Natalya U. Fedosova
- Molecular Biology top 5%
- Rheumatology top 5%
- Biomedical Engineering
- Endocrinology, Diabetes and Metabolism top 10%
- Nutrition and Dietetics top 10%
- Co-authors
- Poul NissenLaure YatimeMette LaursenMikael EsmannSergey N. FedosovEbba NexøTorben E. PetersenJ.L. Gregersen
- Topics
- Ion Transport and Channel Regulation (47 papers)ATP Synthase and ATPases Research (18 papers)Membrane-based Ion Separation Techniques (12 papers)
- Partner nations
- DenmarkGermanyUnited States
In The Last Decade
Natalya U. Fedosova
70 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 105
- Molecular Biology 1.4k
- Rheumatology 231
- Biomedical Engineering 134
- Endocrinology, Diabetes and Metabolism 117
- Nutrition and Dietetics 116
Countries citing papers authored by Natalya U. Fedosova
This map shows the geographic impact of Natalya U. Fedosova'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 U. Fedosova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalya U. Fedosova more than expected).
Fields of papers citing papers by Natalya U. Fedosova
This network shows the impact of papers produced by Natalya U. Fedosova. 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 U. Fedosova. The network helps show where Natalya U. Fedosova may publish in the future.
Co-authorship network of co-authors of Natalya U. Fedosova
This figure shows the co-authorship network connecting the top 25 collaborators of Natalya U. Fedosova. A scholar is included among the top collaborators of Natalya U. Fedosova 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 U. Fedosova. Natalya U. Fedosova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 41 | |
| 8 | 5 | |
| 9 | 21 | |
| 10 | Discovery of Tricyclic Clerodane Diterpenes as Sarco/Endoplasmic Reticulum Ca(2+)-ATPase Inhibitors and Structure-Activity Relationships. | 1 |
| 11 | 1 | |
| 12 | 18 | |
| 13 | 119 | |
| 14 | 9 | |
| 15 | 20 | |
| 16 | 73 | |
| 17 | 23 | |
| 18 | 45 | |
| 19 | 0 | |
| 20 | 4 |
About Natalya U. Fedosova
Natalya U. Fedosova is a scholar working on Molecular Biology, Nephrology and Toxicology, having authored 72 papers that have together received 1.8k indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (47 papers), ATP Synthase and ATPases Research (18 papers) and Membrane-based Ion Separation Techniques (12 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Rheumatology (231 citations) and Toxicology (34 citations). Natalya U. Fedosova has collaborated with scholars based in Denmark, Germany and United States. Frequent co-authors include Poul Nissen, Laure Yatime, Mette Laursen, Mikael Esmann, Sergey N. Fedosov, Ebba Nexø, Torben E. Petersen, J.L. Gregersen, Irena Kłodos and Jens Preben Morth. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.