Anita O’Connor

827 total citations
22 papers, 610 citations indexed

About

Anita O’Connor is a scholar working on Genetics, Public Health, Environmental and Occupational Health and General Health Professions. According to data from OpenAlex, Anita O’Connor has authored 22 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 8 papers in Public Health, Environmental and Occupational Health and 6 papers in General Health Professions. Recurrent topics in Anita O’Connor's work include BRCA gene mutations in cancer (10 papers), Genomics and Rare Diseases (4 papers) and Biotechnology and Related Fields (4 papers). Anita O’Connor is often cited by papers focused on BRCA gene mutations in cancer (10 papers), Genomics and Rare Diseases (4 papers) and Biotechnology and Related Fields (4 papers). Anita O’Connor collaborates with scholars based in United Kingdom, Sweden and Netherlands. Anita O’Connor's co-authors include Heather Skirton, Leigh Jackson, Lesley Goldsmith, Ann Humphreys, Ruth Endacott, Mark Rogge, Janet Richardson, Janet Kelsey, Jane Grose and Thomas Gale and has published in prestigious journals such as Journal of Advanced Nursing, Genetics in Medicine and European Journal of Human Genetics.

In The Last Decade

Anita O’Connor

22 papers receiving 589 citations

Peers

Anita O’Connor

GENET

PHEOH

GHP

SPS

HEALT

Erika Blacksher United States

Lesley Goldsmith United Kingdom

Lindsay J. Collin United States

Karen H. Rothenberg United States

Armand H. Matheny Antommaria United States

Sandi Dheensa United Kingdom

Stephanie A. Kraft United States

Tara S. Strigo United States

Jessica Fields United States

Stephanie Roberts United States

Erika Blacksher United States

Anita O’Connor

88 ×0.3

GENET

181 ×1.0

PHEOH

209 ×1.3

GHP

117 ×1.3

SPS

56 ×0.7

HEALT

Citations per year, relative to Anita O’Connor Anita O’Connor (= 1×) peers Erika Blacksher

Countries citing papers authored by Anita O’Connor

Since Specialization

Citations

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

Fields of papers citing papers by Anita O’Connor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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20 of 20 papers shown

Jackson, Leigh, Anita O’Connor, Milena Paneque, et al.. (2018). The Gen-Equip Project: evaluation and impact of genetics e-learning resources for primary care in six European languages. Genetics in Medicine. 21(3). 718–726. 19 indexed citations

Endacott, Ruth, Thomas Gale, Anita O’Connor, & Samantha Dix. (2018). Frameworks and quality measures used for debriefing in team-based simulation: a systematic review. BMJ Simulation & Technology Enhanced Learning. 5(2). 61–72. 21 indexed citations

Williamson, Graham R., et al.. (2018). mHealth resources for asthma and pregnancy care: Methodological issues and social media recruitment. A discussion paper. Journal of Advanced Nursing. 74(10). 2442–2449. 8 indexed citations

Punshon, Geoffrey, et al.. (2017). The Experiences of Specialist Nurses Working Within the Uro-oncology Multidisciplinary Team in the United Kingdom. Clinical Nurse Specialist. 31(4). 210–218. 14 indexed citations

Williamson, Graham R., et al.. (2017). Women’s experiences of personalised support for asthma care during pregnancy: A systematic review of the literature. BMC Pregnancy and Childbirth. 17(1). 69–69. 9 indexed citations

O’Connor, Anita, et al.. (2016). Impact of fetal or child loss on parents’ perceptions of non-invasive prenatal diagnosis for autosomal recessive conditions. Midwifery. 34. 105–110. 4 indexed citations

Richardson, Janet, et al.. (2015). Nursing students’ attitudes towards sustainability and health care. Nursing Standard. 29(42). 36–41. 35 indexed citations

O’Connor, Anita, et al.. (2014). Midwifery care in the UK for older mothers. British Journal of Midwifery. 22(8). 568–577. 4 indexed citations

Skirton, Heather, Sivia Barnoy, Christine Patch, et al.. (2013). A Delphi study to determine the European core curriculum for Master programmes in genetic counselling. European Journal of Human Genetics. 21(10). 1060–1066. 13 indexed citations

10.

Goldsmith, Lesley, Leigh Jackson, Anita O’Connor, & Heather Skirton. (2013). Direct-to-consumer genomic testing from the perspective of the health professional: a systematic review of the literature. Journal of Community Genetics. 4(2). 169–180. 35 indexed citations

11.

O’Connor, Anita, Leigh Jackson, Lesley Goldsmith, & Heather Skirton. (2013). Can I get a retweet please? Health research recruitment and the Twittersphere. Journal of Advanced Nursing. 70(3). 599–609. 118 indexed citations

12.

Jones, Ray, Anita O’Connor, & É. Kaminski. (2013). Patients’ Experience of a Regional Allergy Service. Journal of public health research. 2(2). e13–e13. 3 indexed citations

13.

Skirton, Heather, Leigh Jackson, Lesley Goldsmith, & Anita O’Connor. (2013). Are Health Professionals Ready for Direct-to-consumer Genetic and Genomic Testing?. Personalized Medicine. 10(7). 673–682. 10 indexed citations

14.

Skirton, Heather, et al.. (2012). Direct to consumer genetic testing: a systematic review of position statements, policies and recommendations. Clinical Genetics. 82(3). 210–218. 64 indexed citations

15.

Jackson, Leigh, Lesley Goldsmith, Anita O’Connor, & Heather Skirton. (2012). Incidental findings in genetic research and clinical diagnostic tests: A systematic review. American Journal of Medical Genetics Part A. 158A(12). 3159–3167. 39 indexed citations

16.

Skirton, Heather, Anita O’Connor, & Ann Humphreys. (2012). Nurses’ competence in genetics: a mixed method systematic review. Journal of Advanced Nursing. 68(11). 2387–2398. 62 indexed citations

17.

Skirton, Heather, et al.. (2012). A study of the practice of individual genetic counsellors and genetic nurses in Europe. Journal of Community Genetics. 4(1). 69–75. 24 indexed citations

18.

Goldsmith, Lesley, Leigh Jackson, Anita O’Connor, & Heather Skirton. (2012). Direct-to-consumer genomic testing: systematic review of the literature on user perspectives. European Journal of Human Genetics. 20(8). 811–816. 82 indexed citations

19.

Jones, Ray, et al.. (2012). Costs and difficulties of recruiting patients to provide e-health support: pilot study in one primary care trust. BMC Medical Informatics and Decision Making. 12(1). 25–25. 14 indexed citations

20.

Skirton, Heather, Leigh Jackson, Lesley Goldsmith, & Anita O’Connor. (2012). Genomic Medicine: What are the Challenges for the National Health Service?. Personalized Medicine. 9(5). 539–545. 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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