Nina O’Connor

55 papers receiving 1.4k citations

Peers

Nina O’Connor
Comparison fields: 5 of 123
  • Health Informatics 123
  • Public Health, Environmental and Occupational Health 813
  • Geriatrics and Gerontology 104
  • Nephrology 180
  • Radiological and Ultrasound Technology 109
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Emily M. Bucholz United States
Gordon Tait Canada
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Citations per year

Countries citing papers authored by Nina O’Connor

Since Specialization
Citations

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

Fields of papers citing papers by Nina O’Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nina 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 Nina O’Connor Line = papers co-authored together Nina 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 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019160
2 2012158
3 2020116
4 200979
5 202076
6 201572
7 202362
8 201461
9
End-stage renal disease: symptom management and advance care planning.
201254
10 201951
11 201949
12 200541
13 201336
14 202226
15 200625
16 200524
17
Newborn skin: Part I. Common rashes.
200824
18 202023
19 201622
20 201721

About Nina O’Connor

Nina O’Connor is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Oncology, General Health Professions and Radiological and Ultrasound Technology, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include Palliative Care and End-of-Life Issues (37 papers), Childhood Cancer Survivors' Quality of Life (14 papers), Cancer survivorship and care (13 papers), Patient Dignity and Privacy (8 papers), Family and Patient Care in Intensive Care Units (7 papers), Patient-Provider Communication in Healthcare (7 papers), Grief, Bereavement, and Mental Health (4 papers) and Geriatric Care and Nursing Homes (4 papers). The work is most often cited by research in Health Informatics (123 citations), Public Health, Environmental and Occupational Health (813 citations), Geriatrics and Gerontology (104 citations), Nephrology (180 citations) and Radiological and Ultrasound Technology (109 citations). Nina O’Connor has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include David Casarett, Susan Harkness Regli, Corey Chivers, Mitesh S. Patel, Ravi B. Parikh, Christopher R. Manz, Lynn M. Schuchter, Lawrence N. Shulman, Peter O’Connor and Michael Draugelis. Their work appears in journals such as Journal of Palliative Medicine, Journal of Pain and Symptom Management, Journal of Clinical Oncology, JAMA Oncology and BMJ Supportive & Palliative Care.

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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