Natalya Usheva

726 total citations
46 papers, 450 citations indexed

About

Natalya Usheva is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Natalya Usheva has authored 46 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Public Health, Environmental and Occupational Health, 10 papers in General Health Professions and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Natalya Usheva's work include Obesity, Physical Activity, Diet (19 papers), Nutritional Studies and Diet (8 papers) and Child Nutrition and Feeding Issues (6 papers). Natalya Usheva is often cited by papers focused on Obesity, Physical Activity, Diet (19 papers), Nutritional Studies and Diet (8 papers) and Child Nutrition and Feeding Issues (6 papers). Natalya Usheva collaborates with scholars based in Bulgaria, Spain and Greece. Natalya Usheva's co-authors include Yannis Μanios, Violeta Iotova, Greet Cardon, Berthold Koletzko, Luís A. Moreno, Ilse De Bourdeaudhuij, Marieke De Craemer, Rouzha Pancheva, Katrien Wijndaele and E. De Decker and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nutrients and Obesity Reviews.

In The Last Decade

Natalya Usheva

39 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natalya Usheva Bulgaria 12 230 86 83 64 62 46 450
Veena Mazarello Paes United Kingdom 9 297 1.3× 100 1.2× 37 0.4× 17 0.3× 65 1.0× 14 492
Vesselka Duleva Bulgaria 9 338 1.5× 108 1.3× 39 0.5× 29 0.5× 63 1.0× 15 420
Paloma Flores‐Barrantes Spain 8 291 1.3× 96 1.1× 46 0.6× 27 0.4× 65 1.0× 21 409
Alba M. Santaliestra-Pasías Spain 9 205 0.9× 80 0.9× 59 0.7× 43 0.7× 61 1.0× 12 332
María L. Miguel‐Berges Spain 13 366 1.6× 105 1.2× 48 0.6× 42 0.7× 195 3.1× 47 583
Karen Sparrenberger Brazil 7 174 0.8× 60 0.7× 37 0.4× 31 0.5× 46 0.7× 12 282
Ilaine Schuch Brazil 12 241 1.0× 153 1.8× 53 0.6× 30 0.5× 66 1.1× 32 432
Eimear Keane Ireland 10 295 1.3× 106 1.2× 27 0.3× 20 0.3× 82 1.3× 13 397
Jing-xiong Jiang China 13 338 1.5× 55 0.6× 34 0.4× 30 0.5× 40 0.6× 23 586
Carlos Albuquerque Portugal 12 105 0.5× 89 1.0× 29 0.3× 29 0.5× 34 0.5× 76 395

Countries citing papers authored by Natalya Usheva

Since Specialization
Citations

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

Fields of papers citing papers by Natalya Usheva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalya Usheva

This figure shows the co-authorship network connecting the top 25 collaborators of Natalya Usheva. A scholar is included among the top collaborators of Natalya Usheva 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 Natalya Usheva. Natalya Usheva 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.
Papamichael, Maria Michelle, Natalya Usheva, Violeta Iotova, et al.. (2024). Associations between household food environment and daily intake of regular and diet soft drinks per BMI status of European children: Feel4Diabetes Study. Nutrition Bulletin. 49(1). 82–95.
2.
Pancheva, Rouzha, Stanka A. Fitneva, Dimitar Marinov, et al.. (2024). A randomized controlled trial protocol for the introduction of a multidisciplinary individualized nutritional intervention in children with cerebral palsy. Contemporary Clinical Trials Communications. 41. 101343–101343. 1 indexed citations
3.
Ferrè, Francesca, Gaia Bertarelli, Christina Mavrogianni, et al.. (2024). Addressing chronic diseases: a comparative study of policies towards type-2 diabetes and hypertension in selected European countries. European Journal of Public Health. 34(4). 781–786. 4 indexed citations
4.
Usheva, Natalya, et al.. (2024). Barriers to the application of simulation technologies in the education of health care students. European Journal of Public Health. 34(Supplement_3). 1 indexed citations
5.
Flores‐Barrantes, Paloma, Pilar De Miguel‐Etayo, Iris Iglesia, et al.. (2024). Longitudinal associations between food parenting practices and dietary intake in preschool children: The ToyBox Study. Nutrition. 124. 112454–112454.
6.
Mahmood, Lubna, Esther M. González‐Gil, Konstantinos Makrilakis, et al.. (2023). Cross‐sectional and longitudinal associations between family meals frequency and children's overweight/obesity in families at high risk of type 2 diabetes: The Feel4Diabetesstudy. Pediatric Obesity. 18(4). e13000–e13000. 7 indexed citations
7.
Karatzi, Kalliopi, Eva Karaglani, Natalya Usheva, et al.. (2022). Diet quality in association to lipidaemic profile in adults of families at high-risk for type 2 diabetes in Europe: The Feel4Diabetes study. Nutrition Metabolism and Cardiovascular Diseases. 32(5). 1175–1185. 2 indexed citations
8.
Mahmood, Lubna, Luís A. Moreno, Paloma Flores‐Barrantes, et al.. (2022). Parental food consumption and diet quality and its association with children’s food consumption in families at high risk of type 2 diabetes: the Feel4Diabetes-study. Public Health Nutrition. 25(12). 3344–3355. 1 indexed citations
9.
Papamichael, Maria Michelle, Kalliopi Karatzi, Christina Mavrogianni, et al.. (2022). Socioeconomic vulnerabilities and food intake in European children: The Feel4Diabetes Study. Nutrition. 103-104. 111744–111744. 8 indexed citations
10.
Pancheva, Rouzha, Κaloyan Tsochev, Natalya Usheva, et al.. (2022). Dietary Behavior and Compliance to Bulgarian National Nutrition Guidelines in Patients With Type 1 Diabetes With Longstanding Disease. Frontiers in Nutrition. 9. 900422–900422. 2 indexed citations
11.
Докова, Клара, Rouzha Pancheva, Natalya Usheva, et al.. (2022). Nutrition Transition in Europe: East-West Dimensions in the Last 30 Years—A Narrative Review. Frontiers in Nutrition. 9. 919112–919112. 17 indexed citations
12.
Usheva, Natalya, Sonya Galcheva, Greet Cardon, et al.. (2021). Complementary Feeding and Overweight in European Preschoolers: The ToyBox-Study. Nutrients. 13(4). 1199–1199. 7 indexed citations
13.
Flores‐Barrantes, Paloma, Iris Iglesia, Greet Cardon, et al.. (2021). Longitudinal Associations between Food Parenting Practices and Dietary Intake in Children: The Feel4Diabetes Study. Nutrients. 13(4). 1298–1298. 9 indexed citations
14.
Usheva, Natalya, Mina Lateva, Sonya Galcheva, et al.. (2021). Breastfeeding and Overweight in European Preschoolers: The ToyBox Study. Nutrients. 13(8). 2880–2880. 10 indexed citations
15.
Stappen, Vicky Van, Greet Cardon, Marieke De Craemer, et al.. (2021). The effect of a cluster-randomized controlled trial on lifestyle behaviors among families at risk for developing type 2 diabetes across Europe: the Feel4Diabetes-study. International Journal of Behavioral Nutrition and Physical Activity. 18(1). 86–86. 10 indexed citations
16.
Illner, Anne‐Kathrin, et al.. (2020). Mapping the global evidence on nutrition transition: a scoping review protocol. BMJ Open. 10(6). e034730–e034730. 13 indexed citations
17.
Anastasiou, Costas A., Evangelia Fappa, Christina Mavrogianni, et al.. (2020). Development and reliability of questionnaires for the assessment of diet and physical activity behaviors in a multi-country sample in Europe the Feel4Diabetes Study. BMC Endocrine Disorders. 20(S1). 135–135. 30 indexed citations
18.
Dimitrov, Ivan, et al.. (2015). Application of the Rey-Osterrieth complex figure test for assessment of cognitive impairment in multiple sclerosis. Scripta Scientifica Medica. 47(3). 59–59. 4 indexed citations
19.
Decker, E. De, Marieke De Craemer, Ilse De Bourdeaudhuij, et al.. (2012). Influencing factors of screen time in preschool children: an exploration of parents' perceptions through focus groups in six European countries. Obesity Reviews. 13(s1). 75–84. 111 indexed citations
20.
Dimitrov, Ivan, et al.. (2003). Assessment of the Subjective Visual Dysfunction of Patients With Multiple Sclerosis Using Specialized Questionnaires. Scripta Scientifica Medica. 35. 75–78. 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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