Dana Bryazka

41.9k total citations
3 papers, 28 citations indexed

About

Dana Bryazka is a scholar working on Epidemiology, Pathology and Forensic Medicine and Health. According to data from OpenAlex, Dana Bryazka has authored 3 papers receiving a total of 28 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Epidemiology, 1 paper in Pathology and Forensic Medicine and 1 paper in Health. Recurrent topics in Dana Bryazka's work include Health Systems, Economic Evaluations, Quality of Life (1 paper), Health disparities and outcomes (1 paper) and Energy and Environment Impacts (1 paper). Dana Bryazka is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (1 paper), Health disparities and outcomes (1 paper) and Energy and Environment Impacts (1 paper). Dana Bryazka collaborates with scholars based in United States, Cuba and Denmark. Dana Bryazka's co-authors include Joseph L. Dieleman, Angela Y. Chang, Christopher J L Murray, Peng Zheng, Emmanuela Gakidou, Sinclair Carr, Susan A. McLaughlin, Reed J D Sorensen, Sarah Lewington and Jürgen Rehm and has published in prestigious journals such as Nature Communications, PLoS Medicine and Population Medicine.

In The Last Decade

Dana Bryazka

3 papers receiving 27 citations

Peers

Dana Bryazka
Ezinne Uvere Nigeria
Muel Telo Muyer Democratic Republic of the Congo
B. Scholz Germany
KK Ng Malaysia
Kyle Bass United States
Fabiana Giber Argentina
Ezinne Uvere Nigeria
Dana Bryazka
Citations per year, relative to Dana Bryazka Dana Bryazka (= 1×) peers Ezinne Uvere

Countries citing papers authored by Dana Bryazka

Since Specialization
Citations

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

Fields of papers citing papers by Dana Bryazka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dana Bryazka

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

All Works

3 of 3 papers shown
1.
Carr, Sinclair, Dana Bryazka, Susan A. McLaughlin, et al.. (2024). A burden of proof study on alcohol consumption and ischemic heart disease. Nature Communications. 15(1). 4082–4082. 15 indexed citations
2.
Chang, Angela Y., Dana Bryazka, & Joseph L. Dieleman. (2023). Estimating health spending associated with chronic multimorbidity in 2018: An observational study among adults in the United States. PLoS Medicine. 20(4). e1004205–e1004205. 12 indexed citations
3.
Bryazka, Dana, Marissa B Reitsma, Dan J. Stein, & Emmanuela Gakidou. (2023). Forecasting smoking deaths to 2050: a forecasting analysis for the global burden of disease study. Population Medicine. 5(Supplement). 1 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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