Dina Janković

766 total citations · 1 hit paper
19 papers, 423 citations indexed

About

Dina Janković is a scholar working on Economics and Econometrics, General Health Professions and Sociology and Political Science. According to data from OpenAlex, Dina Janković has authored 19 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Economics and Econometrics, 5 papers in General Health Professions and 5 papers in Sociology and Political Science. Recurrent topics in Dina Janković's work include Health Systems, Economic Evaluations, Quality of Life (8 papers), Delphi Technique in Research (5 papers) and Digital Mental Health Interventions (4 papers). Dina Janković is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (8 papers), Delphi Technique in Research (5 papers) and Digital Mental Health Interventions (4 papers). Dina Janković collaborates with scholars based in United Kingdom, Switzerland and Austria. Dina Janković's co-authors include Mark Sculpher, Rachel Elliott, Elizabeth Camacho, Rita Faria, Laura Bojke, Marta Soares, Christopher Jackson, Karl Claxton, Alec Morton and Abigail Colson and has published in prestigious journals such as BMC Public Health, BMJ Open and Health Technology Assessment.

In The Last Decade

Dina Janković

17 papers receiving 414 citations

Hit Papers

Economic analysis of the prevalence and clinical and econ... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dina Janković United Kingdom 9 113 110 101 89 45 19 423
Pastora Pérez-Pérez Spain 10 50 0.4× 225 2.0× 50 0.5× 250 2.8× 39 0.9× 21 527
Lina Bader United Kingdom 14 249 2.2× 67 0.6× 77 0.8× 155 1.7× 189 4.2× 40 491
Paresh Dawda Australia 10 91 0.8× 20 0.2× 119 1.2× 232 2.6× 64 1.4× 37 471
Réjean Laprise Canada 8 166 1.5× 58 0.5× 66 0.7× 101 1.1× 71 1.6× 10 412
Melanie Livet United States 12 184 1.6× 35 0.3× 101 1.0× 273 3.1× 47 1.0× 30 427
Márcio Galvão Oliveira Brazil 11 208 1.8× 26 0.2× 89 0.9× 65 0.7× 51 1.1× 61 461
Christopher K. Snider United States 13 31 0.3× 26 0.2× 63 0.6× 132 1.5× 119 2.6× 38 459
Thomas Mills United Kingdom 9 43 0.4× 36 0.3× 32 0.3× 211 2.4× 43 1.0× 25 335
William A. Zellmer United States 14 358 3.2× 82 0.7× 93 0.9× 190 2.1× 199 4.4× 83 623
Stephanie Taché United States 10 156 1.4× 90 0.8× 57 0.6× 132 1.5× 85 1.9× 18 434

Countries citing papers authored by Dina Janković

Since Specialization
Citations

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

Fields of papers citing papers by Dina Janković

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dina Janković

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

All Works

19 of 19 papers shown
1.
Janković, Dina, et al.. (2025). STEER: Open Access Resources for Conducting Structured Expert Elicitation for Health Care Decision Making. Medical Decision Making. 45(6). 627–639.
2.
Woods, Beth, Dina Janković, Benjamin Kearns, et al.. (2024). Cefiderocol for treating severe aerobic Gram-negative bacterial infections: technology evaluation to inform a novel subscription-style payment model. Health Technology Assessment. 28(28). 1–238. 3 indexed citations
3.
4.
Woods, Beth, Benjamin Kearns, Dina Janković, et al.. (2024). Assessing the Value of New Antimicrobials: Evaluations of Cefiderocol and Ceftazidime-Avibactam to Inform Delinked Payments by the NHS in England. Applied Health Economics and Health Policy. 23(1). 5–17. 1 indexed citations
5.
Lampard, Pete, Joy Adamson, Laura Bojke, et al.. (2023). Priorities for research to support local authority action on health and climate change: a study in England. BMC Public Health. 23(1). 1965–1965. 2 indexed citations
6.
Nikolaidis, Georgios F., et al.. (2023). Constructing Relative Effect Priors for Research Prioritization and Trial Design: A Meta-epidemiological Analysis. Medical Decision Making. 43(5). 553–563. 1 indexed citations
7.
Gega, Lina, Dina Janković, Pedro Saramago, et al.. (2022). Digital interventions in mental health: evidence syntheses and economic modelling. Health Technology Assessment. 26(1). 1–182. 22 indexed citations
8.
Woodman, Jenny, Louise Mc Grath-Lone, Helen Weatherly, et al.. (2022). Study protocol: a mixed-methods study to evaluate which health visiting models in England are most promising for mitigating the harms of adverse childhood experiences. BMJ Open. 12(9). e066880–e066880. 4 indexed citations
9.
Veličković, Vladica & Dina Janković. (2022). Challenges around quantifying uncertainty in a holistic approach to hard‐to‐heal wound management: Health economic perspective. International Wound Journal. 20(3). 792–798. 10 indexed citations
10.
Bojke, Laura, Marta Soares, Karl Claxton, et al.. (2021). Reference Case Methods for Expert Elicitation in Health Care Decision Making. Medical Decision Making. 42(2). 182–193. 27 indexed citations
11.
Bojke, Laura, Marta Soares, Karl Claxton, et al.. (2021). Developing a reference protocol for structured expert elicitation in health-care decision-making: a mixed-methods study. Health Technology Assessment. 25(37). 1–124. 46 indexed citations
12.
Saramago, Pedro, Lina Gega, David Marshall, et al.. (2021). Digital Interventions for Generalized Anxiety Disorder (GAD): Systematic Review and Network Meta-Analysis. Frontiers in Psychiatry. 12. 726222–726222. 19 indexed citations
13.
Janković, Dina, Pedro Saramago, Lina Gega, et al.. (2021). Cost Effectiveness of Digital Interventions for Generalised Anxiety Disorder: A Model-Based Analysis. PharmacoEconomics - Open. 6(3). 377–388. 4 indexed citations
14.
Janković, Dina, Laura Bojke, David Marshall, et al.. (2020). Systematic Review and Critique of Methods for Economic Evaluation of Digital Mental Health Interventions. Applied Health Economics and Health Policy. 19(1). 17–27. 21 indexed citations
15.
Elliott, Rachel, Elizabeth Camacho, Dina Janković, Mark Sculpher, & Rita Faria. (2020). Economic analysis of the prevalence and clinical and economic burden of medication error in England. BMJ Quality & Safety. 30(2). 96–105. 207 indexed citations breakdown →
16.
Bojke, Laura, Dina Janković, Karl Claxton, et al.. (2019). Developing a reference protocol for expert elicitation in healthcare decision making. 5 indexed citations
18.
Montresor, Antonio, et al.. (2016). Markov Model Predicts Changes in STH Prevalence during Control Activities Even with a Reduced Amount of Baseline Information. PLoS neglected tropical diseases. 10(4). e0004371–e0004371. 8 indexed citations
19.
Montresor, Antonio, Marco Albonico, Albis Francesco Gabrielli, et al.. (2014). Soil-transmitted helminthiasis: the relationship between prevalence and classes of intensity of infection. Transactions of the Royal Society of Tropical Medicine and Hygiene. 109(4). 262–267. 21 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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