Marion Haas

5.6k total citations · 2 hit papers
143 papers, 3.9k citations indexed

About

Marion Haas is a scholar working on Economics and Econometrics, General Health Professions and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Marion Haas has authored 143 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Economics and Econometrics, 48 papers in General Health Professions and 34 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Marion Haas's work include Health Systems, Economic Evaluations, Quality of Life (39 papers), Healthcare Policy and Management (19 papers) and Primary Care and Health Outcomes (17 papers). Marion Haas is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (39 papers), Healthcare Policy and Management (19 papers) and Primary Care and Health Outcomes (17 papers). Marion Haas collaborates with scholars based in Australia, United States and Canada. Marion Haas's co-authors include Rosalie Viney, Sallie‐Anne Pearson, Richard Norman, Jane Hall, Yun‐Hee Jeon, Jane Stein‐Parbury, Henry Brodaty, Georgina Luscombe, Madeleine King and Philip Haywood and has published in prestigious journals such as The Lancet, JAMA and Journal of Clinical Oncology.

In The Last Decade

Marion Haas

140 papers receiving 3.8k citations

Hit Papers

Incidence and severity of self-reported chemo... 2009 2026 2014 2020 2017 2009 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marion Haas Australia 34 1.4k 822 775 498 411 143 3.9k
Henry A. Glick United States 44 1.6k 1.1× 2.4k 2.9× 936 1.2× 954 1.9× 448 1.1× 131 7.8k
Peter Littlejohns United Kingdom 32 2.7k 2.0× 1.4k 1.7× 1.1k 1.4× 308 0.6× 367 0.9× 105 5.3k
Joel W. Hay United States 38 1.6k 1.1× 1.8k 2.2× 429 0.6× 643 1.3× 344 0.8× 163 6.2k
Alvin R. Tarlov United States 28 2.4k 1.7× 1.2k 1.5× 850 1.1× 566 1.1× 584 1.4× 54 6.2k
Andrew W. Murphy Ireland 45 2.3k 1.6× 968 1.2× 1.3k 1.6× 539 1.1× 357 0.9× 293 7.3k
Deborah Schofield Australia 32 1.7k 1.2× 929 1.1× 779 1.0× 196 0.4× 284 0.7× 192 6.7k
Marcia M. Ward United States 38 1.2k 0.9× 617 0.8× 1.1k 1.4× 147 0.3× 128 0.3× 192 5.2k
Rachael L. Morton Australia 43 1.4k 1.0× 1.2k 1.5× 1.8k 2.3× 335 0.7× 797 1.9× 241 8.8k
Diane Lorenzetti Canada 42 1.3k 1.0× 491 0.6× 1.1k 1.4× 1.3k 2.5× 939 2.3× 169 6.3k
Ashwini R. Sehgal United States 44 1.0k 0.7× 531 0.6× 1.4k 1.9× 440 0.9× 472 1.1× 164 6.6k

Countries citing papers authored by Marion Haas

Since Specialization
Citations

This map shows the geographic impact of Marion Haas'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 Marion Haas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marion Haas more than expected).

Fields of papers citing papers by Marion Haas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marion Haas. 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 Marion Haas. The network helps show where Marion Haas may publish in the future.

Co-authorship network of co-authors of Marion Haas

This figure shows the co-authorship network connecting the top 25 collaborators of Marion Haas. A scholar is included among the top collaborators of Marion Haas 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 Marion Haas. Marion Haas 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.
Davis, Ian D., et al.. (2023). Societal benefits of surrogate outcomes to support reimbursement decisions: The case of prostate cancer.. Journal of Clinical Oncology. 41(6_suppl). 372–372.
2.
Haas, Marion, Jody Church, Deborah J. Street, et al.. (2022). The preferences of women in Australia for the features of long-acting reversible contraception: results of a discrete choice experiment. The European Journal of Contraception & Reproductive Health Care. 27(5). 424–430. 3 indexed citations
3.
Taft, Angela, Cathy Watson, Kirsten Black, et al.. (2022). Sustainable and effective methods to increase long‐acting reversible contraception uptake from the ACCORd general practice trial. Australian and New Zealand Journal of Public Health. 46(4). 540–544. 4 indexed citations
4.
Black, Kirsten, Kevin McGeechan, Cathy Watson, et al.. (2021). Women’s satisfaction with and ongoing use of hormonal long‐acting methods compared to the oral contraceptive pill: Findings from an Australian general practice cluster randomised trial (ACCORd). Australian and New Zealand Journal of Obstetrics and Gynaecology. 61(3). 448–453. 4 indexed citations
6.
Mazza, Danielle, Cathy Watson, Angela Taft, et al.. (2019). Increasing long-acting reversible contraceptives: the Australian Contraceptive ChOice pRoject (ACCORd) cluster randomized trial. American Journal of Obstetrics and Gynecology. 222(4). S921.e1–S921.e13. 37 indexed citations
7.
Haywood, Philip, Rosalie Viney, & Marion Haas. (2018). Real-World Costs of Increasing Complexity of Cancer Care. Value in Health. 21. S13–S14. 1 indexed citations
8.
Kenny, Patricia, et al.. (2015). Community preferences in general practice: important factors for choosing a general practitioner. Health Expectations. 19(1). 26–38. 19 indexed citations
9.
Furber, Susan, Margaret Allman‐Farinelli, Philayrath Phongsavan, et al.. (2014). Effectiveness of a Pedometer-Based Telephone Coaching Program on Weight and Physical Activity for People Referred to a Cardiac Rehabilitation Program. Journal of Cardiopulmonary Rehabilitation and Prevention. 35(2). 124–129. 28 indexed citations
11.
Pearce, Alison, Marion Haas, Rosalie Viney, Robyn L. Ward, & Philip Haywood. (2014). Rates of Chemotherapy Adverse-Events in Clinical Practice: Results From Prospective Cohort Study. Asia-Pacific Journal of Clinical Oncology. 10. 43–44. 1 indexed citations
12.
Pearce, Alison, Kees Van Gool, Philip Haywood, & Marion Haas. (2012). Delays in access to affordable medicines: putting policy into perspective. Australian Health Review. 36(4). 412–418. 9 indexed citations
13.
Haas, Marion, Toni Ashton, Terkel Christiansen, et al.. (2009). Drugs, sex, money and power: An HPV vaccine case study. Health Policy. 92(2-3). 288–295. 39 indexed citations
14.
Pirkis, Jane, Sharon Goldfeld, Stuart Peacock, et al.. (2005). Assessing the capacity of the health services research community in Australia and New Zealand. PubMed. 2(1). 4–4. 8 indexed citations
15.
Haas, Marion, et al.. (2003). Analyse de prescription en institution gériatrique. Journal de Pharmacie Clinique. 22(1). 18–22. 5 indexed citations
17.
Hall, Jane, Rosalie Viney, & Marion Haas. (1998). Taking a count: the evaluation of genetic testing. Australian and New Zealand Journal of Public Health. 22(7). 754–758. 16 indexed citations
18.
Seymour, J, Marion Haas, & Rosalie Viney. (1996). Seeing through the smoke: using economic evaluation to allocate health promotion resources to prevent smoking. Health Promotion Journal of Australia. 6(1). 7. 1 indexed citations
19.
Salkeld, Glenn, Graeme P. Young, Les Irwig, Marion Haas, & Paul Glasziou. (1996). Cost‐effectiveness analysis of screening by faecal occult blood testing for colorectal cancer in Australia. Australian and New Zealand Journal of Public Health. 20(2). 138–143. 46 indexed citations
20.
Haas, Marion. (1993). Evaluation of physiotherapy using cost-utility analysis. Australian Journal of Physiotherapy. 39(3). 211–216. 5 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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