Dagmara Kuliś

1.2k total citations
29 papers, 515 citations indexed

About

Dagmara Kuliś is a scholar working on Oncology, Economics and Econometrics and General Health Professions. According to data from OpenAlex, Dagmara Kuliś has authored 29 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 11 papers in Economics and Econometrics and 9 papers in General Health Professions. Recurrent topics in Dagmara Kuliś's work include Cancer survivorship and care (11 papers), Health Systems, Economic Evaluations, Quality of Life (11 papers) and Patient-Provider Communication in Healthcare (6 papers). Dagmara Kuliś is often cited by papers focused on Cancer survivorship and care (11 papers), Health Systems, Economic Evaluations, Quality of Life (11 papers) and Patient-Provider Communication in Healthcare (6 papers). Dagmara Kuliś collaborates with scholars based in Belgium, Germany and United Kingdom. Dagmara Kuliś's co-authors include Andrew Bottomley, Michael Koller, Mona Martin, Claire Piccinin, Andrew Bottomley, Eva Greimel, Juan Ignacio Arrarás, Bernhard Holzner, Susanne Singer and Wei‐Chu Chie and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and Annals of Oncology.

In The Last Decade

Dagmara Kuliś

25 papers receiving 509 citations

Peers

Dagmara Kuliś
Hriday P. Bhambhvani United States
Ashly C. Westrick United States
Llúcia Benito‐Aracil Spain
Christine Rotonda France
Carles Forné Spain
Kathy Oliver United Kingdom
Kerry L. Beckman United States
Lisa M. Wintner Austria
Zeinab Hamidou France
B. Wiering Netherlands
Hriday P. Bhambhvani United States
Dagmara Kuliś
Citations per year, relative to Dagmara Kuliś Dagmara Kuliś (= 1×) peers Hriday P. Bhambhvani

Countries citing papers authored by Dagmara Kuliś

Since Specialization
Citations

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

Fields of papers citing papers by Dagmara Kuliś

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dagmara Kuliś

This figure shows the co-authorship network connecting the top 25 collaborators of Dagmara Kuliś. A scholar is included among the top collaborators of Dagmara Kuliś 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 Dagmara Kuliś. Dagmara Kuliś 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.
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Turner, Mark, Sonya Eremenco, Holger Muehlan, et al.. (2025). Principles of good practice for translation of electronic clinical outcome assessments. Journal of Patient-Reported Outcomes. 9(1). 26–26.
3.
Conroy, Thierry, Monica Guberti, Bernhard Holzner, et al.. (2024). Acceptability and usefulness of the EORTC ‘Write In three Symptoms/Problems’ (WISP): a brief open-ended instrument for symptom assessment in cancer patients. Health and Quality of Life Outcomes. 22(1). 28–28. 3 indexed citations
4.
Amdal, Cecilie Delphin, Kathy Taylor, Dagmara Kuliś, et al.. (2022). Health-related quality of life in patients with COVID-19; international development of a patient-reported outcome measure. Journal of Patient-Reported Outcomes. 6(1). 26–26. 9 indexed citations
5.
Amdal, Cecilie Delphin, Madeline Pe, Ragnhild Sørum Falk, et al.. (2021). Health-related quality of life issues, including symptoms, in patients with active COVID-19 or post COVID-19; a systematic literature review. Quality of Life Research. 30(12). 3367–3381. 60 indexed citations
6.
Sztankay, Monika, Lisa M. Wintner, Linda Dirven, et al.. (2021). Developing an e-learning course on the use of PRO measures in oncological practice: health care professionals’ preferences for learning content and methods. Supportive Care in Cancer. 30(3). 2555–2567. 8 indexed citations
7.
Piccinin, Claire, Madeline Pe, Dagmara Kuliś, et al.. (2021). Equivalence testing of a newly developed interviewer-led telephone script for the EORTC QLQ-C30. Quality of Life Research. 31(3). 877–888. 1 indexed citations
8.
Koller, Michael, Karolina Müller, Sandra Nolte, et al.. (2021). Investigating the response scale of the EORTC QLQ-C30 in German cancer patients and a population survey. Health and Quality of Life Outcomes. 19(1). 235–235. 4 indexed citations
9.
Fiore, Marco, Javier Martín‐Broto, Bernd Kasper, et al.. (2020). Incorporating the Patient Voice in Sarcoma Research: How Can We Assess Health-Related Quality of Life in This Heterogeneous Group of Patients? A Study Protocol. Cancers. 13(1). 1–1. 22 indexed citations
10.
Piccinin, Claire, Dagmara Kuliś, Andrew Bottomley, et al.. (2019). PCN296 DEVELOPMENT OF SCIENTIFIC GUIDELINES FOR USE OF THE EORTC ITEM LIBRARY IN CANCER CLINICAL TRIALS. Value in Health. 22. S112–S113. 1 indexed citations
11.
12.
Acquadro, C., Donald L. Patrick, Sonya Eremenco, et al.. (2018). Emerging good practices for Translatability Assessment (TA) of Patient-Reported Outcome (PRO) measures. Journal of Patient-Reported Outcomes. 2(1). 8–8. 43 indexed citations
13.
Kuliś, Dagmara, Andrew Bottomley, Anne‐Sophie Darlington, et al.. (2017). The Use of The Eortc Item Library To Supplement Eortc Quality of Life Instruments. Value in Health. 20(9). A775–A775. 27 indexed citations
14.
Koller, Michael, Krzysztof A. Tomaszewski, Iwona M. Tomaszewska, et al.. (2017). An international study to revise the EORTC questionnaire for assessing quality of life in lung cancer patients. Annals of Oncology. 28(11). 2874–2881. 44 indexed citations
15.
Kuliś, Dagmara, et al.. (2016). Development of a Guidance on the Implementation and use of EORTC Instruments in Electronic Applications. Value in Health. 19(7). A391–A391. 1 indexed citations
16.
Arrarás, Juan Ignacio, Lisa M. Wintner, Monika Sztankay, et al.. (2016). EORTC QLQ-COMU26: a questionnaire for the assessment of communication between patients and professionals. Phase III of the module development in ten countries. Supportive Care in Cancer. 25(5). 1485–1494. 15 indexed citations
17.
Koller, Michael, Marianne Jensen Hjermstad, Cecilia Pompili, et al.. (2015). Use of the lung cancer–specific Quality of Life Questionnaire EORTC QLQ‐LC13 in clinical trials: A systematic review of the literature 20 years after its development. Cancer. 121(24). 4300–4323. 47 indexed citations
18.
Scott, Neil, Neil K. Aaronson, Andrew Bottomley, et al.. (2012). An evaluation of the response category translations of the EORTC QLQ-C30 questionnaire. Quality of Life Research. 22(6). 1483–1490. 4 indexed citations
19.
Nowak, Wojciech, et al.. (2011). Adaptation of Quality of Life Module EORTC QLQ-CR29 for Polish Patients with Rectal Cancer - Initial Assessment of Validity and Raeliability. Polish Journal of Surgery. 83(9). 502–10. 15 indexed citations
20.
Kuliś, Dagmara, et al.. (2011). Trends in translation requests and arising issues regarding cultural adaptation. Expert Review of Pharmacoeconomics & Outcomes Research. 11(3). 307–314. 33 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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