Bóglárka Rácz
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 2%
- Surgery top 10%
- Oncology
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Dóra ReglődiAndrea TamásFerenc GallyasP. KissAndrea LubicsBalázs GaszGábor K. TóthBalázs Sümegi
- Topics
- Neuropeptides and Animal Physiology (31 papers)Receptor Mechanisms and Signaling (17 papers)Cardiovascular, Neuropeptides, and Oxidative Stress Research (15 papers)
- Partner nations
- HungaryUnited StatesUnited Kingdom
In The Last Decade
Bóglárka Rácz
64 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 912
- Cellular and Molecular Neuroscience 885
- Surgery 366
- Oncology 171
- Endocrinology, Diabetes and Metabolism 163
Countries citing papers authored by Bóglárka Rácz
This map shows the geographic impact of Bóglárka Rácz'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 Bóglárka Rácz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bóglárka Rácz more than expected).
Fields of papers citing papers by Bóglárka Rácz
This network shows the impact of papers produced by Bóglárka Rácz. 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 Bóglárka Rácz. The network helps show where Bóglárka Rácz may publish in the future.
Co-authorship network of co-authors of Bóglárka Rácz
This figure shows the co-authorship network connecting the top 25 collaborators of Bóglárka Rácz. A scholar is included among the top collaborators of Bóglárka Rácz 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 Bóglárka Rácz. Bóglárka Rácz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | Effect of the advanced non-retinoid RBP4 antagonist on vascular permeability in the mouse diabetic retinopathy model | 1 |
| 3 | Pharmacological normalization of the complement system dysregulation in the animal model of enhanced lipofuscin formation. | 1 |
| 4 | 7 | |
| 5 | 17 | |
| 6 | 5 | |
| 7 | 26 | |
| 8 | 33 | |
| 9 | 49 | |
| 10 | 21 | |
| 11 | 75 | |
| 12 | 23 | |
| 13 | 24 | |
| 14 | 24 | |
| 15 | 24 | |
| 16 | 30 | |
| 17 | 18 | |
| 18 | 38 | |
| 19 | 61 | |
| 20 | 69 |
About Bóglárka Rácz
Bóglárka Rácz is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Ophthalmology, having authored 65 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (31 papers), Receptor Mechanisms and Signaling (17 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (15 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (885 citations), Developmental Neuroscience (61 citations) and Molecular Biology (912 citations). Bóglárka Rácz has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include Dóra Reglődi, Andrea Tamás, Ferenc Gallyas, P. Kiss, Andrea Lubics, Balázs Gasz, Gábor K. Tóth, Balázs Sümegi, Istvàn Lengvári and Andrea Ferencz. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and FEBS Letters.
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.