Natalia G. Kan

1.0k citations
12 papers · 795 indexed · 1 hit paper · h-index 8
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

In The Last Decade

Natalia G. Kan

12 papers receiving 783 citations

Hit Papers

Studying arrhythmogenic right ventricular dysplasia with ...20132026201720212013100200300

Peers

Natalia G. Kan
Comparison fields: 5 of 75
  • Molecular Biology 511
  • Cardiology and Cardiovascular Medicine 199
  • Surgery 180
  • Genetics 107
  • Biomedical Engineering 96
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Natalia G. Kan relative to Cecilia Riquelme Chile Cecilia Riquelme's profile →
Citations per field
00.5×3.8×
Cecilia Riquelme · 1×
Citations per year

Countries citing papers authored by Natalia G. Kan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

12 of 12 papers shown
#WorkIndexed 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.

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