Tea Burmaz

429 total citations
10 papers, 320 citations indexed

About

Tea Burmaz is a scholar working on Epidemiology, General Health Professions and Psychiatry and Mental health. According to data from OpenAlex, Tea Burmaz has authored 10 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 6 papers in General Health Professions and 4 papers in Psychiatry and Mental health. Recurrent topics in Tea Burmaz's work include Breastfeeding Practices and Influences (8 papers), Child and Adolescent Health (6 papers) and Child Nutrition and Feeding Issues (4 papers). Tea Burmaz is often cited by papers focused on Breastfeeding Practices and Influences (8 papers), Child and Adolescent Health (6 papers) and Child Nutrition and Feeding Issues (4 papers). Tea Burmaz collaborates with scholars based in Italy, Croatia and United States. Tea Burmaz's co-authors include Irena Zakarija‐Grković, Adriano Cattaneo, Luca Ronfani, Elise M. Chapin, Maureen Fallon, Catherine Massart, Ingrid Nilsson, Simona Di Mario, Riccardo Davanzo and Elena Savoia and has published in prestigious journals such as Public Health Nutrition, Acta Paediatrica and European Journal of Public Health.

In The Last Decade

Tea Burmaz

10 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tea Burmaz Italy	8	284	174	109	93	59	10	320
Sheryl W. Abrahams United States	7	266 0.9×	138 0.8×	110 1.0×	66 0.7×	52 0.9×	7	335
I Mezen Canada	4	212 0.7×	126 0.7×	153 1.4×	72 0.8×	77 1.3×	4	312
Rachelle Lessen United States	7	307 1.1×	158 0.9×	184 1.7×	69 0.7×	102 1.7×	12	427
Lela Bachrach United States	5	244 0.9×	115 0.7×	122 1.1×	70 0.8×	71 1.2×	9	334
George Shishko Canada	3	207 0.7×	124 0.7×	151 1.4×	68 0.7×	73 1.2×	4	282
Laura Bernaix United States	9	207 0.7×	149 0.9×	68 0.6×	67 0.7×	107 1.8×	11	320
Dorothy Bai Hong Kong	11	385 1.4×	243 1.4×	138 1.3×	164 1.8×	65 1.1×	18	445
Tatiana O. Vieira Brazil	8	234 0.8×	106 0.6×	159 1.5×	100 1.1×	91 1.5×	12	339
Sharon Radzyminski United States	8	218 0.8×	131 0.8×	58 0.5×	84 0.9×	92 1.6×	15	315
James Akré Switzerland	4	203 0.7×	101 0.6×	113 1.0×	37 0.4×	42 0.7×	10	287

Countries citing papers authored by Tea Burmaz

Since Specialization

Citations

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

Fields of papers citing papers by Tea Burmaz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tea Burmaz

This figure shows the co-authorship network connecting the top 25 collaborators of Tea Burmaz. A scholar is included among the top collaborators of Tea Burmaz 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 Tea Burmaz. Tea Burmaz 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:

10 of 10 papers shown

1.

Piltch‐Loeb, Rachael, et al.. (2022). Essential Workers’ COVID-19 Vaccine Hesitancy, Misinformation, and Informational Needs in the Republic of North Macedonia. Vaccines. 10(3). 348–348. 7 indexed citations

2.

Burmaz, Tea, et al.. (2018). Organization or Community-Based Outbreak? Responding to Cases of Meningitis Under Epidemiologic Uncertainty. Disaster Medicine and Public Health Preparedness. 13(2). 368–371. 1 indexed citations

3.

Zakarija‐Grković, Irena, et al.. (2017). Compliance With WHO/UNICEF BFHI Standards in Croatia After Implementation of the BFHI. Journal of Human Lactation. 34(1). 106–115. 22 indexed citations

4.

Zakarija‐Grković, Irena, et al.. (2015). Predictors of suboptimal breastfeeding: an opportunity for public health interventions. European Journal of Public Health. 26(2). 282–289. 31 indexed citations

5.

Zakarija‐Grković, Irena, et al.. (2012). Hospital Practices and Breastfeeding Rates before and after the UNICEF/WHO 20-Hour Course for Maternity Staff. Journal of Human Lactation. 28(3). 389–399. 27 indexed citations

6.

Zakarija‐Grković, Irena & Tea Burmaz. (2010). Effectiveness of the UNICEF/WHO 20-hour Course in Improving Health Professionals’ Knowledge, Practices, and Attitudes to Breastfeeding: A Before/After Study of 5 Maternity Facilities in Croatia. Croatian Medical Journal. 51(5). 396–405. 36 indexed citations

7.

Cattaneo, Adriano, Tea Burmaz, Ingrid Nilsson, et al.. (2009). Protection, promotion and support of breast-feeding in Europe: progress from 2002 to 2007. Public Health Nutrition. 13(6). 751–759. 95 indexed citations

8.

Cattaneo, Adriano, et al.. (2006). Infant feeding and cost of health care: A cohort study. Acta Paediatrica. 95(5). 540–546. 46 indexed citations

9.

Cattaneo, Adriano, et al.. (2006). Infant feeding and cost of health care: A cohort study. Acta Paediatrica. 95(5). 540–546. 8 indexed citations

10.

Burmaz, Tea, et al.. (1999). Nipple Care, Sore Nipples, and Breastfeeding: A Randomized Trial. Journal of Human Lactation. 15(2). 125–130. 47 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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