Andrew O’Connor

912 citations
28 papers · 686 · h-index 10

Impact in

Papers in

    • Bacterial biofilms and quorum sensing 2
    • Dialysis and Renal Disease Management 4
    • Chronic Kidney Disease and Diabetes 2

Andrew O’Connor

26 papers receiving 663 citations

Peers

Andrew O’Connor
Comparison fields: 5 of 91
  • Nephrology 191
  • Reproductive Medicine 125
  • Cardiology and Cardiovascular Medicine 278
  • Endocrinology, Diabetes and Metabolism 121
  • Family Practice 13
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Yu‐Hung Chang Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Andrew O’Connor

Since Specialization
Citations

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

Fields of papers citing papers by Andrew O’Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Andrew 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 Andrew O’Connor Line = papers co-authored together Andrew 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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009302
2 201068
3 200551
4 201041
5 201739
6 201238
7 200536
8 200511
9 202210
10 201210
11 20039
12 20179
13 20029
14 20148
15 20187
16 20176
17
Improving the Accuracy of Kt/V Measurement: The Role of the Technician
20035
18 20105
19 20024
20 20044

About Andrew O’Connor

Andrew O’Connor is a scholar working on Molecular Biology, Nephrology, Cardiology and Cardiovascular Medicine, Surgery and Genetics, having authored 28 papers that have together received 686 indexed citations. Recurring topics across this work include Ovarian function and disorders (4 papers), Dialysis and Renal Disease Management (4 papers), Central Venous Catheters and Hemodialysis (3 papers), Cystic Fibrosis Research Advances (3 papers), Lipid metabolism and disorders (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Bacterial biofilms and quorum sensing (2 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). The work is most often cited by research in Nephrology (191 citations), Reproductive Medicine (125 citations), Cardiology and Cardiovascular Medicine (278 citations), Endocrinology, Diabetes and Metabolism (121 citations) and Family Practice (13 citations). Andrew O’Connor has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Jeffrey R. Schelling, Niall Phelan, James Gibney, Helen M. Roche, Gerard Boran, Tommy Kyaw Tun, Siobhán McClean, Kalyani Perumal, Virginia Ford and Amanda H. Anderson. Their work appears in journals such as American Journal of Kidney Diseases, The Journal of Clinical Endocrinology & Metabolism, ACS Sensors, Scientific Reports and Proceedings of The Nutrition Society.

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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