Boryana Todorova
- Co-authors
- Markku LaaksoAgata KubaszekJohan G. ErikssonPirjo Ilanne‐ParikkaSirkka Keinänen‐KiukaanniemiJaana LindströmMatti UusitupaHelena Hämäläinen
- Topics
- Diet and metabolism studies (4 papers)Psychology of Moral and Emotional Judgment (3 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers)
- Partner nations
- AustriaFinlandUnited Kingdom
In The Last Decade
Boryana Todorova
14 papers receiving 164 citations
Peers
Comparison fields: 5 of 58
- Endocrinology, Diabetes and Metabolism 52
- Physiology 50
- Epidemiology 34
- Genetics 34
- Molecular Biology 30
Countries citing papers authored by Boryana Todorova
This map shows the geographic impact of Boryana Todorova'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 Boryana Todorova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boryana Todorova more than expected).
Fields of papers citing papers by Boryana Todorova
This network shows the impact of papers produced by Boryana Todorova. 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 Boryana Todorova. The network helps show where Boryana Todorova may publish in the future.
Co-authorship network of co-authors of Boryana Todorova
This figure shows the co-authorship network connecting the top 25 collaborators of Boryana Todorova. A scholar is included among the top collaborators of Boryana Todorova 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 Boryana Todorova. Boryana Todorova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 10 | |
| 8 | 0 | |
| 9 | 7 | |
| 10 | 9 | |
| 11 | Cardiovascular risk factors in type 2 diabetic patients in Bulgaria. | 2 |
| 12 | 12 | |
| 13 | Prevalence and type of dyslipidaemia in a population at risk for cardiovascular death in Bulgaria. | 5 |
| 14 | Pulse pressure is a strong predictor of cardiovascular risk: Data of the risk factors in impaired glucose tolerance for atherosclerosis and diabetes and the Sofia Metabolic Syndrome studies. | 6 |
| 15 | 36 | |
| 16 | 20 | |
| 17 | The G-250A promoter polymorphism of the hepatic lipase gene predicts the conversion from impaired glucose tolerance to type 2 diabetes mellitus | 3 |
| 18 | 51 |
About Boryana Todorova
Boryana Todorova is a scholar working on Endocrinology, Diabetes and Metabolism, Cognitive Neuroscience and Applied Psychology, having authored 18 papers that have together received 169 indexed citations. Recurring topics across this work include Diet and metabolism studies (4 papers), Psychology of Moral and Emotional Judgment (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (52 citations), Physiology (50 citations) and Endocrine and Autonomic Systems (13 citations). Boryana Todorova has collaborated with scholars based in Austria, Finland and United Kingdom. Frequent co-authors include Markku Laakso, Agata Kubaszek, Johan G. Eriksson, Pirjo Ilanne‐Parikka, Sirkka Keinänen‐Kiukaanniemi, Jaana Lindström, Matti Uusitupa, Helena Hämäläinen, Jussi Pihlajamäki and Jaakko Tuomilehto. Their work appears in journals such as Nature Communications, The Journal of Clinical Endocrinology & Metabolism and eLife.
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.