Daniel O’Connor

3.4k total citations · 2 hit papers
15 papers, 2.8k citations indexed

About

Daniel O’Connor is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniel O’Connor has authored 15 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Oncology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniel O’Connor's work include Cell death mechanisms and regulation (5 papers), Microtubule and mitosis dynamics (3 papers) and Cancer-related Molecular Pathways (3 papers). Daniel O’Connor is often cited by papers focused on Cell death mechanisms and regulation (5 papers), Microtubule and mitosis dynamics (3 papers) and Cancer-related Molecular Pathways (3 papers). Daniel O’Connor collaborates with scholars based in United States, United Kingdom and Italy. Daniel O’Connor's co-authors include Dario C. Altieri, Fengzhi Li, Nathan R. Wall, Janet Plescia, William C. Sessa, Pier Carlo Marchisio, Simona Tognin, Keyvan Mahboubi, Andreas Papapetropoulos and David Fulton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

Daniel O’Connor

15 papers receiving 2.8k citations

Hit Papers

Regulation of apoptosis at cell division by p34 cdc2 phos... 2000 2026 2008 2017 2000 2000 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel O’Connor United States 10 1.9k 996 394 356 304 15 2.8k
Mhairi Copland United Kingdom 35 1.5k 0.8× 681 0.7× 115 0.3× 358 1.0× 274 0.9× 131 4.3k
Bruce A. Hug United States 23 1.6k 0.8× 433 0.4× 166 0.4× 590 1.7× 291 1.0× 47 3.6k
Adam Lerner United States 34 1.7k 0.9× 633 0.6× 183 0.5× 964 2.7× 141 0.5× 120 3.7k
Julie A. Vrana United States 34 2.6k 1.3× 744 0.7× 301 0.8× 395 1.1× 115 0.4× 69 3.6k
Kylie D. Mason Australia 18 2.4k 1.3× 809 0.8× 147 0.4× 948 2.7× 247 0.8× 58 4.0k
Patricia B. Maguire Ireland 23 1.0k 0.5× 310 0.3× 117 0.3× 326 0.9× 339 1.1× 85 2.6k
Myoung Ja Chung South Korea 31 1.3k 0.7× 927 0.9× 234 0.6× 405 1.1× 480 1.6× 114 3.1k
Siok‐Bian Ng Singapore 29 1.7k 0.9× 1.1k 1.1× 70 0.2× 678 1.9× 345 1.1× 101 3.8k
Giacomo DellʼAntonio Italy 21 1.3k 0.7× 434 0.4× 214 0.5× 777 2.2× 369 1.2× 60 3.1k

Countries citing papers authored by Daniel O’Connor

Since Specialization
Citations

This map shows the geographic impact of Daniel 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 Daniel 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 Daniel O’Connor more than expected).

Fields of papers citing papers by Daniel O’Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

15 of 15 papers shown
1.
Skidmore, Lillian, David Mills, Nick Knudsen, et al.. (2024). Preclinical Characterization of ARX517, a Site-Specific Stable PSMA-Targeted Antibody–Drug Conjugate for the Treatment of Metastatic Castration-Resistant Prostate Cancer. Molecular Cancer Therapeutics. 23(12). 1842–1853. 6 indexed citations
2.
Anstey, D. Edmund, Raymond C. Givens, Kevin J. Clerkin, et al.. (2020). The cardiac intensive care unit and the cardiac intensivist during the COVID-19 surge in New York City. American Heart Journal. 227. 74–81. 11 indexed citations
3.
Imam, Zaid, Fadi Odish, Inayat Gill, et al.. (2020). Older age and comorbidity are independent mortality predictors in a large cohort of 1305 COVID‐19 patients in Michigan, United States. Journal of Internal Medicine. 288(4). 469–476. 264 indexed citations
4.
Poterucha, Timothy J., Jonathan Kochav, Daniel O’Connor, & Gregg Rosner. (2019). Cardiac Tumors: Clinical Presentation, Diagnosis, and Management. Current Treatment Options in Oncology. 20(8). 66–66. 111 indexed citations
5.
Lewis, Matthew, et al.. (2014). Usefulness of Magnetic Resonance Imaging to Guide Referral for Pulmonary Valve Replacement in Repaired Tetralogy of Fallot. The American Journal of Cardiology. 114(9). 1406–1411. 6 indexed citations
6.
O’Connor, Daniel, Jonathan Ginns, Jan M. Quaegebeur, Emile Bacha, & Marlon Rosenbaum. (2013). RESECTION OF RIGHT VENTRICULAR OUTFLOW TRACT PATCH DURING PULMONARY VALVE REPLACEMENT IMPROVES RIGHT VENTRICULAR VOLUMES AND EJECTION FRACTION IN PATIENTS WITH TETRALOGY OF FALLOT. Journal of the American College of Cardiology. 61(10). E481–E481. 1 indexed citations
7.
Dail, Monique, Jason W.H. Wong, Jessica Lawrence, et al.. (2013). Preclinical Testing Of a PI3K Inhibitor In T Lineage Leukemia: Target Validation and Notch1/Myc Down-Regulation In Drug Resistant Clones. Blood. 122(21). 2677–2677. 1 indexed citations
8.
O’Connor, Daniel & Andrew J. Einstein. (2011). Cardiovascular Imaging. Journal of cardiovascular computed tomography. 5(4). 273–273. 2 indexed citations
9.
Wall, Nathan R., Daniel O’Connor, Janet Plescia, Yves Pommier, & Dario C. Altieri. (2003). Suppression of survivin phosphorylation on Thr34 by flavopiridol enhances tumor cell apoptosis.. PubMed. 63(1). 230–5. 225 indexed citations
10.
O’Connor, Daniel, Nathan R. Wall, Andrew C.G. Porter, & Dario C. Altieri. (2002). A p34cdc2 survival checkpoint in cancer. Cancer Cell. 2(1). 43–54. 265 indexed citations
11.
Fortugno, Paola, Nathan R. Wall, Alessandra Giodini, et al.. (2002). Survivin exists in immunochemically distinct subcellular pools and is involved in spindle microtubule function. Journal of Cell Science. 115(3). 575–585. 273 indexed citations
12.
Papapetropoulos, Andreas, David Fulton, Keyvan Mahboubi, et al.. (2000). Angiopoietin-1 Inhibits Endothelial Cell Apoptosis via the Akt/Survivin Pathway. Journal of Biological Chemistry. 275(13). 9102–9105. 542 indexed citations breakdown →
13.
Gratton, Jean‐Philippe, Jason Fontana, Daniel O’Connor, et al.. (2000). Reconstitution of an Endothelial Nitric-oxide Synthase (eNOS), hsp90, and Caveolin-1 Complex in Vitro. Journal of Biological Chemistry. 275(29). 22268–22272. 262 indexed citations
14.
O’Connor, Daniel, Jeffrey S. Schechner, Colette Adida, et al.. (2000). Control of Apoptosis during Angiogenesis by Survivin Expression in Endothelial Cells. American Journal Of Pathology. 156(2). 393–398. 298 indexed citations
15.
O’Connor, Daniel, Douglas Grossman, Janet Plescia, et al.. (2000). Regulation of apoptosis at cell division by p34 cdc2 phosphorylation of survivin. Proceedings of the National Academy of Sciences. 97(24). 13103–13107. 552 indexed citations breakdown →

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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