Rina Swart

4.3k total citations
56 papers, 1.2k citations indexed

About

Rina Swart is a scholar working on Public Health, Environmental and Occupational Health, Nutrition and Dietetics and General Health Professions. According to data from OpenAlex, Rina Swart has authored 56 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Public Health, Environmental and Occupational Health, 13 papers in Nutrition and Dietetics and 11 papers in General Health Professions. Recurrent topics in Rina Swart's work include Obesity, Physical Activity, Diet (19 papers), Consumer Attitudes and Food Labeling (13 papers) and Nutritional Studies and Diet (12 papers). Rina Swart is often cited by papers focused on Obesity, Physical Activity, Diet (19 papers), Consumer Attitudes and Food Labeling (13 papers) and Nutritional Studies and Diet (12 papers). Rina Swart collaborates with scholars based in South Africa, United States and United Kingdom. Rina Swart's co-authors include Demetre Labadarios, H H Vorster, J Huskisson, George S. Gericke, A Dannhauser, E. M. W. Maunder, David Sanders, Gary Maartens, Derick Blaauw and Johanna H. Nel and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Rina Swart

51 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rina Swart South Africa 18 477 384 267 192 184 56 1.2k
Sabrina Eymard‐Duvernay France 25 453 0.9× 372 1.0× 279 1.0× 472 2.5× 265 1.4× 67 1.6k
Thiago M. Santos Brazil 17 652 1.4× 293 0.8× 150 0.6× 69 0.4× 281 1.5× 33 1.4k
Karen R. Siegel United States 23 406 0.9× 142 0.4× 339 1.3× 113 0.6× 214 1.2× 61 1.6k
Zandile June‐Rose Mchiza South Africa 17 716 1.5× 448 1.2× 339 1.3× 57 0.3× 134 0.7× 71 1.6k
Una E. MacIntyre South Africa 17 472 1.0× 435 1.1× 207 0.8× 58 0.3× 70 0.4× 44 966
Kelechi Nnoaham United Kingdom 17 731 1.5× 292 0.8× 146 0.5× 196 1.0× 155 0.8× 27 2.5k
Anniza de Villiers South Africa 22 774 1.6× 285 0.7× 287 1.1× 58 0.3× 72 0.4× 78 1.5k
Wilma B. Freire Ecuador 18 278 0.6× 372 1.0× 241 0.9× 68 0.4× 59 0.3× 51 1.0k
Richmond Aryeetey Ghana 22 495 1.0× 712 1.9× 415 1.6× 52 0.3× 222 1.2× 127 1.7k
Alexandra Jones Australia 20 731 1.5× 182 0.5× 176 0.7× 77 0.4× 153 0.8× 83 1.3k

Countries citing papers authored by Rina Swart

Since Specialization
Citations

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

Fields of papers citing papers by Rina Swart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rina Swart

This figure shows the co-authorship network connecting the top 25 collaborators of Rina Swart. A scholar is included among the top collaborators of Rina Swart 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 Rina Swart. Rina Swart 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
2.
Swart, Rina, et al.. (2024). THE RELATIONSHIP BETWEEN FOOD INSECURITY, THE CHILD SUPPORT GRANT AND CHILDCARE ARRANGEMENTS. Social Work/Maatskaplike Werk. 60(1). 1 indexed citations
3.
Ng, Shu Wen, et al.. (2024). Dietary intake of low-income adults in South Africa: ultra-processed food consumption a cause for concern. Public Health Nutrition. 27(1). e41–e41. 12 indexed citations
4.
Thow, Anne Marie, et al.. (2024). Dietary intake of low-income adults in South Africa: ultra-processed food consumption a cause for concern. UNC Libraries. 1 indexed citations
5.
Solomon, S., et al.. (2024). The nutritional composition and in-store marketing of processed and packaged snack foods available at supermarkets in South Africa. Public Health Nutrition. 27. e254–e254. 3 indexed citations
7.
Annan, Reginald Adjetey, et al.. (2024). Background commentary on the Researching the Obesogenic Food Environment (ROFE) project. Public Health Nutrition. 27(1). e56–e56. 1 indexed citations
8.
Harker, Nadine, et al.. (2023). Newsprint representation of the alcohol sales bans during the COVID-19 pandemic in South Africa: A mixed methods analysis. The International Journal of Alcohol and Drug Research. 13–22.
9.
Swart, Rina, et al.. (2023). Alcohol consumption patterns, suppliers and online alcohol marketing: Before and during COVID-19 alcohol bans. South African Journal of Science. 119(11/12). 3 indexed citations
10.
Ng, Shu Wen, et al.. (2022). Applying and comparing various nutrient profiling models against the packaged food supply in South Africa. Public Health Nutrition. 25(8). 2296–2307. 4 indexed citations
11.
Swart, Rina, et al.. (2022). Did COVID-19-Related Alcohol Sales Restrictions Reduce Alcohol Consumption? Findings from a National Online Survey in South Africa. International Journal of Environmental Research and Public Health. 19(4). 2422–2422. 12 indexed citations
12.
Thow, Anne Marie, et al.. (2021). A Fit-for-Purpose Nutrient Profiling Model to Underpin Food and Nutrition Policies in South Africa. Nutrients. 13(8). 2584–2584. 11 indexed citations
13.
Taillie, Lindsey Smith, et al.. (2021). Taxed and untaxed beverage intake by South African young adults after a national sugar-sweetened beverage tax: A before-and-after study. PLoS Medicine. 18(5). e1003574–e1003574. 37 indexed citations
14.
Swart, Rina, Reginald Adjetey Annan, Anne Marie Thow, et al.. (2019). Mapping Obesogenic Food Environments in South Africa and Ghana: Correlations and Contradictions. Sustainability. 11(14). 3924–3924. 46 indexed citations
15.
Sheets, Lincoln, et al.. (2019). Urban Disadvantage, Obesity, and Underweight in 31 Lower-Income Countries. Studies in health technology and informatics. 264. 338–342. 1 indexed citations
16.
Zembe‐Mkabile, Wanga, Rebecca Surender, David Sanders, et al.. (2018). ‘To be a woman is to make a plan’: a qualitative study exploring mothers’ experiences of the Child Support Grant in supporting children’s diets and nutrition in South Africa. BMJ Open. 8(4). e019376–e019376. 15 indexed citations
17.
Delobelle, Peter, et al.. (2016). Diet-related non-communicable diseases in South Africa: determinants and policy responses. UWC Research Repository (University of the Western Cape). 2016(1). 35–42. 20 indexed citations
18.
Vorster, Hester H., et al.. (2013). 5. “Eat dry beans, split peas, lentils and soya regularly”: a food-based dietary guideline. South African Journal of Clinical Nutrition. 26(sup3). 36–45. 18 indexed citations
19.
Visser, Marianne E, Gerhard Walzl, Robin M. Warren, et al.. (2012). Baseline Predictors of Sputum Culture Conversion in Pulmonary Tuberculosis: Importance of Cavities, Smoking, Time to Detection and W-Beijing Genotype. PLoS ONE. 7(1). e29588–e29588. 51 indexed citations
20.
Swart, Rina, David Sanders, & Milla McLachlan. (2008). Nutrition : a Primary Health Care perspective : Primary Health Care : programme areas. South African Health Review. 2008(1). 129–147. 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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