Mark J. O’Connor

1.7k citations
35 papers · 825 · h-index 14

Impact in

  • Nephrology top 5%
    • Gout, Hyperuricemia, Uric Acid
  • Oncology top 10%
    • PARP inhibition in cancer therapy

Papers in

Mark J. O’Connor

33 papers receiving 803 citations

Peers

Mark J. O’Connor
Comparison fields: 5 of 99
  • Nephrology 92
  • Oncology 300
  • Anesthesiology and Pain Medicine 35
  • Gastroenterology 33
  • Pathology and Forensic Medicine 102
Replace Amandeep Kaur with:
Amandeep Kaur India
Ho‐Cheol Kang South Korea
James Lee United States
Kristian Vinter Juul Denmark
Yuan Yang China
Woubet Tefera Kassahun Germany
James X. Wu United States
Francesco Marchi Italy
Nilgün Güvener Demirağ Türkiye
Mark J. O’Connor relative to Amandeep Kaur India Amandeep Kaur's profile →
Citations per field
00.5×4.2×
Amandeep Kaur · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Mark J. O’Connor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark J. O’Connor Line = papers co-authored together Mark J. O’Connor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015219
2 2021102
3 201479
4 201759
5 201348
6 202140
7 201136
8 200927
9 202022
10 201320
11 201918
12 202415
13 201815
14 202014
15 201013
16 201812
17 201712
18 202112
19 200310
20 20168

About Mark J. O’Connor

Mark J. O’Connor is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Genetics and Endocrinology, Diabetes and Metabolism, having authored 35 papers that have together received 825 indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (10 papers), CRISPR and Genetic Engineering (4 papers), DNA Repair Mechanisms (4 papers), Diabetes Management and Research (3 papers), Genetic Associations and Epidemiology (3 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (3 papers), Advanced Breast Cancer Therapies (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Nephrology (92 citations), Oncology (300 citations), Anesthesiology and Pain Medicine (35 citations), Gastroenterology (33 citations) and Pathology and Forensic Medicine (102 citations). Mark J. O’Connor has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Darren Hodgson, Woo Ho Kim, Yung‐Jue Bang, Xiaolu Yin, David B. Mount, Natalie McCormick, Chio Yokose, Hyon K. Choi, Tony R. Merriman and Y. Choi. Their work appears in journals such as Cancer Research, Prehospital Emergency Care, Journal of Clinical Oncology, Arthritis & Rheumatology and British Journal of Cancer.

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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