Tetyana Duka
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Neurology top 5%
- Physiology top 10%
- Cognitive Neuroscience top 10%
- Co-authors
- Anita SidhuValeriy DukaJeffrey N. JoyceChet C. SherwoodPatrick R. HofDerek E. WildmanCheryl D. StimpsonChristopher W. Kuzawa
- Topics
- Alzheimer's disease research and treatments (4 papers)Neuroscience and Neuropharmacology Research (4 papers)Mitochondrial Function and Pathology (3 papers)
- Cited by
- Developmental NeuroscienceNeurology
- Journals
- Proceedings of the National Academy of SciencesThe FASEB JournalInternational Journal of Molecular Sciences
- Partner nations
- United StatesFrancePortugal
In The Last Decade
Tetyana Duka
16 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 424
- Cellular and Molecular Neuroscience 307
- Neurology 291
- Physiology 262
- Cognitive Neuroscience 215
Countries citing papers authored by Tetyana Duka
This map shows the geographic impact of Tetyana Duka'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 Tetyana Duka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetyana Duka more than expected).
Fields of papers citing papers by Tetyana Duka
This network shows the impact of papers produced by Tetyana Duka. 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 Tetyana Duka. The network helps show where Tetyana Duka may publish in the future.
Co-authorship network of co-authors of Tetyana Duka
This figure shows the co-authorship network connecting the top 25 collaborators of Tetyana Duka. A scholar is included among the top collaborators of Tetyana Duka 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 Tetyana Duka. Tetyana Duka 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 | 4 | |
| 3 | 6 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 16 | |
| 7 | 82 | |
| 8 | 102 | |
| 9 | 5 | |
| 10 | 413 | |
| 11 | 7 | |
| 12 | 219 | |
| 13 | 68 | |
| 14 | 41 | |
| 15 | 86 | |
| 16 | 94 | |
| 17 | 38 |
About Tetyana Duka
Tetyana Duka is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Hepatology, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Developmental Neuroscience (144 citations), Neurology (291 citations) and Neurology (145 citations). Tetyana Duka has collaborated with scholars based in United States, France and Portugal. Frequent co-authors include Anita Sidhu, Valeriy Duka, Jeffrey N. Joyce, Chet C. Sherwood, Patrick R. Hof, Derek E. Wildman, Cheryl D. Stimpson, Christopher W. Kuzawa, Steven J. Schapiro and Wallace B. Baze. Their work appears in journals such as Proceedings of the National Academy of Sciences, The FASEB Journal and International Journal of Molecular Sciences.
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.