Nataly Kacherovsky
- Molecular Biology top 10%
- Biomedical Engineering top 10%
- Infectious Diseases top 10%
- Immunology
- Plant Science
- Co-authors
- Elton T. YoungSuzie H. PunStephen J. SalipanteLucy YangKenneth M. DombekChristine TachibanaJean‐Bosco TagneIan I. Cardle
- Topics
- RNA Interference and Gene Delivery (9 papers)Advanced biosensing and bioanalysis techniques (9 papers)Fungal and yeast genetics research (7 papers)
- Journals
- Journal of the American Chemical SocietyNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesSwitzerland
In The Last Decade
Nataly Kacherovsky
26 papers receiving 939 citations
Peers
Comparison fields: 5 of 68
- Molecular Biology 851
- Biomedical Engineering 294
- Infectious Diseases 138
- Immunology 61
- Plant Science 56
Countries citing papers authored by Nataly Kacherovsky
This map shows the geographic impact of Nataly Kacherovsky'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 Nataly Kacherovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nataly Kacherovsky more than expected).
Fields of papers citing papers by Nataly Kacherovsky
This network shows the impact of papers produced by Nataly Kacherovsky. 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 Nataly Kacherovsky. The network helps show where Nataly Kacherovsky may publish in the future.
Co-authorship network of co-authors of Nataly Kacherovsky
This figure shows the co-authorship network connecting the top 25 collaborators of Nataly Kacherovsky. A scholar is included among the top collaborators of Nataly Kacherovsky 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 Nataly Kacherovsky. Nataly Kacherovsky 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 | 102 | |
| 3 | 0 | |
| 4 | 39 | |
| 5 | 7 | |
| 6 | 45 | |
| 7 | 18 | |
| 8 | 64 | |
| 9 | 39 | |
| 10 | 36 | |
| 11 | 11 | |
| 12 | 52 | |
| 13 | 18 | |
| 14 | 56 | |
| 15 | 78 | |
| 16 | 14 | |
| 17 | 19 | |
| 18 | 17 | |
| 19 | 2 | |
| 20 | 13 |
About Nataly Kacherovsky
Nataly Kacherovsky is a scholar working on Molecular Biology, Infectious Diseases and Oncology, having authored 27 papers that have together received 957 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (9 papers), Advanced biosensing and bioanalysis techniques (9 papers) and Fungal and yeast genetics research (7 papers). The work is most often cited by research in Molecular Biology (851 citations), Infectious Diseases (138 citations) and Biomedical Engineering (294 citations). Nataly Kacherovsky has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Elton T. Young, Suzie H. Pun, Stephen J. Salipante, Lucy Yang, Kenneth M. Dombek, Christine Tachibana, Jean‐Bosco Tagne, Ian I. Cardle, Michael C. Jensen and Sylvie Camier. Their work appears in journals such as Journal of the American Chemical Society, Nucleic Acids Research 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.