Natalia G. Kan
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Genetics
- Biomedical Engineering
- Co-authors
- Dirk JunghansJuan Carlos Izpisúa BelmonteSean SpieringHugh CalkinsDaniel P. JudgeShirong WangHuei-Sheng Vincent ChenCheng Wang
- Topics
- Genetic diversity and population structure (5 papers)Evolution and Genetic Dynamics (4 papers)Pluripotent Stem Cells Research (3 papers)
- Journals
- NatureProceedings of the National Academy of SciencesSHILAP Revista de lepidopterología
- Partner nations
- United StatesRussiaArmenia
In The Last Decade
Natalia G. Kan
12 papers receiving 783 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Molecular Biology 511
- Cardiology and Cardiovascular Medicine 199
- Surgery 180
- Genetics 107
- Biomedical Engineering 96
Countries citing papers authored by Natalia G. Kan
This map shows the geographic impact of Natalia G. Kan'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 G. Kan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalia G. Kan more than expected).
Fields of papers citing papers by Natalia G. Kan
This network shows the impact of papers produced by Natalia G. Kan. 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 G. Kan. The network helps show where Natalia G. Kan may publish in the future.
Co-authorship network of co-authors of Natalia G. Kan
This figure shows the co-authorship network connecting the top 25 collaborators of Natalia G. Kan. A scholar is included among the top collaborators of Natalia G. Kan 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 G. Kan. Natalia G. Kan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Studying arrhythmogenic right ventricular dysplasia with patient-specific iPSCsbreakdown → | 396 |
| 2 | 7 | |
| 3 | 117 | |
| 4 | 41 | |
| 5 | 76 | |
| 6 | 81 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 39 | |
| 10 | 2 | |
| 11 | [Increased variability of (TCC)n microsatelline loci in populations of the parthenogenetic lizard Lacerta unisexualis Darevsky]. | 7 |
| 12 | [Variability of multilocus DNA markers in populations of the Siberian (Capreolus pygargus Pall.) and European (C. capreolus L.) roe deer]. | 17 |
About Natalia G. Kan
Natalia G. Kan is a scholar working on Genetics, Hepatology and Food Science, having authored 12 papers that have together received 795 indexed citations. Recurring topics across this work include Genetic diversity and population structure (5 papers), Evolution and Genetic Dynamics (4 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (199 citations), Orthopedics and Sports Medicine (70 citations) and Molecular Biology (511 citations). Natalia G. Kan has collaborated with scholars based in United States, Russia and Armenia. Frequent co-authors include Dirk Junghans, Juan Carlos Izpisúa Belmonte, Sean Spiering, Hugh Calkins, Daniel P. Judge, Shirong Wang, Huei-Sheng Vincent Chen, Cheng Wang, Johnson Wong and Daniel P. Kelly. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.
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.