O’Connor. (2012). Ramesses III. University of Michigan Press eBooks. 3 indexed citations
13.
Kazakos, Konstantinos, George S. Georgiadis, Robert Middleton, et al.. (2011). Does a Single Application of PRP Alter the Expression of IGF-I in the Early Phase of Tendon Healing?. The Journal of Foot & Ankle Surgery. 50(3). 276–282. 38 indexed citations
14.
O’Connor, David, et al.. (2009). PP90. Incidence and Charateristics of Venous Thromboembolic Disease During Pregnancy: A Contemporary Series. Journal of Vascular Surgery. 49(5). S41–S41. 2 indexed citations
15.
O’Connor, David, et al.. (2009). Optimization and validation of radionuclide angiography phase analysis parameters for quantification of mechanical dyssynchrony. Journal of Nuclear Cardiology. 16(6). 895–903. 13 indexed citations
16.
McDonagh, J. E. R., et al.. (2006). Unmet education and training needs in adolescent health of health professionals in a UK children's hospital. Acta Paediatrica. 95(6). 715–719. 50 indexed citations
17.
McDonagh, J. E. R., et al.. (2006). Unmet education and training needs in adolescent health of health professionals in a UK children's hospital. Acta Paediatrica. 95(6). 715–719. 13 indexed citations
19.
O’Connor, David, et al.. (1979). The Past: Introduction. Expedition: The magazine of the University of Pennsylvania. 21(2). 4–8. 1 indexed citations
20.
O’Connor, David, et al.. (1979). The egyptian collection. Expedition: The magazine of the University of Pennsylvania. 21(2). 33–43.

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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