Carol Mansfield

2.4k total citations
100 papers, 1.7k citations indexed

About

Carol Mansfield is a scholar working on Economics and Econometrics, General Health Professions and Oncology. According to data from OpenAlex, Carol Mansfield has authored 100 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Economics and Econometrics, 13 papers in General Health Professions and 13 papers in Oncology. Recurrent topics in Carol Mansfield's work include Economic and Environmental Valuation (25 papers), Health Systems, Economic Evaluations, Quality of Life (14 papers) and Decision-Making and Behavioral Economics (9 papers). Carol Mansfield is often cited by papers focused on Economic and Environmental Valuation (25 papers), Health Systems, Economic Evaluations, Quality of Life (14 papers) and Decision-Making and Behavioral Economics (9 papers). Carol Mansfield collaborates with scholars based in United States, United Kingdom and Germany. Carol Mansfield's co-authors include F. Reed Johnson, George Van Houtven, Subhrendu K. Pattanayak, Robert I. McDonald, Patrick N. Halpin, Corey A. Siegel, Semra Özdemir, Steven Hass, Marco Boeri and Joel Huber and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Carol Mansfield

90 papers receiving 1.6k citations

Peers

Carol Mansfield

GHP

EPIDE

NEURO

Yuhong Jiang China

Linh Pham United States

John I. Allen United States

Szilárd Nemes Sweden

Julia E. Heck United States

Grace Wang United States

H. Naci Mocan Türkiye

Paul Brown United States

John Ryan United States

Jinjun Zhang China

Yuhong Jiang China

Carol Mansfield

135 ×0.2

252 ×0.9

GHP

335 ×1.7

EPIDE

44 ×0.2

NEURO

45 ×0.3

Citations per year, relative to Carol Mansfield Carol Mansfield (= 1×) peers Yuhong Jiang

Countries citing papers authored by Carol Mansfield

Since Specialization

Citations

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

Fields of papers citing papers by Carol Mansfield

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carol Mansfield

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Smith, Angela B., et al.. (2025). Non-muscle invasive bladder cancer treatment selection in an emerging treatment era: A patient preference study.. Journal of Clinical Oncology. 43(5_suppl). 754–754.

Smith, Angela B., John L. Gore, Haojie Li, et al.. (2025). Muscle invasive bladder cancer treatment selection in an emerging treatment era: A patient preference study.. Journal of Clinical Oncology. 43(5_suppl). 753–753.

RAVELO, A. G., et al.. (2024). Patient preferences for chronic lymphocytic leukemia treatments: a discrete-choice experiment. Future Oncology. 20(28). 2059–2070. 2 indexed citations

Mansfield, Carol, et al.. (2024). The value of knowing: preferences for genetic testing to diagnose rare muscle diseases. Orphanet Journal of Rare Diseases. 19(1). 173–173. 1 indexed citations

Marras, Connie, et al.. (2023). Patients’ Preferences for Adjunctive Parkinson’s Disease Treatments: A Discrete-Choice Experiment. Patient Preference and Adherence. Volume 17. 2263–2277. 1 indexed citations

Kwatra, Shawn G., Peter Lio, Stephan Weidinger, et al.. (2023). Patient preferences for atopic dermatitis treatments: a discrete choice experiment. Journal of Dermatological Treatment. 34(1). 2222201–2222201. 11 indexed citations

Janssen, Ellen M., Ian Smith, Xiaoying Liu, et al.. (2023). Patient Preferences for Lung Cancer Interception Therapy. JAMA Network Open. 6(11). e2342681–e2342681. 3 indexed citations

Mansfield, Carol, et al.. (2023). Adaptation of the WOMAC for Use in a Patient Preference Study. Therapeutic Innovation & Regulatory Science. 57(4). 702–711. 2 indexed citations

Auclair, Daniel, Carol Mansfield, Mark A. Fiala, et al.. (2022). Preferences and Priorities for Relapsed Multiple Myeloma Treatments Among Patients and Caregivers in the United States. SHILAP Revista de lepidopterología. 9 indexed citations

10.

Flythe, Jennifer E., Nieltje Gedney, David M. White, et al.. (2022). Development of a Patient Preference Survey for Wearable Kidney Replacement Therapy Devices. Kidney360. 3(7). 1197–1209. 5 indexed citations

11.

Mansfield, Carol, et al.. (2022). Patient preferences for features of HER2-targeted treatment of advanced or metastatic breast cancer: a discrete-choice experiment study. Breast Cancer. 30(1). 23–35. 3 indexed citations

12.

Mansfield, Carol, et al.. (2021). PRO59 Patient and Parent Preferences for Symptom Control in ASMD Type B and A/B Using Best-Worst Scaling Methodology. Value in Health. 24. S208–S208. 1 indexed citations

13.

DiSantostefano, Rachael L., et al.. (2020). Parent Preferences for Delaying Insulin Dependence in Children at Risk of Stage III Type 1 Diabetes. Diabetes Technology & Therapeutics. 22(8). 584–593. 4 indexed citations

14.

Mansfield, Carol, Christine Poulos, Marco Boeri, & Brett Hauber. (2019). PMU129 PERFORMANCE OF A COMPREHENSION QUESTION IN DISCRETE-CHOICE EXPERIMENT SURVEYS (DCE). Value in Health. 22. S730–S731. 3 indexed citations

15.

Browne, Erica N., Elizabeth Montgomery, Carol Mansfield, et al.. (2019). Efficacy is Not Everything: Eliciting Women’s Preferences for a Vaginal HIV Prevention Product Using a Discrete-Choice Experiment. AIDS and Behavior. 24(5). 1443–1451. 31 indexed citations

16.

Paquin, Ryan S., Ryan Fischer, Carol Mansfield, et al.. (2019). Priorities when deciding on participation in early-phase gene therapy trials for Duchenne muscular dystrophy: a best–worst scaling experiment in caregivers and adult patients. Orphanet Journal of Rare Diseases. 14(1). 102–102. 30 indexed citations

17.

Auclair, Daniel, Carol Mansfield, Ajai Chari, et al.. (2017). Understanding the Preferences of Patients and Caregivers for Relapsed/Refractory Multiple Myeloma Treatment: A Mixed-Mode Patient-Centric Approach. Blood. 130. 5662–5662. 2 indexed citations

18.

Lewis, Megan A., Ryan S. Paquin, Carol Mansfield, et al.. (2017). Parental preferences toward genomic sequencing for non-medically actionable conditions in children: a discrete-choice experiment. Genetics in Medicine. 20(2). 181–189. 26 indexed citations

19.

Mansfield, Carol, Florence K. L. Tangka, Donatus U. Ekwueme, et al.. (2016). Stated Preference for Cancer Screening: A Systematic Review of the Literature, 1990–2013. Preventing Chronic Disease. 13. E27–E27. 63 indexed citations

20.

Johnson, F. Reed & Carol Mansfield. (2008). Survey-Design and Analytical Strategies for Better Healthcare Stated-Choice Studies. Patient. 1(4). 299–307. 9 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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