Mark J. O’Connor

1.7k total citations
35 papers, 825 citations indexed

About

Mark J. O’Connor is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mark J. O’Connor has authored 35 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 11 papers in Molecular Biology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mark J. O’Connor's work include PARP inhibition in cancer therapy (10 papers), DNA Repair Mechanisms (4 papers) and CRISPR and Genetic Engineering (4 papers). Mark J. O’Connor is often cited by papers focused on PARP inhibition in cancer therapy (10 papers), DNA Repair Mechanisms (4 papers) and CRISPR and Genetic Engineering (4 papers). Mark J. O’Connor collaborates with scholars based in United Kingdom, United States and Canada. Mark J. O’Connor's co-authors include Darren Hodgson, Woo Ho Kim, Xiaolu Yin, Yung‐Jue Bang, David B. Mount, Hyon K. Choi, Chio Yokose, Natalie McCormick, Tony R. Merriman and Jacqui Rowbottom and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Mark J. O’Connor

33 papers receiving 803 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark J. O’Connor United Kingdom 14 300 231 143 113 102 35 825
Amandeep Kaur India 16 508 1.7× 247 1.1× 112 0.8× 164 1.5× 52 0.5× 56 1.2k
Cheng-Chun Lee Taiwan 23 175 0.6× 308 1.3× 146 1.0× 124 1.1× 112 1.1× 53 1.2k
Ho‐Cheol Kang South Korea 21 223 0.7× 174 0.8× 98 0.7× 332 2.9× 63 0.6× 129 1.3k
Andy Lee United States 11 138 0.5× 205 0.9× 81 0.6× 138 1.2× 31 0.3× 29 771
A.D. Rao United States 15 121 0.4× 168 0.7× 43 0.3× 235 2.1× 108 1.1× 30 848
Y. Li China 16 328 1.1× 104 0.5× 112 0.8× 357 3.2× 41 0.4× 47 903
Jia‐Shu Chen United States 18 70 0.2× 223 1.0× 61 0.4× 110 1.0× 65 0.6× 72 840
James X. Wu United States 18 153 0.5× 88 0.4× 73 0.5× 428 3.8× 38 0.4× 75 899
Naoki Kojima Japan 14 136 0.5× 135 0.6× 147 1.0× 220 1.9× 29 0.3× 70 714

Countries citing papers authored by Mark J. O’Connor

Since Specialization
Citations

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

Fields of papers citing papers by Mark J. O’Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark J. O’Connor

This figure shows the co-authorship network connecting the top 25 collaborators of Mark J. O’Connor. A scholar is included among the top collaborators of Mark J. 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 Mark J. O’Connor. Mark J. 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.
O’Connor, Mark J., Andy Simoneau, & Rickey Dubay. (2025). Model Predictive Control of Tethered Underwater Sensor Payload. 1–5.
2.
Glaviano, Antonino, Samarendra Kumar Singh, Elena Okina, et al.. (2024). Cell cycle dysregulation in cancer. Pharmacological Reviews. 77(2). 100030–100030. 15 indexed citations
3.
O’Connor, Mark J., et al.. (2023). A Pilot Trial of Continuous Glucose Monitoring Upon Emergency Department Discharge Among People With Diabetes Mellitus. Endocrine Practice. 30(2). 122–127. 4 indexed citations
4.
Petreuş, Tudor, Elaine Cadogan, Gareth Hughes, et al.. (2021). Tumour-on-chip microfluidic platform for assessment of drug pharmacokinetics and treatment response. Communications Biology. 4(1). 1001–1001. 40 indexed citations
5.
6.
O’Connor, Mark J., et al.. (2019). Klinefelter Syndrome and Diabetes. Current Diabetes Reports. 19(9). 71–71. 18 indexed citations
7.
O’Connor, Mark J., et al.. (2018). Things We Do For No Reason: Sliding‐Scale Insulin as Monotherapy for Glycemic Control in Hospitalized Patients. Journal of Hospital Medicine. 14(2). 114–116. 12 indexed citations
8.
Cadogan, Elaine, Jennifer I. Hare, Adina Hughes, et al.. (2018). Abstract 4302: Analysis of the dose and schedule dependence of tumor kill in nonclinical tumour models after treatment with the WEE1 inhibitor AZD1775. Cancer Research. 78(13_Supplement). 4302–4302. 1 indexed citations
9.
O’Connor, Mark J., et al.. (2017). Resolution of cannabis hyperemesis syndrome with topical capsaicin in the emergency department: a case series. Clinical Toxicology. 55(8). 908–913. 59 indexed citations
10.
Borst, Gerben R., Ramya Kumareswaran, Hatice Yücel, et al.. (2017). Neoadjuvant olaparib targets hypoxia to improve radioresponse in a homologous recombination-proficient breast cancer model. Oncotarget. 8(50). 87638–87646. 12 indexed citations
11.
Yates, James, Zena Wilson, Lucy A. Young, et al.. (2017). Abstract 2494: ATR inhibitor AZD6738 as monotherapy and in combination with olaparib or chemotherapy: defining pre-clinical dose-schedules and efficacy modelling. Cancer Research. 77(13_Supplement). 2494–2494. 2 indexed citations
12.
13.
Dearden, Simon, Chris Harbron, Darren Hodgson, et al.. (2013). Validation of the BRCA1 antibody MS110 and the utility of BRCA1 as a patient selection biomarker in immunohistochemical analysis of breast and ovarian tumours. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 462(3). 269–279. 20 indexed citations
14.
Kim, Hee Sung, Sunghoon Kim, Darren Hodgson, et al.. (2013). Concordance of ATM (Ataxia Telangiectasia Mutated) Immunohistochemistry between Biopsy or Metastatic Tumor Samples and Primary Tumors in Gastric Cancer Patients. Pathobiology. 80(3). 127–137. 48 indexed citations
15.
O’Connor, Mark J., et al.. (2012). The Evolution of Lazy-S Flexible Riser Configuration Design for Harsh Environments. 313–319. 3 indexed citations
16.
O’Connor, Mark J., Anja E. Hauser, Ann M. Haberman, & Steven H. Kleinstein. (2011). Activated germinal centre B cells undergo directed migration. International Journal of Data Mining and Bioinformatics. 5(3). 321–321. 4 indexed citations
17.
Kleiboer, Annet, Christian Holm Hansen, Carina Hibberd, et al.. (2010). Monitoring symptoms at home: what methods would cancer patients be comfortable using?. Quality of Life Research. 19(7). 965–968. 13 indexed citations
18.
O’Connor, Mark J., Jonathan M. Harris, Andrew M. McIntosh, et al.. (2009). Specific cognitive deficits in a group at genetic high risk of schizophrenia. Psychological Medicine. 39(10). 1649–1655. 27 indexed citations
19.
O’Connor, Mark J., et al.. (2003). Assumptions and beliefs, dieting, and predictors of eating disorder-related symptoms in young women and young men. Eating Behaviors. 4(1). 1–6. 10 indexed citations
20.
O’Connor, Mark J., et al.. (1988). AN INVESTIGATION INTO INFORMATION PROVIDED FOR PATIENTS ON HOME PARENTERAL NUTRITION. Journal of Clinical Pharmacy and Therapeutics. 13(6). 403–409. 2 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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