Natalia Mast
- Molecular Biology top 10%
- Surgery top 5%
- Pharmacology top 0.5%
- Endocrinology, Diabetes and Metabolism top 2%
- Oncology top 10%
- Co-authors
- Irina A. PikulevaIngemar BjörkhemWenchao ZhengIllarion V. TurkoAicha SaadaneC.D. StoutAlexey M. PetrovJoseph B. Lin
- Topics
- Cholesterol and Lipid Metabolism (46 papers)Hormonal Regulation and Hypertension (21 papers)Pharmacogenetics and Drug Metabolism (19 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryAngewandte Chemie International Edition
- Partner nations
- United StatesSwedenUnited Kingdom
In The Last Decade
Natalia Mast
69 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 1.2k
- Surgery 944
- Pharmacology 517
- Endocrinology, Diabetes and Metabolism 450
- Oncology 350
Countries citing papers authored by Natalia Mast
This map shows the geographic impact of Natalia Mast'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 Natalia Mast with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalia Mast more than expected).
Fields of papers citing papers by Natalia Mast
This network shows the impact of papers produced by Natalia Mast. 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 Natalia Mast. The network helps show where Natalia Mast may publish in the future.
Co-authorship network of co-authors of Natalia Mast
This figure shows the co-authorship network connecting the top 25 collaborators of Natalia Mast. A scholar is included among the top collaborators of Natalia Mast 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 Natalia Mast. Natalia Mast 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 | 4 | |
| 3 | 7 | |
| 4 | 9 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 22 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 13 | |
| 12 | 6 | |
| 13 | 14 | |
| 14 | 23 | |
| 15 | 66 | |
| 16 | Efavirenz treatment reduces drusen-like lesions and choroidal neovascularization in the retina of 5XFAD mice, an Alzheimer’s disease model | 1 |
| 17 | 46 | |
| 18 | 55 | |
| 19 | 31 | |
| 20 | 34 |
About Natalia Mast
Natalia Mast is a scholar working on Pharmacology, Ophthalmology and Endocrinology, Diabetes and Metabolism, having authored 70 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (46 papers), Hormonal Regulation and Hypertension (21 papers) and Pharmacogenetics and Drug Metabolism (19 papers). The work is most often cited by research in Pharmacology (517 citations), Ophthalmology (270 citations) and Endocrinology, Diabetes and Metabolism (450 citations). Natalia Mast has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Irina A. Pikuleva, Ingemar Björkhem, Wenchao Zheng, Illarion V. Turko, Aicha Saadane, C.D. Stout, Alexey M. Petrov, C.D. Stout, Joseph B. Lin and Kyle W. Anderson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.
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.