Svetlana Mojsov
- Endocrinology, Diabetes and Metabolism top 0.2%
- Surgery top 1%
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 2%
- Immunology top 5%
- Co-authors
- Joel F. HabenerGordon C. WeirDaniel J. DruckerYang WeiJan PhilippéG. HeinrichLelio OrciMariella Ravazzola
- Topics
- Diabetes Treatment and Management (19 papers)Pancreatic function and diabetes (19 papers)Neuropeptides and Animal Physiology (14 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismEndocrine and Autonomic SystemsCellular and Molecular Neuroscience
- Partner nations
- United StatesCanadaHong Kong
In The Last Decade
Svetlana Mojsov
44 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Endocrinology, Diabetes and Metabolism 2.7k
- Surgery 2.2k
- Molecular Biology 1.6k
- Cellular and Molecular Neuroscience 1.1k
- Immunology 633
Countries citing papers authored by Svetlana Mojsov
This map shows the geographic impact of Svetlana Mojsov'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 Svetlana Mojsov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Svetlana Mojsov more than expected).
Fields of papers citing papers by Svetlana Mojsov
This network shows the impact of papers produced by Svetlana Mojsov. 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 Svetlana Mojsov. The network helps show where Svetlana Mojsov may publish in the future.
Co-authorship network of co-authors of Svetlana Mojsov
This figure shows the co-authorship network connecting the top 25 collaborators of Svetlana Mojsov. A scholar is included among the top collaborators of Svetlana Mojsov 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 Svetlana Mojsov. Svetlana Mojsov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 13 | |
| 3 | 22 | |
| 4 | 9 | |
| 5 | 7 | |
| 6 | 291 | |
| 7 | 17 | |
| 8 | 56 | |
| 9 | 33 | |
| 10 | 13 | |
| 11 | 21 | |
| 12 | 17 | |
| 13 | 62 | |
| 14 | 358 | |
| 15 | 27 | |
| 16 | 24 | |
| 17 | 39 | |
| 18 | 87 | |
| 19 | 216 | |
| 20 | 46 |
About Svetlana Mojsov
Svetlana Mojsov is a scholar working on Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience and Surgery, having authored 44 papers that have together received 4.8k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (19 papers), Pancreatic function and diabetes (19 papers) and Neuropeptides and Animal Physiology (14 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.7k citations), Endocrine and Autonomic Systems (473 citations) and Cellular and Molecular Neuroscience (1.1k citations). Svetlana Mojsov has collaborated with scholars based in United States, Canada and Hong Kong. Frequent co-authors include Joel F. Habener, Gordon C. Weir, Daniel J. Drucker, Yang Wei, Jan Philippé, G. Heinrich, Lelio Orci, Mariella Ravazzola, Ira B. Wilson and Gustaf N. Hendrick. Their work appears in journals such as Proceedings of the National Academy of Sciences, JAMA 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.